diff --git a/pkgdown.yml b/pkgdown.yml index 83ad69c..df36963 100644 --- a/pkgdown.yml +++ b/pkgdown.yml @@ -2,7 +2,7 @@ pandoc: 3.1.11 pkgdown: 2.0.7 pkgdown_sha: ~ articles: {} -last_built: 2024-03-25T16:15Z +last_built: 2024-03-25T16:56Z urls: reference: http://samuelaeschbach.com/associatoR/reference article: http://samuelaeschbach.com/associatoR/articles diff --git a/reference/Rplot001.png b/reference/Rplot001.png index 17a3580..47ba6a0 100644 Binary files a/reference/Rplot001.png and b/reference/Rplot001.png differ diff --git a/reference/Rplot002.png b/reference/Rplot002.png index 131cf26..7d56960 100644 Binary files a/reference/Rplot002.png and b/reference/Rplot002.png differ diff --git a/reference/plot.associatoR-1.png b/reference/plot.associatoR-1.png index 3685969..428381b 100644 Binary files a/reference/plot.associatoR-1.png and b/reference/plot.associatoR-1.png differ diff --git a/reference/plot.associatoR-2.png b/reference/plot.associatoR-2.png index e444a20..16d6457 100644 Binary files a/reference/plot.associatoR-2.png and b/reference/plot.associatoR-2.png differ diff --git a/reference/plot.associatoR.html b/reference/plot.associatoR.html index 6508b7c..0fde700 100644 --- a/reference/plot.associatoR.html +++ b/reference/plot.associatoR.html @@ -86,10 +86,8 @@

Examples participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets("cues") %>% - plot(facets = "gender", top_n = 10) -#> Error in dplyr::filter(., !!!filters): We detected a named input. -#> ℹ This usually means that you've used `=` instead of `==`. -#> ℹ Did you mean `facets == "gender"`? + plot(facet_by = "gender", top_n = 10) + ar_import(intelligence, participant = participant_id, @@ -98,8 +96,8 @@

Examples participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets("cues") %>% - plot(facets = "education", top_n = 10, gender == "female") -#> Error: object 'gender' not found + plot(facet_by = "education", top_n = 10, gender == "female") + diff --git a/search.json b/search.json index 1cdb524..64fe994 100644 --- a/search.json +++ b/search.json @@ -1 +1 @@ -[{"path":"http://samuelaeschbach.com/associatoR/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Samuel Aeschbach. Author, maintainer. Dirk U. Wulff. Author. Rui Mata. Contributor.","code":""},{"path":"http://samuelaeschbach.com/associatoR/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Aeschbach S, Wulff DU (2024). associatoR: Analyzing free associations. R package version 0.1.0.9, https://CRAN.R-project.org/package=associatoR.","code":"@Manual{, title = {associatoR: Analyzing free associations}, author = {Samuel Aeschbach and Dirk U. Wulff}, year = {2024}, note = {R package version 0.1.0.9}, url = {https://CRAN.R-project.org/package=associatoR}, }"},{"path":"http://samuelaeschbach.com/associatoR/index.html","id":"associator","dir":"","previous_headings":"","what":"Analyzing free associations","title":"Analyzing free associations","text":"Associations offer window mind, revealing words, concepts, topics represented. can used map humans artificial intelligence think key social technological issues. associatoR R package analyzing free association data. covers entire analysis pipeline, importing processing embedding, clustering, visualizing data.","code":""},{"path":"http://samuelaeschbach.com/associatoR/index.html","id":"team","dir":"","previous_headings":"","what":"Team","title":"Analyzing free associations","text":"associatoR package developed Samuel Aeschbach Dirk U. Wulff, contributions Rui Mata.","code":""},{"path":"http://samuelaeschbach.com/associatoR/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Analyzing free associations","text":"latest development version GitHub can installed via devtools::install_github(\"samuelae/associatoR\"). may require prior installation devtools package via install.packages(\"devtools\").","code":""},{"path":"http://samuelaeschbach.com/associatoR/index.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Analyzing free associations","text":"Please cite package : Aeschbach, S., Mata, R., & Wulff, D. U. (2024, March 22). Mapping Mind Free Associations: Tutorial Using R Package associatoR. https://doi.org/10.31234/osf.io/ra87s","code":""},{"path":"http://samuelaeschbach.com/associatoR/index.html","id":"overview","dir":"","previous_headings":"","what":"Overview","title":"Analyzing free associations","text":"Figure provides overview functionality associatoR package based example presented Aeschbach, Mata, & Wulff (2024).","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_characterize_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Characterize targets using additional resources — ar_characterize_targets","title":"Characterize targets using additional resources — ar_characterize_targets","text":"Append target characteristics targets table associatoR object. Use pre-defined characteristics psycho-linguistic research supply data.frame user-defined look-table.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_characterize_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Characterize targets using additional resources — ar_characterize_targets","text":"","code":"ar_characterize_targets( associations, characteristics = c(\"valence\", \"arousal\", \"dominance\", \"concreteness\", \"word_frequency\"), case_sensitive = FALSE )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_characterize_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Characterize targets using additional resources — ar_characterize_targets","text":"associations associatoR object containing association data generated ar_import. characteristics character string vector specifying characteristic(s) containing one c(\"valence\", \"arousal\", \"dominance\", \"concreteness\", \"word_frequency\") data.frame containing characteristics. data.frame must contain column word serve look key may contain additional columns word characteristics. case_sensitive logical specifying whether case targets. Default FALSE.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_characterize_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Characterize targets using additional resources — ar_characterize_targets","text":"Returns associatoR object containing list tibbles, targets gaining additional columns including target characteristics: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes. targets tibble targets including specified analysis targets, word characteristics","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_characterize_targets.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Characterize targets using additional resources — ar_characterize_targets","text":"Data valence, arousal, dominance retrieved Warriner et al. (2013). Concreteness word frequency data retrieved Brysbaert et al. (2014).","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_characterize_targets.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Characterize targets using additional resources — ar_characterize_targets","text":"Warriner, . B., Kuperman, V., & Brysbaert, M. (2013). Norms valence, arousal, dominance 13,915 English lemmas. Behavior Research Methods, 45(4), 1191–1207. https://doi.org/10.3758/s13428-012-0314-x Brysbaert, M., Warriner, . B., & Kuperman, V. (2014). Concreteness ratings 40 thousand generally known English word lemmas. Behavior Research Methods, 46(3), 904–911. https://doi.org/10.3758/s13428-013-0403-5","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_characterize_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Characterize targets using additional resources — ar_characterize_targets","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_characterize_targets() #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 6 #> target valence arousal dominance concreteness word_frequency #> #> 1 intelligence 7.65 6.32 6.72 2.24 983 #> 2 Einstein NA NA NA NA NA #> 3 books NA NA NA NA NA #> 4 IQ tests NA NA NA NA NA #> 5 college 6.44 4 5.89 4.62 4344 #> # ℹ 799 more rows #> ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_characterize_targets(characteristics = data.frame(word = c(\"intelligence\", \"brain\"), message = c(\"Hello\", \"World\"))) #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 2 #> target message #> #> 1 intelligence Hello #> 2 Einstein NA #> 3 books NA #> 4 IQ tests NA #> 5 college NA #> # ℹ 799 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_stability.html","id":null,"dir":"Reference","previous_headings":"","what":"Cluster stability — ar_cluster_stability","title":"Cluster stability — ar_cluster_stability","text":"ar_cluster_stability evaluates stability clustering generated ar_cluster_targets()","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_stability.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cluster stability — ar_cluster_stability","text":"","code":"ar_cluster_stability(associations, n_boot = 1000, unique = TRUE)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_stability.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Cluster stability — ar_cluster_stability","text":"associations associatoR object including target_embeddings. n_boot integer specifying number bootstrap samples draw. Default 1000. unique logical specifying whether targets duplicates bootstrap samples ignored. Default TRUE.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_stability.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Cluster stability — ar_cluster_stability","text":"function returns list containing two matrices target- (target_stability) cluster-wise (cluster_stability) probabilities assigned cluster random pertubation.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_stability.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Cluster stability — ar_cluster_stability","text":"Clustering stability calculated identical clustering settings (e.g., clustering algorithm, similarity function, etc.) used generate original cluster assignment. information stored attribute targets table name \"cluster_settings\".","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_stability.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Cluster stability — ar_cluster_stability","text":"","code":"ar_obj = ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_embed_targets() %>% ar_cluster_targets(method = \"louvain\") #> 456 targets with count < min_count were dropped from embedding. # in productive use, n_boot should be set higher, defaults to 1000 ar_cluster_stability(ar_obj, n_boot = 10) #> $target_stability #> intelligence Einstein books IQ tests college #> intelligence 1.0000000 0.1666667 0.0000000 1.0000000 0.0000000 #> Einstein 0.1666667 1.0000000 0.0000000 0.2500000 0.0000000 #> books 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> IQ tests 1.0000000 0.2500000 0.0000000 1.0000000 0.0000000 #> college 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> smart people 0.0000000 0.5000000 0.0000000 0.0000000 NaN #> brain 0.6250000 0.4000000 0.0000000 0.6000000 0.0000000 #> genius 0.0000000 0.5000000 0.0000000 0.0000000 0.0000000 #> technology 0.0000000 0.6666667 0.0000000 0.0000000 0.0000000 #> science 0.0000000 0.6000000 0.0000000 0.0000000 0.0000000 #> puzzles 0.9000000 0.1666667 0.0000000 0.8571429 0.0000000 #> knowledge 0.5000000 0.0000000 0.4000000 0.3333333 0.6666667 #> learning 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> reading 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> math 0.1666667 0.3333333 0.8333333 0.1666667 1.0000000 #> professor 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> IQ 1.0000000 0.2500000 0.0000000 1.0000000 0.0000000 #> chess 0.8888889 0.3333333 0.0000000 0.8333333 0.0000000 #> logic 0.7142857 0.2500000 0.0000000 0.6666667 0.0000000 #> debate 0.5000000 0.3333333 0.0000000 0.6666667 0.5000000 #> computer 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> school 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> education 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> grades 0.0000000 0.0000000 1.0000000 0.0000000 NaN #> university 0.0000000 0.0000000 1.0000000 0.0000000 NaN #> teacher 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> problem solving 0.5000000 0.2500000 0.0000000 0.3333333 0.0000000 #> critical thinking 0.7500000 0.4000000 0.0000000 0.6666667 0.0000000 #> innovation 0.0000000 0.8000000 0.0000000 0.0000000 0.0000000 #> coding 0.0000000 0.7500000 0.0000000 0.0000000 0.0000000 #> intelligence agency 0.0000000 0.2500000 0.0000000 0.0000000 0.0000000 #> library 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> study 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> intelligence quotient 1.0000000 0.2500000 0.0000000 1.0000000 0.0000000 #> scholarship 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> academic 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> history 0.0000000 0.6666667 0.0000000 0.0000000 0.0000000 #> linguistics 0.2000000 0.3333333 0.7500000 0.3333333 1.0000000 #> psychology 0.5000000 0.3333333 0.0000000 0.5000000 0.0000000 #> philosophy 0.8000000 0.3333333 0.0000000 0.6666667 0.0000000 #> neuroscience 0.4285714 0.2500000 0.0000000 0.4000000 0.0000000 #> smartwatch NA NA NA NA NA #> artificial intelligence 0.0000000 0.6666667 0.0000000 0.0000000 0.0000000 #> research 0.0000000 0.0000000 0.8000000 0.0000000 1.0000000 #> discoveries 0.0000000 0.7500000 0.0000000 0.0000000 0.0000000 #> inventions 0.0000000 0.6666667 0.0000000 0.0000000 0.0000000 #> Mensa 1.0000000 0.0000000 0.0000000 1.0000000 0.0000000 #> trivia 0.1666667 0.0000000 0.8333333 0.0000000 1.0000000 #> quantum physics 0.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> analytics 0.0000000 0.5000000 0.0000000 0.0000000 0.0000000 #> strategy games NA NA NA NA NA #> smart 0.8571429 0.3333333 0.0000000 0.8333333 0.0000000 #> tests 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> book smart 0.2000000 0.0000000 0.8000000 0.2000000 1.0000000 #> brains 0.8571429 0.6666667 0.0000000 0.8000000 0.0000000 #> wisdom 0.5000000 0.5000000 0.0000000 0.4000000 0.0000000 #> Stephen Hawking 0.1428571 1.0000000 0.0000000 0.1666667 0.0000000 #> clever 0.8750000 0.2500000 0.0000000 0.8000000 0.0000000 #> high scores NA NA NA NA NA #> mental NA NA NA NA NA #> intellectuals 1.0000000 0.2000000 0.0000000 1.0000000 0.0000000 #> savvy 0.8750000 0.2500000 0.0000000 0.8571429 0.0000000 #> success 0.5555556 0.3333333 0.1250000 0.6666667 0.0000000 #> nerd NA NA NA NA NA #> thinking 1.0000000 0.0000000 0.0000000 1.0000000 0.0000000 #> comprehension 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> understanding 0.5000000 0.2000000 0.0000000 0.4000000 0.0000000 #> creativity 0.1250000 0.4000000 0.0000000 0.0000000 0.0000000 #> insight 0.7142857 0.2500000 0.0000000 0.6666667 0.0000000 #> mastery NA NA NA NA NA #> scholars 0.4285714 0.0000000 0.5000000 0.2500000 0.5000000 #> expertise 0.5000000 0.0000000 0.0000000 0.6666667 0.0000000 #> intelligence agencies 0.0000000 0.6666667 0.0000000 0.0000000 NaN #> cunning NA NA NA NA NA #> bright NA NA NA NA NA #> aptitude 0.2500000 0.0000000 0.5000000 0.0000000 0.0000000 #> scholarships 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> analysis 0.5000000 0.2500000 0.0000000 0.5000000 0.0000000 #> competition 0.3333333 0.3333333 0.0000000 0.5000000 0.0000000 #> strategy 0.3750000 0.5000000 0.0000000 0.4000000 0.0000000 #> apt brain NA NA NA NA NA #> achievements NA NA NA NA NA #> curiosity 0.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> observation NA NA NA NA NA #> quick witted 1.0000000 0.2500000 0.0000000 1.0000000 0.0000000 #> informed 1.0000000 0.0000000 0.0000000 1.0000000 0.0000000 #> street smart NA NA NA NA NA #> Smart people 0.0000000 0.5000000 0.2500000 0.0000000 0.0000000 #> Albert Einstein 0.1428571 1.0000000 0.0000000 0.2000000 0.0000000 #> AI 0.0000000 0.6000000 0.0000000 0.0000000 0.0000000 #> professors 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> scientists 0.0000000 0.3333333 0.0000000 0.0000000 0.0000000 #> data 0.0000000 0.6000000 0.0000000 0.0000000 0.0000000 #> computer programming 0.0000000 0.7500000 0.0000000 0.0000000 0.0000000 #> memory 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> spies 0.0000000 0.7500000 0.0000000 0.0000000 0.0000000 #> codes NA NA NA NA NA #> cybersecurity NA NA NA NA NA #> hacking NA NA NA NA NA #> language skills 0.3333333 0.2000000 0.2000000 0.3333333 0.5000000 #> writing 0.0000000 0.6666667 0.3333333 0.0000000 0.3333333 #> debates 0.6666667 0.6666667 0.1666667 0.8000000 0.0000000 #> mathematics 0.0000000 NaN 1.0000000 0.0000000 1.0000000 #> Smart 0.7500000 0.0000000 0.1428571 0.8000000 0.0000000 #> Brain 0.4285714 0.3333333 0.1428571 0.6000000 0.0000000 #> Science 0.0000000 0.6000000 0.0000000 0.0000000 0.0000000 #> Genius 0.0000000 0.6000000 0.0000000 0.0000000 0.0000000 #> University 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> Knowledge 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> Books 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> Problem solving 0.5000000 0.3333333 0.0000000 0.3333333 0.0000000 #> Chess 1.0000000 0.2500000 0.0000000 1.0000000 0.0000000 #> Mathematics 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> Technology 0.0000000 0.7500000 0.0000000 0.0000000 0.0000000 #> Inventions NA NA NA NA NA #> Bill Gates 0.0000000 0.5000000 0.0000000 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA NA NA #> Steve Jobs 0.0000000 0.6000000 0.0000000 0.0000000 0.0000000 #> Education 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> Grades 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> Diploma 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> Scholarships 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> Logic 1.0000000 0.0000000 0.0000000 1.0000000 0.0000000 #> Analysis 0.0000000 0.5000000 0.4285714 0.0000000 0.0000000 #> smart people brain genius technology #> intelligence 0.0000000 0.6250000 0.0000000 0.0000000 #> Einstein 0.5000000 0.4000000 0.5000000 0.6666667 #> books 0.0000000 0.0000000 0.0000000 0.0000000 #> IQ tests 0.0000000 0.6000000 0.0000000 0.0000000 #> college NaN 0.0000000 0.0000000 0.0000000 #> smart people 1.0000000 0.0000000 1.0000000 1.0000000 #> brain 0.0000000 1.0000000 0.0000000 0.0000000 #> genius 1.0000000 0.0000000 1.0000000 1.0000000 #> technology 1.0000000 0.0000000 1.0000000 1.0000000 #> science 1.0000000 0.0000000 1.0000000 1.0000000 #> puzzles 0.0000000 0.7500000 0.0000000 0.0000000 #> knowledge 0.0000000 0.1666667 0.0000000 0.0000000 #> learning 0.0000000 0.0000000 0.0000000 0.0000000 #> reading 0.0000000 0.0000000 0.0000000 0.0000000 #> math 0.0000000 0.2500000 0.0000000 0.0000000 #> professor 0.0000000 0.0000000 0.0000000 0.0000000 #> IQ 0.0000000 0.6000000 0.0000000 0.0000000 #> chess 0.0000000 0.7142857 0.0000000 0.0000000 #> logic 0.0000000 1.0000000 0.0000000 0.0000000 #> debate NaN 0.6666667 0.0000000 0.0000000 #> computer 0.0000000 0.0000000 0.0000000 0.0000000 #> school 0.0000000 0.0000000 0.0000000 0.0000000 #> education 0.0000000 0.0000000 0.0000000 0.0000000 #> grades 0.0000000 0.0000000 0.0000000 0.0000000 #> university 0.0000000 0.0000000 0.0000000 0.0000000 #> teacher 0.0000000 0.0000000 0.0000000 0.0000000 #> problem solving 0.5000000 0.6000000 0.0000000 0.2000000 #> critical thinking 0.0000000 1.0000000 0.0000000 0.0000000 #> innovation 1.0000000 0.0000000 1.0000000 1.0000000 #> coding 1.0000000 0.0000000 1.0000000 1.0000000 #> intelligence agency 0.5000000 0.0000000 0.7500000 0.6000000 #> library 0.0000000 0.0000000 0.0000000 0.0000000 #> study 0.0000000 0.0000000 0.0000000 0.0000000 #> intelligence quotient 0.0000000 0.5000000 0.0000000 0.0000000 #> scholarship 0.0000000 0.0000000 0.0000000 0.0000000 #> academic 0.0000000 0.0000000 0.0000000 0.0000000 #> history 1.0000000 0.0000000 1.0000000 1.0000000 #> linguistics NaN 0.2500000 0.0000000 0.0000000 #> psychology 0.0000000 1.0000000 0.0000000 0.0000000 #> philosophy 0.0000000 0.6666667 0.0000000 0.0000000 #> neuroscience 0.0000000 1.0000000 0.0000000 0.0000000 #> smartwatch NA NA NA NA #> artificial intelligence 1.0000000 0.0000000 1.0000000 1.0000000 #> research 1.0000000 0.0000000 0.0000000 0.2500000 #> discoveries 1.0000000 0.0000000 1.0000000 1.0000000 #> inventions 1.0000000 0.0000000 1.0000000 1.0000000 #> Mensa 0.0000000 0.6000000 0.0000000 0.0000000 #> trivia 0.0000000 0.0000000 0.0000000 0.0000000 #> quantum physics 1.0000000 0.0000000 1.0000000 1.0000000 #> analytics 1.0000000 0.0000000 1.0000000 1.0000000 #> strategy games NA NA NA NA #> smart 0.0000000 0.5000000 0.0000000 0.0000000 #> tests 0.0000000 0.0000000 0.0000000 0.0000000 #> book smart 0.0000000 0.2000000 0.0000000 0.0000000 #> brains 0.0000000 0.8333333 0.0000000 0.0000000 #> wisdom 0.0000000 0.8000000 0.0000000 0.0000000 #> Stephen Hawking 0.6666667 0.3333333 0.6000000 0.6000000 #> clever 0.0000000 0.7142857 0.0000000 0.0000000 #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals 0.0000000 0.5714286 0.0000000 0.0000000 #> savvy 0.0000000 0.5000000 0.0000000 0.0000000 #> success 0.0000000 0.7142857 0.0000000 0.1250000 #> nerd NA NA NA NA #> thinking 0.0000000 0.5000000 0.0000000 0.0000000 #> comprehension 0.0000000 0.0000000 0.0000000 0.0000000 #> understanding 0.0000000 1.0000000 0.0000000 0.0000000 #> creativity 1.0000000 0.3333333 0.6000000 0.6666667 #> insight 0.0000000 1.0000000 0.0000000 0.0000000 #> mastery NA NA NA NA #> scholars 0.0000000 0.2000000 0.0000000 0.0000000 #> expertise 0.5000000 0.2500000 0.0000000 0.3333333 #> intelligence agencies 0.5000000 0.0000000 1.0000000 0.7500000 #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude 0.0000000 0.0000000 0.0000000 0.0000000 #> scholarships 0.0000000 0.0000000 0.0000000 0.0000000 #> analysis 0.0000000 0.7500000 0.2000000 0.2000000 #> competition 0.3333333 0.5000000 0.0000000 0.4000000 #> strategy 0.2500000 0.5000000 0.0000000 0.3333333 #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity 0.6666667 0.1666667 0.8000000 0.8333333 #> observation NA NA NA NA #> quick witted 0.0000000 0.8333333 0.0000000 0.0000000 #> informed 0.0000000 0.5000000 0.0000000 0.0000000 #> street smart NA NA NA NA #> Smart people 1.0000000 0.0000000 0.7500000 0.7500000 #> Albert Einstein 1.0000000 0.2000000 0.8000000 0.8333333 #> AI 1.0000000 0.0000000 1.0000000 1.0000000 #> professors 0.0000000 0.0000000 0.0000000 0.0000000 #> scientists 1.0000000 0.0000000 1.0000000 1.0000000 #> data 1.0000000 0.0000000 1.0000000 1.0000000 #> computer programming 1.0000000 0.0000000 1.0000000 1.0000000 #> memory 0.0000000 0.0000000 0.0000000 0.0000000 #> spies 0.5000000 0.0000000 0.6666667 0.6000000 #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills 0.0000000 0.6000000 0.0000000 0.0000000 #> writing 1.0000000 0.0000000 0.0000000 0.6666667 #> debates 0.0000000 0.8000000 0.0000000 0.0000000 #> mathematics 0.0000000 0.0000000 NaN 0.0000000 #> Smart 0.0000000 0.3333333 0.0000000 0.0000000 #> Brain 0.0000000 0.8333333 0.0000000 0.0000000 #> Science 1.0000000 0.0000000 1.0000000 1.0000000 #> Genius 1.0000000 0.0000000 1.0000000 1.0000000 #> University 0.0000000 0.0000000 0.0000000 0.0000000 #> Knowledge 0.0000000 0.0000000 0.0000000 0.0000000 #> Books 0.0000000 0.0000000 0.0000000 0.0000000 #> Problem solving 0.0000000 1.0000000 0.0000000 0.0000000 #> Chess 0.0000000 0.6666667 0.0000000 0.0000000 #> Mathematics 0.0000000 0.0000000 0.0000000 0.0000000 #> Technology 1.0000000 0.0000000 1.0000000 1.0000000 #> Inventions NA NA NA NA #> Bill Gates 1.0000000 0.0000000 1.0000000 1.0000000 #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs 1.0000000 0.0000000 1.0000000 1.0000000 #> Education 0.0000000 0.0000000 0.0000000 0.0000000 #> Grades 0.0000000 0.0000000 0.0000000 0.0000000 #> Diploma 0.0000000 0.0000000 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0.0000000 0.0000000 #> coding 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> intelligence agency 0.4000000 0.0000000 0.0000000 0.0000000 0.0000000 #> library 0.0000000 0.0000000 0.3333333 1.0000000 1.0000000 #> study 0.0000000 0.0000000 0.6000000 1.0000000 1.0000000 #> intelligence quotient 0.0000000 0.8333333 1.0000000 0.0000000 0.0000000 #> scholarship 0.0000000 0.0000000 0.6000000 1.0000000 1.0000000 #> academic 0.0000000 0.0000000 0.6666667 1.0000000 1.0000000 #> history 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> linguistics 0.0000000 0.2000000 0.6666667 0.7500000 0.6666667 #> psychology 0.0000000 0.5000000 0.2500000 0.0000000 0.0000000 #> philosophy 0.0000000 0.8000000 0.5000000 0.0000000 0.0000000 #> neuroscience 0.0000000 0.5714286 0.0000000 0.0000000 0.0000000 #> smartwatch NA NA NA NA NA #> artificial intelligence 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> research 0.2000000 0.0000000 0.4000000 0.8000000 0.7500000 #> discoveries 1.0000000 0.0000000 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0.4000000 0.2500000 #> writing 0.6666667 0.0000000 0.0000000 0.5000000 0.3333333 #> debates 0.0000000 0.6666667 0.0000000 0.3333333 0.2000000 #> mathematics 0.0000000 0.0000000 0.5000000 1.0000000 1.0000000 #> Smart 0.0000000 0.6250000 0.3333333 0.2000000 0.0000000 #> Brain 0.0000000 0.5714286 0.0000000 0.2000000 0.0000000 #> Science 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Genius 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> University 0.0000000 0.0000000 0.5000000 1.0000000 1.0000000 #> Knowledge 0.0000000 0.0000000 1.0000000 1.0000000 1.0000000 #> Books 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> Problem solving 0.0000000 0.7500000 0.3333333 0.0000000 0.0000000 #> Chess 0.0000000 0.8571429 0.7500000 0.0000000 0.0000000 #> Mathematics 0.0000000 0.0000000 1.0000000 1.0000000 1.0000000 #> Technology 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Inventions NA NA NA NA NA #> Bill Gates 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Neil deGrasse 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0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> science 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> puzzles 0.1666667 0.0000000 0.8333333 0.7777778 0.8571429 #> knowledge 0.5000000 0.6000000 0.3333333 0.5000000 0.2500000 #> learning 0.7500000 1.0000000 0.0000000 0.0000000 0.0000000 #> reading 0.8000000 1.0000000 0.0000000 0.0000000 0.0000000 #> math 1.0000000 1.0000000 0.2500000 0.2000000 0.0000000 #> professor 1.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> IQ 0.2500000 0.0000000 1.0000000 0.8000000 0.5000000 #> chess 0.2000000 0.0000000 0.8000000 1.0000000 0.8333333 #> logic 0.0000000 0.0000000 0.5000000 0.8333333 1.0000000 #> debate 0.3333333 0.3333333 0.5000000 0.5000000 1.0000000 #> computer 0.7500000 1.0000000 0.0000000 0.0000000 0.0000000 #> school 0.7500000 1.0000000 0.0000000 0.0000000 0.0000000 #> education 0.7500000 1.0000000 0.0000000 0.0000000 0.0000000 #> grades NaN 1.0000000 0.0000000 0.0000000 0.0000000 #> university 0.7500000 1.0000000 0.0000000 0.0000000 0.0000000 #> teacher 1.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> problem solving 0.3333333 0.0000000 1.0000000 0.5000000 0.3333333 #> critical thinking 0.2000000 0.0000000 0.6666667 0.8571429 1.0000000 #> innovation 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> coding 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> intelligence agency 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> library 1.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> study 0.8000000 1.0000000 0.0000000 0.0000000 0.0000000 #> intelligence quotient 0.2500000 0.0000000 1.0000000 1.0000000 0.7500000 #> scholarship 0.8000000 1.0000000 0.0000000 0.0000000 0.0000000 #> academic 0.5000000 1.0000000 0.0000000 0.0000000 0.0000000 #> history 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> linguistics 1.0000000 1.0000000 0.3333333 0.2000000 0.0000000 #> psychology 0.0000000 0.0000000 0.5000000 0.6666667 0.8000000 #> philosophy 0.3333333 0.0000000 1.0000000 0.8000000 0.5000000 #> 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0.3333333 0.2000000 #> clever 0.2500000 0.0000000 0.8000000 0.7142857 0.6000000 #> high scores NA NA NA NA NA #> mental NA NA NA NA NA #> intellectuals 0.2000000 0.0000000 1.0000000 0.8571429 0.6000000 #> savvy 0.1666667 0.0000000 0.8000000 0.7142857 0.5000000 #> success 0.2000000 0.1428571 0.5000000 0.5000000 0.8333333 #> nerd NA NA NA NA NA #> thinking 0.0000000 0.0000000 1.0000000 1.0000000 0.6666667 #> comprehension 1.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> understanding 0.0000000 0.0000000 0.6000000 0.5714286 0.8333333 #> creativity 0.0000000 0.0000000 0.0000000 0.1428571 0.2857143 #> insight 0.1666667 0.0000000 0.7500000 0.6666667 0.8333333 #> mastery NA NA NA NA NA #> scholars 0.5000000 0.6000000 0.2500000 0.4285714 0.2500000 #> expertise 0.0000000 0.0000000 1.0000000 0.3333333 0.3333333 #> intelligence agencies 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> cunning NA NA NA NA NA #> bright NA NA NA NA NA #> aptitude 0.3333333 0.5000000 0.0000000 0.3333333 0.0000000 #> scholarships 1.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> analysis 0.0000000 0.0000000 0.4000000 0.6000000 1.0000000 #> competition 0.0000000 0.0000000 0.5000000 0.2000000 0.7500000 #> strategy 0.0000000 0.0000000 0.5000000 0.4285714 0.6666667 #> apt brain NA NA NA NA NA #> achievements NA NA NA NA NA #> curiosity 0.0000000 0.0000000 0.0000000 0.1666667 0.2000000 #> observation NA NA NA NA NA #> quick witted 0.2500000 0.0000000 1.0000000 1.0000000 1.0000000 #> informed 0.0000000 0.0000000 1.0000000 0.8000000 0.5000000 #> street smart NA NA NA NA NA #> Smart people 0.0000000 0.2000000 0.0000000 0.0000000 0.0000000 #> Albert Einstein 0.2000000 0.0000000 0.2000000 0.1666667 0.0000000 #> AI 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> professors 0.7500000 1.0000000 0.0000000 0.0000000 0.0000000 #> scientists 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> data 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> computer programming 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> memory 0.8000000 1.0000000 0.0000000 0.0000000 0.0000000 #> spies 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> codes NA NA NA NA NA #> cybersecurity NA NA NA NA NA #> hacking NA NA NA NA NA #> language skills 0.3333333 0.2500000 0.3333333 0.3333333 0.6666667 #> writing 0.3333333 0.2500000 0.0000000 0.0000000 0.0000000 #> debates 0.2500000 0.0000000 0.6666667 0.8000000 1.0000000 #> mathematics 1.0000000 1.0000000 NaN 0.0000000 0.0000000 #> Smart 0.0000000 0.1428571 0.7500000 0.6250000 0.3333333 #> Brain 0.0000000 0.1666667 0.5000000 0.5000000 0.8333333 #> Science 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Genius 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> University 0.8333333 1.0000000 0.0000000 0.0000000 0.0000000 #> Knowledge 1.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> Books 1.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> Problem solving 0.0000000 0.0000000 0.3333333 0.7500000 1.0000000 #> Chess 0.2000000 0.0000000 1.0000000 1.0000000 0.8000000 #> Mathematics 1.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> Technology 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Inventions NA NA NA NA NA #> Bill Gates 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA NA NA #> Steve Jobs 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Education 0.8000000 1.0000000 0.0000000 0.0000000 0.0000000 #> Grades 1.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> Diploma 1.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> Scholarships 0.8000000 1.0000000 0.0000000 0.0000000 0.0000000 #> Logic 0.0000000 0.0000000 1.0000000 1.0000000 1.0000000 #> Analysis 0.2500000 0.3333333 0.0000000 0.1666667 0.1666667 #> debate computer school education grades #> intelligence 0.5000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Einstein 0.3333333 0.0000000 0.0000000 0.0000000 0.0000000 #> books 0.0000000 1.0000000 1.0000000 1.0000000 1.0000000 #> IQ tests 0.6666667 0.0000000 0.0000000 0.0000000 0.0000000 #> college 0.5000000 1.0000000 1.0000000 1.0000000 NaN #> smart people NaN 0.0000000 0.0000000 0.0000000 0.0000000 #> brain 0.6666667 0.0000000 0.0000000 0.0000000 0.0000000 #> genius 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> technology 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> science 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> puzzles 0.7500000 0.0000000 0.0000000 0.0000000 0.0000000 #> knowledge 0.5000000 0.0000000 0.6666667 0.6000000 0.3333333 #> learning 0.2500000 1.0000000 1.0000000 1.0000000 1.0000000 #> reading 0.0000000 1.0000000 1.0000000 1.0000000 1.0000000 #> math 0.3333333 0.7500000 0.7500000 0.7500000 NaN #> professor 0.3333333 1.0000000 1.0000000 1.0000000 1.0000000 #> IQ 0.5000000 0.0000000 0.0000000 0.0000000 0.0000000 #> chess 0.5000000 0.0000000 0.0000000 0.0000000 0.0000000 #> logic 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> debate 1.0000000 0.0000000 0.0000000 0.5000000 NaN #> computer 0.0000000 1.0000000 1.0000000 1.0000000 1.0000000 #> school 0.0000000 1.0000000 1.0000000 1.0000000 1.0000000 #> education 0.5000000 1.0000000 1.0000000 1.0000000 1.0000000 #> grades NaN 1.0000000 1.0000000 1.0000000 1.0000000 #> university 0.0000000 1.0000000 1.0000000 1.0000000 1.0000000 #> teacher 0.0000000 1.0000000 1.0000000 1.0000000 1.0000000 #> problem solving 0.5000000 0.0000000 0.0000000 0.0000000 0.0000000 #> critical thinking 0.7500000 0.0000000 0.0000000 0.0000000 0.0000000 #> innovation 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> coding 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> intelligence agency 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> library 0.5000000 1.0000000 1.0000000 1.0000000 1.0000000 #> study 0.3333333 1.0000000 1.0000000 1.0000000 1.0000000 #> intelligence quotient 0.6666667 0.0000000 0.0000000 0.0000000 0.0000000 #> scholarship 0.2500000 1.0000000 1.0000000 1.0000000 1.0000000 #> academic 0.5000000 1.0000000 1.0000000 1.0000000 1.0000000 #> history 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> linguistics 0.6666667 0.6666667 0.6666667 0.7500000 1.0000000 #> psychology 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> philosophy 0.6666667 0.0000000 0.0000000 0.0000000 0.0000000 #> neuroscience 0.5000000 0.0000000 0.0000000 0.0000000 0.0000000 #> smartwatch NA NA NA NA NA #> artificial intelligence 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> research 0.3333333 1.0000000 0.6666667 0.7500000 0.5000000 #> discoveries 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> inventions 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Mensa 0.3333333 0.0000000 0.0000000 0.0000000 0.0000000 #> trivia 0.0000000 1.0000000 0.8000000 0.8000000 0.5000000 #> quantum physics 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> analytics 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> strategy games NA NA NA NA NA #> smart 0.3333333 0.0000000 0.0000000 0.0000000 0.0000000 #> tests 0.2500000 1.0000000 1.0000000 1.0000000 1.0000000 #> book smart 0.0000000 1.0000000 0.7500000 0.7500000 1.0000000 #> brains 0.6666667 0.0000000 0.0000000 0.0000000 0.0000000 #> wisdom 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Stephen Hawking 0.3333333 0.0000000 0.0000000 0.0000000 0.0000000 #> clever 0.3333333 0.0000000 0.0000000 0.0000000 0.0000000 #> high scores NA NA NA NA NA #> mental NA NA NA NA NA #> intellectuals 0.3333333 0.0000000 0.0000000 0.0000000 0.0000000 #> savvy 0.3333333 0.0000000 0.0000000 0.0000000 0.0000000 #> success 0.7500000 0.0000000 0.2000000 0.1428571 0.3333333 #> nerd NA NA NA NA NA #> thinking 0.3333333 0.0000000 0.0000000 0.0000000 0.0000000 #> comprehension 0.5000000 1.0000000 1.0000000 1.0000000 1.0000000 #> understanding 0.6666667 0.0000000 0.0000000 0.0000000 0.0000000 #> creativity 0.3333333 0.0000000 0.0000000 0.0000000 0.0000000 #> insight 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> mastery NA NA NA NA NA #> scholars 0.2500000 0.6000000 0.6666667 0.6000000 0.0000000 #> expertise 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> intelligence agencies 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> cunning NA NA NA NA NA #> bright NA NA NA NA NA #> aptitude 0.0000000 1.0000000 0.5000000 0.5000000 0.0000000 #> scholarships 0.5000000 1.0000000 1.0000000 1.0000000 1.0000000 #> analysis 0.6666667 0.0000000 0.0000000 0.0000000 0.0000000 #> competition 0.6666667 0.0000000 0.0000000 0.0000000 0.0000000 #> strategy 0.5000000 0.0000000 0.0000000 0.0000000 0.0000000 #> apt brain NA NA NA NA NA #> achievements NA NA NA NA NA #> curiosity 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> observation NA NA NA NA NA #> quick witted 0.5000000 0.0000000 0.0000000 0.0000000 0.0000000 #> informed 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> street smart NA NA NA NA NA #> Smart people 0.0000000 0.3333333 0.0000000 0.3333333 0.5000000 #> Albert Einstein 0.2500000 0.0000000 0.0000000 0.0000000 0.0000000 #> AI 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> professors 0.2500000 1.0000000 1.0000000 1.0000000 NaN #> scientists 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> data 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> computer programming 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> memory 0.2500000 1.0000000 1.0000000 1.0000000 1.0000000 #> spies 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> codes NA NA NA NA NA #> cybersecurity NA NA NA NA NA #> hacking NA NA NA NA NA #> language skills 1.0000000 0.0000000 0.5000000 0.4000000 0.5000000 #> writing 0.0000000 0.5000000 0.0000000 0.0000000 NaN #> debates 1.0000000 0.0000000 0.2000000 0.1666667 0.5000000 #> mathematics NaN NaN 1.0000000 1.0000000 1.0000000 #> Smart 0.0000000 0.2500000 0.0000000 0.1666667 0.3333333 #> Brain 1.0000000 0.3333333 0.0000000 0.2000000 0.3333333 #> Science 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Genius 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> University 0.0000000 1.0000000 1.0000000 1.0000000 NaN #> Knowledge 0.5000000 1.0000000 1.0000000 1.0000000 1.0000000 #> Books 0.0000000 1.0000000 1.0000000 1.0000000 1.0000000 #> Problem solving 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Chess 0.5000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Mathematics 0.5000000 1.0000000 1.0000000 1.0000000 1.0000000 #> Technology 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Inventions NA NA NA NA NA #> Bill Gates 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA NA NA #> Steve Jobs 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Education 0.3333333 1.0000000 1.0000000 1.0000000 1.0000000 #> Grades 0.3333333 1.0000000 1.0000000 1.0000000 1.0000000 #> Diploma 0.0000000 1.0000000 1.0000000 1.0000000 1.0000000 #> Scholarships 0.0000000 1.0000000 1.0000000 1.0000000 NaN #> Logic 0.5000000 0.0000000 0.0000000 0.0000000 NaN #> Analysis 0.0000000 0.6666667 0.2500000 0.5000000 0.6666667 #> university teacher problem solving #> intelligence 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1.0000000 #> grades 0.0000000 1.0000000 1.0000000 #> university 0.0000000 1.0000000 1.0000000 #> teacher 0.0000000 1.0000000 1.0000000 #> problem solving 0.0000000 0.0000000 0.0000000 #> critical thinking 0.0000000 0.0000000 0.0000000 #> innovation 0.4000000 0.0000000 0.0000000 #> coding 0.6666667 0.0000000 0.0000000 #> intelligence agency 1.0000000 0.0000000 0.0000000 #> library 0.0000000 1.0000000 1.0000000 #> study 0.0000000 1.0000000 1.0000000 #> intelligence quotient 0.0000000 0.0000000 0.0000000 #> scholarship 0.0000000 1.0000000 1.0000000 #> academic 0.0000000 1.0000000 1.0000000 #> history 0.7500000 0.0000000 0.0000000 #> linguistics 0.0000000 1.0000000 0.8000000 #> psychology 0.0000000 0.0000000 0.0000000 #> philosophy 0.0000000 0.0000000 0.0000000 #> neuroscience 0.0000000 0.0000000 0.0000000 #> smartwatch NA NA NA #> artificial intelligence 0.2500000 0.0000000 0.0000000 #> research 0.0000000 1.0000000 0.8000000 #> discoveries 1.0000000 0.0000000 0.0000000 #> inventions 0.6000000 0.0000000 0.0000000 #> Mensa 0.0000000 0.0000000 0.0000000 #> trivia 0.0000000 1.0000000 0.8333333 #> quantum physics 1.0000000 0.0000000 0.0000000 #> analytics 0.6000000 0.0000000 0.0000000 #> strategy games NA NA NA #> smart 0.2000000 0.0000000 0.0000000 #> tests 0.0000000 1.0000000 1.0000000 #> book smart 0.0000000 0.5000000 0.7500000 #> brains 0.0000000 0.0000000 0.0000000 #> wisdom 0.0000000 0.0000000 0.0000000 #> Stephen Hawking 0.2000000 0.0000000 0.0000000 #> clever 0.2000000 0.0000000 0.0000000 #> high scores NA NA NA #> mental NA NA NA #> intellectuals 0.0000000 0.0000000 0.0000000 #> savvy 0.2000000 0.0000000 0.0000000 #> success 0.0000000 0.0000000 0.1250000 #> nerd NA NA NA #> thinking 0.0000000 0.0000000 0.0000000 #> comprehension 0.0000000 1.0000000 1.0000000 #> understanding 0.0000000 0.0000000 0.0000000 #> creativity 0.2500000 0.0000000 0.0000000 #> insight 0.0000000 0.0000000 0.0000000 #> mastery NA NA NA #> scholars 0.0000000 0.5000000 0.6666667 #> expertise 0.0000000 0.0000000 0.0000000 #> intelligence agencies 1.0000000 0.0000000 0.0000000 #> cunning NA NA NA #> bright NA NA NA #> aptitude 0.0000000 1.0000000 0.5000000 #> scholarships 0.0000000 1.0000000 1.0000000 #> analysis 0.2500000 0.0000000 0.0000000 #> competition 0.0000000 0.0000000 0.0000000 #> strategy 0.0000000 0.0000000 0.0000000 #> apt brain NA NA NA #> achievements NA NA NA #> curiosity 0.2000000 0.0000000 0.0000000 #> observation NA NA NA #> quick witted 0.0000000 0.0000000 0.0000000 #> informed 0.0000000 0.0000000 0.0000000 #> street smart NA NA NA #> Smart people 0.5000000 0.3333333 0.2500000 #> Albert Einstein 0.2500000 0.0000000 0.0000000 #> AI 0.6666667 0.0000000 0.0000000 #> professors 0.0000000 1.0000000 1.0000000 #> scientists 0.4000000 0.0000000 0.0000000 #> data 0.6000000 0.0000000 0.0000000 #> computer programming 1.0000000 0.0000000 0.0000000 #> memory 0.0000000 1.0000000 1.0000000 #> spies 1.0000000 0.0000000 0.0000000 #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills 0.0000000 0.2500000 0.4000000 #> writing 0.0000000 0.3333333 0.0000000 #> debates 0.0000000 0.0000000 0.1666667 #> mathematics 0.0000000 NaN 1.0000000 #> Smart 0.2000000 0.2500000 0.1428571 #> Brain 0.0000000 0.3333333 0.1666667 #> Science 0.6000000 0.0000000 0.0000000 #> Genius 0.6000000 0.0000000 0.0000000 #> University 0.0000000 1.0000000 1.0000000 #> Knowledge 0.0000000 1.0000000 1.0000000 #> Books 0.0000000 1.0000000 1.0000000 #> Problem solving 0.0000000 0.0000000 0.0000000 #> Chess 0.0000000 0.0000000 0.0000000 #> Mathematics 0.0000000 1.0000000 1.0000000 #> Technology 0.6666667 0.0000000 0.0000000 #> Inventions NA NA NA #> Bill Gates 0.7500000 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA #> Steve Jobs 0.4000000 0.0000000 0.0000000 #> Education 0.0000000 1.0000000 1.0000000 #> Grades 0.0000000 1.0000000 1.0000000 #> Diploma 0.0000000 1.0000000 1.0000000 #> Scholarships 0.0000000 1.0000000 1.0000000 #> Logic 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0.0000000 0.0000000 #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills 0.4000000 0.2500000 0.3333333 #> writing 0.0000000 0.3333333 0.0000000 #> debates 0.6666667 0.0000000 0.0000000 #> mathematics 0.0000000 1.0000000 NaN #> Smart 0.6000000 0.1666667 0.3333333 #> Brain 0.2500000 0.1666667 0.3333333 #> Science 0.0000000 0.0000000 0.0000000 #> Genius 0.0000000 0.0000000 0.0000000 #> University 0.0000000 1.0000000 1.0000000 #> Knowledge 0.0000000 1.0000000 1.0000000 #> Books 0.0000000 1.0000000 1.0000000 #> Problem solving 0.6666667 0.0000000 0.0000000 #> Chess 1.0000000 0.0000000 0.0000000 #> Mathematics 0.0000000 1.0000000 1.0000000 #> Technology 0.0000000 0.0000000 0.0000000 #> Inventions NA NA NA #> Bill Gates 0.0000000 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA #> Steve Jobs 0.0000000 0.0000000 0.0000000 #> Education 0.0000000 1.0000000 1.0000000 #> Grades 0.0000000 1.0000000 1.0000000 #> Diploma 0.0000000 1.0000000 NaN #> Scholarships 0.0000000 1.0000000 1.0000000 #> Logic 1.0000000 0.0000000 0.0000000 #> Analysis 0.0000000 0.2000000 0.3333333 #> history linguistics psychology philosophy #> intelligence 0.0000000 0.2000000 0.5000000 0.8000000 #> Einstein 0.6666667 0.3333333 0.3333333 0.3333333 #> books 0.0000000 0.7500000 0.0000000 0.0000000 #> IQ tests 0.0000000 0.3333333 0.5000000 0.6666667 #> college 0.0000000 1.0000000 0.0000000 0.0000000 #> smart people 1.0000000 NaN 0.0000000 0.0000000 #> brain 0.0000000 0.2500000 1.0000000 0.6666667 #> genius 1.0000000 0.0000000 0.0000000 0.0000000 #> technology 1.0000000 0.0000000 0.0000000 0.0000000 #> science 1.0000000 0.0000000 0.0000000 0.0000000 #> puzzles 0.0000000 0.2000000 0.5000000 0.8000000 #> knowledge 0.0000000 0.6666667 0.2500000 0.5000000 #> learning 0.0000000 0.7500000 0.0000000 0.0000000 #> reading 0.0000000 0.6666667 0.0000000 0.0000000 #> math 0.0000000 1.0000000 0.0000000 0.3333333 #> professor 0.0000000 1.0000000 0.0000000 0.0000000 #> IQ 0.0000000 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0.7500000 1.0000000 #> wisdom 0.0000000 1.0000000 0.6666667 1.0000000 #> Stephen Hawking 0.3333333 0.3333333 0.2500000 0.3333333 #> clever 0.0000000 0.2000000 0.4000000 0.7500000 #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals 0.0000000 0.3333333 0.2500000 0.7500000 #> savvy 0.0000000 0.3333333 0.2000000 0.5000000 #> success 0.1666667 0.2500000 0.6000000 0.4000000 #> nerd NA NA NA NA #> thinking 0.0000000 0.0000000 0.6666667 1.0000000 #> comprehension 0.0000000 1.0000000 0.0000000 0.0000000 #> understanding 0.0000000 0.0000000 1.0000000 0.7500000 #> creativity 0.6000000 0.0000000 0.2000000 0.0000000 #> insight 0.0000000 0.2500000 1.0000000 1.0000000 #> mastery NA NA NA NA #> scholars 0.0000000 0.5000000 0.2500000 0.2000000 #> expertise 0.0000000 0.0000000 0.0000000 0.0000000 #> intelligence agencies 1.0000000 0.0000000 0.0000000 0.0000000 #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude 0.0000000 0.0000000 0.0000000 0.5000000 #> scholarships 0.0000000 1.0000000 0.0000000 0.0000000 #> analysis 0.2500000 0.0000000 0.6666667 0.3333333 #> competition 0.3333333 0.0000000 0.6666667 0.5000000 #> strategy 0.2500000 0.0000000 0.6666667 0.5000000 #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity 0.7500000 0.0000000 0.2500000 0.0000000 #> observation NA NA NA NA #> quick witted 0.0000000 0.2500000 0.5000000 0.7500000 #> informed 0.0000000 0.0000000 0.3333333 1.0000000 #> street smart NA NA NA NA #> Smart people 0.7500000 0.3333333 0.0000000 0.0000000 #> Albert Einstein 0.8000000 0.2500000 0.0000000 0.2500000 #> AI 1.0000000 0.0000000 0.0000000 0.0000000 #> professors 0.0000000 0.6666667 0.0000000 0.0000000 #> scientists 1.0000000 0.0000000 0.0000000 0.0000000 #> data 1.0000000 0.0000000 0.0000000 0.0000000 #> computer programming 1.0000000 0.0000000 0.0000000 0.0000000 #> memory 0.0000000 0.8000000 0.0000000 0.0000000 #> spies 0.7500000 0.0000000 0.0000000 0.0000000 #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking 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1.0000000 0.0000000 0.0000000 #> data 0.2000000 1.0000000 1.0000000 0.0000000 0.0000000 #> computer programming 0.0000000 1.0000000 1.0000000 0.0000000 0.0000000 #> memory 1.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> spies 0.0000000 1.0000000 0.6000000 0.0000000 0.0000000 #> codes NA NA NA NA NA #> cybersecurity NA NA NA NA NA #> hacking NA NA NA NA NA #> language skills 0.2500000 0.0000000 0.0000000 0.0000000 0.0000000 #> writing 0.3333333 0.3333333 0.6666667 0.0000000 0.0000000 #> debates 0.0000000 0.0000000 0.0000000 0.6666667 0.0000000 #> mathematics 0.5000000 0.0000000 NaN 0.0000000 0.5000000 #> Smart 0.1666667 0.0000000 0.0000000 0.8000000 0.2000000 #> Brain 0.2000000 0.0000000 0.0000000 0.6000000 0.0000000 #> Science 0.2500000 1.0000000 1.0000000 0.0000000 0.0000000 #> Genius 0.2500000 1.0000000 1.0000000 0.0000000 0.0000000 #> University 1.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> Knowledge 1.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> Books 1.0000000 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1.0000000 NA 0.0000000 #> Mensa 0.0000000 0.0000000 NA 0.8000000 #> trivia 0.0000000 0.0000000 NA 0.2000000 #> quantum physics 1.0000000 1.0000000 NA 0.0000000 #> analytics 1.0000000 1.0000000 NA 0.0000000 #> strategy games NA NA 1 NA #> smart 0.0000000 0.0000000 NA 1.0000000 #> tests 0.0000000 0.0000000 NA 0.0000000 #> book smart 0.0000000 0.0000000 NA 0.2000000 #> brains 0.0000000 0.0000000 NA 0.6666667 #> wisdom 0.0000000 0.0000000 NA 0.6000000 #> Stephen Hawking 1.0000000 0.6666667 NA 0.1428571 #> clever 0.0000000 0.0000000 NA 1.0000000 #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals 0.0000000 0.0000000 NA 1.0000000 #> savvy 0.0000000 0.0000000 NA 1.0000000 #> success 0.0000000 0.0000000 NA 0.3333333 #> nerd NA NA NA NA #> thinking 0.0000000 0.0000000 NA 0.7500000 #> comprehension 0.0000000 0.0000000 NA 0.0000000 #> understanding 0.0000000 0.0000000 NA 0.2000000 #> creativity 0.5000000 0.8000000 NA 0.0000000 #> insight 0.0000000 0.0000000 NA 0.6000000 #> mastery 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1.0000000 0.0000000 0.0000000 #> math 0.8000000 0.5000000 0.2500000 0.2500000 #> professor 1.0000000 0.7500000 0.0000000 0.0000000 #> IQ 0.0000000 0.2500000 0.8000000 0.5000000 #> chess 0.0000000 0.0000000 1.0000000 0.6000000 #> logic 0.0000000 0.2500000 1.0000000 0.7500000 #> debate 0.2500000 0.0000000 0.6666667 1.0000000 #> computer 1.0000000 1.0000000 0.0000000 0.0000000 #> school 1.0000000 0.7500000 0.0000000 0.0000000 #> education 1.0000000 0.7500000 0.0000000 0.0000000 #> grades 1.0000000 1.0000000 0.0000000 0.0000000 #> university 1.0000000 0.6666667 0.0000000 0.0000000 #> teacher 1.0000000 0.6666667 0.0000000 0.0000000 #> problem solving 0.0000000 0.0000000 0.5000000 0.6666667 #> critical thinking 0.0000000 0.2000000 1.0000000 1.0000000 #> innovation 0.0000000 0.0000000 0.0000000 0.0000000 #> coding 0.0000000 0.0000000 0.0000000 0.0000000 #> intelligence agency 0.0000000 0.0000000 0.0000000 0.0000000 #> library 1.0000000 0.5000000 0.0000000 0.0000000 #> study 1.0000000 0.7500000 0.0000000 0.0000000 #> intelligence quotient 0.0000000 0.0000000 1.0000000 0.5000000 #> scholarship 1.0000000 0.8000000 0.0000000 0.0000000 #> academic 1.0000000 0.6666667 0.0000000 0.0000000 #> history 0.0000000 0.0000000 0.0000000 0.0000000 #> linguistics 0.8000000 0.5000000 0.2500000 1.0000000 #> psychology 0.0000000 0.0000000 0.7500000 0.6666667 #> philosophy 0.0000000 0.0000000 1.0000000 1.0000000 #> neuroscience 0.0000000 0.2500000 0.8000000 0.8000000 #> smartwatch NA NA NA NA #> artificial intelligence 0.0000000 0.0000000 0.0000000 0.0000000 #> research 1.0000000 1.0000000 0.0000000 0.0000000 #> discoveries 0.0000000 0.0000000 0.0000000 0.0000000 #> inventions 0.0000000 0.0000000 0.0000000 0.0000000 #> Mensa 0.0000000 0.3333333 1.0000000 0.6666667 #> trivia 1.0000000 1.0000000 0.2000000 0.2500000 #> quantum physics 0.0000000 0.0000000 0.0000000 0.0000000 #> analytics 0.0000000 0.0000000 0.0000000 0.0000000 #> strategy games NA NA NA NA #> smart 0.0000000 0.2000000 0.6666667 0.6000000 #> tests 1.0000000 1.0000000 0.0000000 0.0000000 #> book smart 1.0000000 1.0000000 0.2500000 0.2500000 #> brains 0.0000000 0.2500000 1.0000000 1.0000000 #> wisdom 0.0000000 0.2500000 1.0000000 1.0000000 #> Stephen Hawking 0.0000000 0.0000000 0.3333333 0.4000000 #> clever 0.0000000 0.2500000 0.7142857 0.7500000 #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals 0.0000000 0.2000000 0.8333333 0.5000000 #> savvy 0.0000000 0.2000000 0.6666667 0.5000000 #> success 0.1428571 0.5000000 0.5000000 0.5000000 #> nerd NA NA NA NA #> thinking 0.0000000 0.0000000 1.0000000 0.5000000 #> comprehension 1.0000000 1.0000000 0.0000000 0.0000000 #> understanding 0.0000000 0.3333333 0.8000000 0.8000000 #> creativity 0.0000000 0.0000000 0.0000000 0.2500000 #> insight 0.0000000 0.2500000 1.0000000 1.0000000 #> mastery NA NA NA NA #> scholars 0.6666667 0.5000000 0.2500000 0.2500000 #> expertise 0.0000000 0.3333333 0.3333333 0.3333333 #> intelligence agencies 0.0000000 0.0000000 0.0000000 0.0000000 #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude 0.5000000 0.3333333 0.2500000 0.3333333 #> scholarships 1.0000000 0.7500000 0.0000000 0.0000000 #> analysis 0.0000000 0.2500000 0.7500000 0.6000000 #> competition 0.0000000 0.5000000 0.5000000 0.7500000 #> strategy 0.0000000 0.3333333 0.5000000 0.7500000 #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity 0.0000000 0.0000000 0.2000000 0.2500000 #> observation NA NA NA NA #> quick witted 0.0000000 0.3333333 1.0000000 0.7500000 #> informed 0.0000000 0.2500000 0.8000000 0.5000000 #> street smart NA NA NA NA #> Smart people 0.2000000 0.0000000 0.0000000 0.0000000 #> Albert Einstein 0.0000000 0.0000000 0.2500000 0.2500000 #> AI 0.0000000 0.0000000 0.0000000 0.0000000 #> professors 1.0000000 1.0000000 0.0000000 0.0000000 #> scientists 0.0000000 0.0000000 0.0000000 0.0000000 #> data 0.0000000 0.0000000 0.0000000 0.0000000 #> computer programming 0.0000000 0.0000000 0.0000000 0.0000000 #> 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0.0000000 0.0 #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills 1.0000000 0.0000000 0.6666667 1.0 #> writing 0.0000000 1.0000000 0.0000000 0.0 #> debates 0.6666667 0.0000000 1.0000000 0.5 #> mathematics 1.0000000 0.0000000 0.5000000 1.0 #> Smart 0.0000000 0.0000000 0.5000000 0.0 #> Brain 0.3333333 0.0000000 0.7500000 0.0 #> Science 0.0000000 0.5000000 0.0000000 0.0 #> Genius 0.0000000 0.5000000 0.0000000 0.0 #> University 0.0000000 0.3333333 0.0000000 1.0 #> Knowledge 1.0000000 0.0000000 0.0000000 1.0 #> Books 0.0000000 0.5000000 0.0000000 NaN #> Problem solving 1.0000000 0.0000000 1.0000000 NaN #> Chess 0.4000000 0.0000000 0.8000000 0.0 #> Mathematics 1.0000000 0.0000000 0.0000000 1.0 #> Technology 0.0000000 0.3333333 0.0000000 0.0 #> Inventions NA NA NA NA #> Bill Gates 0.0000000 0.0000000 0.0000000 0.0 #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs 0.0000000 0.6666667 0.0000000 0.0 #> Education 0.4000000 0.0000000 0.2000000 1.0 #> Grades 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0.5000000 #> learning 0.2000000 0.2000000 0.0000000 0.0000000 1.0000000 #> reading 0.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> math 0.0000000 0.0000000 0.0000000 0.0000000 0.8333333 #> professor 0.1428571 0.1666667 0.0000000 0.0000000 1.0000000 #> IQ 0.7500000 0.5000000 0.0000000 0.0000000 0.0000000 #> chess 0.6250000 0.5000000 0.0000000 0.0000000 0.0000000 #> logic 0.3333333 0.8333333 0.0000000 0.0000000 0.0000000 #> debate 0.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> computer 0.2500000 0.3333333 0.0000000 0.0000000 1.0000000 #> school 0.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> education 0.1666667 0.2000000 0.0000000 0.0000000 1.0000000 #> grades 0.3333333 0.3333333 0.0000000 0.0000000 NaN #> university 0.2000000 0.2000000 0.0000000 0.0000000 1.0000000 #> teacher 0.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> problem solving 0.2000000 0.0000000 0.2500000 0.2500000 0.0000000 #> critical thinking 0.3333333 0.8333333 0.0000000 0.0000000 0.0000000 #> innovation 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> coding 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> intelligence agency 0.2000000 0.0000000 0.6000000 0.6000000 0.0000000 #> library 0.2500000 0.3333333 0.0000000 0.0000000 1.0000000 #> study 0.1428571 0.1666667 0.0000000 0.0000000 1.0000000 #> intelligence quotient 0.6000000 0.2500000 0.0000000 0.0000000 0.0000000 #> scholarship 0.1666667 0.1666667 0.0000000 0.0000000 1.0000000 #> academic 0.3333333 0.3333333 0.0000000 0.0000000 1.0000000 #> history 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> linguistics 0.2500000 0.3333333 0.0000000 0.0000000 0.6666667 #> psychology 0.1666667 0.8000000 0.0000000 0.0000000 0.0000000 #> philosophy 0.5000000 0.5000000 0.0000000 0.0000000 0.0000000 #> neuroscience 0.3333333 1.0000000 0.0000000 0.0000000 0.0000000 #> smartwatch NA NA NA NA NA #> artificial intelligence 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> research 0.1666667 0.2000000 0.2500000 0.2500000 1.0000000 #> discoveries 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> inventions 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> Mensa 0.8000000 0.6000000 0.0000000 0.0000000 0.0000000 #> trivia 0.2000000 0.0000000 0.0000000 0.0000000 1.0000000 #> quantum physics 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> analytics 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> strategy games NA NA NA NA NA #> smart 1.0000000 0.3333333 0.0000000 0.0000000 0.0000000 #> tests 0.1428571 0.2000000 0.0000000 0.0000000 1.0000000 #> book smart 0.0000000 0.2500000 0.0000000 0.0000000 0.7500000 #> brains 0.6000000 0.8000000 0.0000000 0.0000000 0.0000000 #> wisdom 0.2500000 0.7500000 0.0000000 0.0000000 0.0000000 #> Stephen Hawking 0.0000000 0.1666667 0.6000000 0.6666667 0.0000000 #> clever 0.8333333 0.3333333 0.0000000 0.0000000 0.0000000 #> high scores NA NA NA NA NA #> mental NA NA NA NA NA #> intellectuals 1.0000000 0.4000000 0.0000000 0.0000000 0.0000000 #> savvy 1.0000000 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0.5000000 0.4000000 0.1666667 0.0000000 #> apt brain NA NA NA NA NA #> achievements NA NA NA NA NA #> curiosity 0.0000000 0.1666667 0.8333333 0.8333333 0.0000000 #> observation NA NA NA NA NA #> quick witted 0.8000000 0.5000000 0.0000000 0.0000000 0.0000000 #> informed 1.0000000 0.4000000 0.0000000 0.0000000 0.0000000 #> street smart NA NA NA NA NA #> Smart people 0.2000000 0.2500000 0.7500000 0.7500000 0.0000000 #> Albert Einstein 0.0000000 0.0000000 0.8000000 0.8333333 0.0000000 #> AI 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> professors 0.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> scientists 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> data 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> computer programming 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> memory 0.1428571 0.2000000 0.0000000 0.0000000 1.0000000 #> spies 0.1666667 0.0000000 0.5000000 0.6000000 0.0000000 #> codes NA NA NA NA NA #> cybersecurity NA NA NA NA NA #> hacking NA NA NA NA NA #> language skills 0.0000000 0.3333333 0.0000000 0.0000000 0.0000000 #> writing 0.0000000 0.0000000 0.5000000 0.5000000 0.3333333 #> debates 0.5000000 0.7500000 0.0000000 0.0000000 0.0000000 #> mathematics 0.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> Smart 1.0000000 0.3333333 0.0000000 0.0000000 0.0000000 #> Brain 0.3333333 1.0000000 0.0000000 0.0000000 0.0000000 #> Science 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> Genius 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> University 0.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> Knowledge 0.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> Books 0.2500000 0.2500000 0.0000000 0.0000000 1.0000000 #> Problem solving 0.0000000 0.7500000 0.0000000 0.0000000 0.0000000 #> Chess 0.8000000 0.4000000 0.0000000 0.0000000 0.0000000 #> Mathematics 0.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> Technology 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> Inventions NA NA NA NA NA #> Bill Gates 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA NA NA #> Steve Jobs 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> Education 0.1666667 0.2000000 0.0000000 0.0000000 1.0000000 #> Grades 0.1666667 0.2000000 0.0000000 0.0000000 1.0000000 #> Diploma 0.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> Scholarships 0.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> Logic 0.7500000 1.0000000 0.0000000 0.0000000 0.0000000 #> Analysis 0.1666667 0.3333333 0.2000000 0.1666667 0.2500000 #> Knowledge Books Problem solving Chess #> intelligence 0.0000000 0.0000000 0.5000000 1.0000000 #> Einstein 0.0000000 0.0000000 0.3333333 0.2500000 #> books 1.0000000 1.0000000 0.0000000 0.0000000 #> IQ tests 0.0000000 0.0000000 0.3333333 1.0000000 #> college 1.0000000 1.0000000 0.0000000 0.0000000 #> smart people 0.0000000 0.0000000 0.0000000 0.0000000 #> brain 0.0000000 0.0000000 1.0000000 0.6666667 #> genius 0.0000000 0.0000000 0.0000000 0.0000000 #> technology 0.0000000 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0.3333333 #> computer NA 0.0000000 1.0000000 1.0000000 #> school NA 0.0000000 1.0000000 1.0000000 #> education NA 0.0000000 1.0000000 1.0000000 #> grades NA 0.0000000 1.0000000 1.0000000 #> university NA 0.0000000 1.0000000 1.0000000 #> teacher NA 0.0000000 1.0000000 1.0000000 #> problem solving NA 0.1666667 0.0000000 0.0000000 #> critical thinking NA 0.0000000 0.0000000 0.0000000 #> innovation NA 1.0000000 0.0000000 0.0000000 #> coding NA 1.0000000 0.0000000 0.0000000 #> intelligence agency NA 0.4000000 0.0000000 0.0000000 #> library NA 0.0000000 1.0000000 1.0000000 #> study NA 0.0000000 1.0000000 1.0000000 #> intelligence quotient NA 0.0000000 0.0000000 0.0000000 #> scholarship NA 0.0000000 1.0000000 1.0000000 #> academic NA 0.0000000 1.0000000 1.0000000 #> history NA 1.0000000 0.0000000 0.0000000 #> linguistics NA 0.0000000 0.8000000 1.0000000 #> psychology NA 0.0000000 0.0000000 0.0000000 #> philosophy NA 0.0000000 0.0000000 0.0000000 #> neuroscience NA 0.0000000 0.0000000 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0.0000000 0.0000000 0.0000000 0.2857143 #> coding 0.0000000 0.0000000 0.0000000 0.5000000 #> intelligence agency 0.0000000 0.0000000 0.0000000 0.3333333 #> library 1.0000000 1.0000000 0.0000000 0.5000000 #> study 1.0000000 1.0000000 0.0000000 0.5000000 #> intelligence quotient 0.0000000 0.0000000 1.0000000 0.0000000 #> scholarship 1.0000000 1.0000000 0.0000000 0.2000000 #> academic NaN 1.0000000 0.0000000 0.3333333 #> history 0.0000000 0.0000000 0.0000000 0.2500000 #> linguistics 1.0000000 0.6666667 0.0000000 0.5000000 #> psychology 0.0000000 0.0000000 0.6666667 0.2000000 #> philosophy 0.0000000 0.0000000 0.6666667 0.0000000 #> neuroscience 0.0000000 0.0000000 0.7500000 0.1666667 #> smartwatch NA NA NA NA #> artificial intelligence 0.0000000 0.0000000 0.0000000 0.0000000 #> research 0.6666667 1.0000000 0.0000000 0.2500000 #> discoveries 0.0000000 0.0000000 0.0000000 0.3333333 #> inventions 0.0000000 0.0000000 0.0000000 0.2500000 #> Mensa 0.0000000 0.0000000 1.0000000 0.0000000 #> trivia 0.6666667 1.0000000 0.0000000 0.2500000 #> quantum physics 0.0000000 0.0000000 0.0000000 0.2500000 #> analytics 0.0000000 0.0000000 0.0000000 0.4000000 #> strategy games NA NA NA NA #> smart 0.0000000 0.0000000 0.6666667 0.0000000 #> tests 1.0000000 1.0000000 0.0000000 0.4000000 #> book smart 1.0000000 0.6666667 0.5000000 0.0000000 #> brains 0.0000000 0.0000000 1.0000000 0.2500000 #> wisdom 0.0000000 0.0000000 0.5000000 0.2000000 #> Stephen Hawking 0.0000000 0.0000000 0.0000000 0.6000000 #> clever 0.0000000 0.0000000 0.7500000 0.0000000 #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals 0.0000000 0.0000000 1.0000000 0.0000000 #> savvy 0.0000000 0.0000000 0.7500000 0.0000000 #> success 0.0000000 0.0000000 0.7500000 0.0000000 #> nerd NA NA NA NA #> thinking 0.0000000 0.0000000 1.0000000 0.0000000 #> comprehension 1.0000000 1.0000000 0.0000000 0.5000000 #> understanding 0.0000000 0.0000000 0.7500000 0.1666667 #> creativity 0.0000000 0.0000000 0.0000000 0.1666667 #> insight 0.0000000 0.0000000 0.7500000 0.0000000 #> mastery NA NA NA NA #> scholars 0.3333333 1.0000000 0.0000000 0.2500000 #> expertise 0.0000000 0.0000000 0.5000000 0.2500000 #> intelligence agencies 0.0000000 0.0000000 0.0000000 0.0000000 #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude 0.0000000 0.6666667 0.0000000 0.0000000 #> scholarships 1.0000000 1.0000000 0.0000000 0.3333333 #> analysis 0.0000000 0.0000000 1.0000000 0.2500000 #> competition 0.0000000 0.0000000 0.5000000 0.0000000 #> strategy 0.0000000 0.0000000 0.4000000 0.1666667 #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity 0.0000000 0.0000000 0.0000000 0.4000000 #> observation NA NA NA NA #> quick witted 0.0000000 0.0000000 1.0000000 0.0000000 #> informed 0.0000000 0.0000000 1.0000000 0.0000000 #> street smart NA NA NA NA #> Smart people 0.0000000 0.0000000 0.0000000 0.6666667 #> Albert Einstein 0.0000000 0.0000000 0.0000000 0.2500000 #> AI 0.0000000 0.0000000 0.0000000 0.2500000 #> professors 1.0000000 1.0000000 0.0000000 0.5000000 #> scientists 0.0000000 0.0000000 0.0000000 0.0000000 #> data 0.0000000 0.0000000 0.0000000 0.2857143 #> computer programming 0.0000000 0.0000000 0.0000000 0.3333333 #> memory 1.0000000 1.0000000 0.0000000 0.4000000 #> spies 0.0000000 0.0000000 0.0000000 0.2500000 #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills 0.3333333 0.0000000 0.0000000 0.2500000 #> writing 0.3333333 0.0000000 0.0000000 0.0000000 #> debates 0.3333333 0.0000000 1.0000000 0.4000000 #> mathematics 1.0000000 1.0000000 0.0000000 0.5000000 #> Smart 0.0000000 0.0000000 0.7500000 0.1666667 #> Brain 0.0000000 0.0000000 1.0000000 0.3333333 #> Science 0.0000000 0.0000000 0.0000000 0.2000000 #> Genius 0.0000000 0.0000000 0.0000000 0.1666667 #> University 1.0000000 1.0000000 0.0000000 0.2500000 #> Knowledge 1.0000000 1.0000000 0.0000000 0.0000000 #> Books 1.0000000 1.0000000 0.0000000 0.5000000 #> Problem solving 0.0000000 0.0000000 1.0000000 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1.0000000 #> smart people 1.0000000 1.0000000 0.3333333 0.0000000 0.0000000 #> brain 0.5000000 0.0000000 0.5000000 0.0000000 0.0000000 #> genius 0.3333333 1.0000000 0.0000000 0.0000000 0.0000000 #> technology 0.5000000 1.0000000 0.3333333 0.0000000 0.0000000 #> science 0.8000000 1.0000000 0.4000000 0.0000000 0.0000000 #> puzzles 0.3333333 0.0000000 0.4285714 0.0000000 0.0000000 #> knowledge 0.0000000 0.0000000 0.0000000 0.5000000 0.5000000 #> learning 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> reading 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> math 0.2000000 0.0000000 0.2000000 1.0000000 1.0000000 #> professor 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> IQ 0.2500000 0.0000000 0.5000000 0.0000000 0.0000000 #> chess 0.1666667 0.0000000 0.1666667 0.0000000 0.0000000 #> logic 0.2500000 0.0000000 0.5000000 0.0000000 0.0000000 #> debate 0.5000000 0.0000000 0.6666667 NaN 0.5000000 #> computer 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> school 0.0000000 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1.0000000 1.0000000 #> Chess 0.0000000 NA NA 0.4000000 0.8000000 #> Mathematics 0.0000000 NA NA 0.0000000 0.0000000 #> Technology 1.0000000 NA NA 0.0000000 0.0000000 #> Inventions NA NA NA NA NA #> Bill Gates 1.0000000 NA NA 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA NA NA #> Steve Jobs 1.0000000 NA NA 0.1428571 0.0000000 #> Education 0.0000000 NA NA 0.0000000 0.0000000 #> Grades 0.0000000 NA NA 0.0000000 0.0000000 #> Diploma 0.0000000 NA NA 0.0000000 0.0000000 #> Scholarships 0.0000000 NA NA 0.0000000 0.0000000 #> Logic 0.0000000 NA NA 0.5000000 1.0000000 #> Analysis 0.3333333 NA NA 0.2000000 0.1666667 #> inventiveness breakthroughs Scientist Test Clever #> intelligence 0.0000000 0.0000000 0.0000000 NA 1.0000000 #> Einstein 0.5000000 0.7500000 0.6000000 NA 0.2500000 #> books 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> IQ tests 0.0000000 0.0000000 0.0000000 NA 1.0000000 #> college 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> smart people 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> brain 0.0000000 0.0000000 0.0000000 NA 0.4000000 #> genius 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> technology 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> science 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> puzzles 0.0000000 0.0000000 0.0000000 NA 0.8000000 #> knowledge 0.0000000 0.0000000 0.0000000 NA 0.7500000 #> learning 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> reading 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> math 0.0000000 0.0000000 0.0000000 NA 0.5000000 #> professor 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> IQ 0.0000000 0.0000000 0.0000000 NA 1.0000000 #> chess 0.0000000 0.0000000 0.0000000 NA 0.8000000 #> logic 0.0000000 0.0000000 0.0000000 NA 0.3333333 #> debate 0.0000000 0.0000000 0.0000000 NA 0.5000000 #> computer 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> school 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> education 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> grades 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> university 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> teacher 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> problem solving 0.2500000 0.3333333 0.2000000 NA 0.6666667 #> critical thinking 0.0000000 0.0000000 0.0000000 NA 0.5000000 #> innovation 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> coding 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> intelligence agency 0.6000000 0.6666667 0.5000000 NA 0.0000000 #> library 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> study 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> intelligence quotient 0.0000000 0.0000000 0.0000000 NA 1.0000000 #> scholarship 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> academic 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> history 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> linguistics 0.0000000 0.0000000 0.0000000 NA 0.5000000 #> psychology 0.0000000 0.0000000 0.0000000 NA 0.3333333 #> philosophy 0.0000000 0.0000000 0.0000000 NA 1.0000000 #> neuroscience 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> smartwatch NA NA NA NA NA #> 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NA #> curiosity 0.8000000 0.8000000 0.8571429 NA 0.0000000 #> observation NA NA NA NA NA #> quick witted 0.0000000 0.0000000 0.0000000 NA 1.0000000 #> informed 0.0000000 0.0000000 0.0000000 NA 1.0000000 #> street smart NA NA NA NA NA #> Smart people 1.0000000 0.6666667 0.8000000 NA 0.0000000 #> Albert Einstein 0.8000000 1.0000000 0.8333333 NA 0.3333333 #> AI 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> professors 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> scientists 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> data 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> computer programming 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> memory 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> spies 0.5000000 0.7500000 0.4000000 NA 0.0000000 #> codes NA NA NA NA NA #> cybersecurity NA NA NA NA NA #> hacking NA NA NA NA NA #> language skills 0.0000000 0.0000000 0.0000000 NA 0.5000000 #> writing 0.3333333 0.5000000 0.3333333 NA 0.0000000 #> debates 0.0000000 0.0000000 0.0000000 NA 0.3333333 #> mathematics 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> Smart 0.0000000 0.0000000 0.0000000 NA 0.7500000 #> Brain 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> Science 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> Genius 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> University 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> Knowledge 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> Books 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> Problem solving 0.0000000 0.0000000 0.0000000 NA 0.3333333 #> Chess 0.0000000 0.0000000 0.0000000 NA 1.0000000 #> Mathematics 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> Technology 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> Inventions NA NA NA NA NA #> Bill Gates 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> Neil deGrasse Tyson NA NA NA NA NA #> Steve Jobs 1.0000000 1.0000000 1.0000000 NA 0.0000000 #> Education 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> Grades 0.0000000 0.0000000 0.0000000 NA 0.0000000 #> Diploma 0.0000000 0.0000000 0.0000000 NA 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NA 0.0000000 #> computer programming 0.0000000 0.5000000 NA 0.0000000 #> memory 0.0000000 0.3333333 NA 1.0000000 #> spies 0.0000000 0.2500000 NA 0.0000000 #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills 0.8000000 0.2000000 NA 0.5000000 #> writing 0.0000000 0.2500000 NA 0.0000000 #> debates 0.6000000 0.3333333 NA 0.3333333 #> mathematics 0.0000000 0.0000000 NA 1.0000000 #> Smart 0.1666667 0.2000000 NA 0.0000000 #> Brain 0.6000000 0.3333333 NA 0.0000000 #> Science 0.2000000 0.5000000 NA 0.0000000 #> Genius 0.1666667 0.2500000 NA 0.0000000 #> University 0.0000000 0.2500000 NA 1.0000000 #> Knowledge 0.0000000 0.0000000 NA 1.0000000 #> Books 0.0000000 0.6666667 NA 1.0000000 #> Problem solving 1.0000000 0.0000000 NA NaN #> Chess 0.5000000 0.2000000 NA 0.0000000 #> Mathematics 0.0000000 0.0000000 NA 1.0000000 #> Technology 0.1666667 0.4000000 NA 0.0000000 #> Inventions NA NA NA NA #> Bill Gates 0.0000000 0.5000000 NA 0.0000000 #> Neil deGrasse Tyson 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#> trivia 0.0000000 0.0000000 1.0000000 #> quantum physics 0.0000000 0.0000000 0.0000000 #> analytics 0.0000000 0.0000000 0.0000000 #> strategy games NA NA NA #> smart 1.0000000 0.7500000 0.0000000 #> tests 0.0000000 0.0000000 1.0000000 #> book smart 0.0000000 0.0000000 0.7500000 #> brains 1.0000000 0.5000000 0.0000000 #> wisdom 1.0000000 0.3333333 0.0000000 #> Stephen Hawking 0.5000000 0.2500000 0.0000000 #> clever 1.0000000 0.8000000 0.0000000 #> high scores NA NA NA #> mental NA NA NA #> intellectuals 1.0000000 0.7500000 0.0000000 #> savvy 1.0000000 0.7500000 0.0000000 #> success 0.6666667 0.7500000 0.2000000 #> nerd NA NA NA #> thinking 1.0000000 0.5000000 0.0000000 #> comprehension 0.0000000 0.0000000 1.0000000 #> understanding 1.0000000 0.6666667 0.0000000 #> creativity 0.3333333 0.3333333 0.0000000 #> insight 1.0000000 1.0000000 0.0000000 #> mastery NA NA NA #> scholars 0.3333333 0.3333333 0.6666667 #> expertise 0.0000000 0.0000000 0.0000000 #> intelligence agencies 0.0000000 0.0000000 NaN #> cunning NA NA NA #> bright NA NA NA #> aptitude 0.0000000 0.0000000 0.5000000 #> scholarships 0.0000000 0.0000000 1.0000000 #> analysis 0.0000000 0.0000000 0.0000000 #> competition 0.0000000 0.0000000 0.0000000 #> strategy 0.3333333 0.2500000 0.0000000 #> apt brain NA NA NA #> achievements NA NA NA #> curiosity 0.0000000 0.0000000 0.0000000 #> observation NA NA NA #> quick witted 1.0000000 0.7500000 0.0000000 #> informed 1.0000000 0.6666667 0.0000000 #> street smart NA NA NA #> Smart people 0.0000000 0.0000000 0.0000000 #> Albert Einstein 0.3333333 0.5000000 0.0000000 #> AI 0.0000000 0.0000000 0.0000000 #> professors 0.0000000 0.0000000 1.0000000 #> scientists 0.0000000 0.0000000 0.0000000 #> data 0.0000000 0.0000000 0.0000000 #> computer programming 0.0000000 0.0000000 0.0000000 #> memory 0.0000000 0.0000000 1.0000000 #> spies 0.0000000 0.0000000 0.0000000 #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills 0.6666667 0.6666667 0.5000000 #> writing 0.0000000 0.0000000 0.3333333 #> debates 1.0000000 0.5000000 0.0000000 #> mathematics 0.0000000 0.0000000 1.0000000 #> Smart 0.6666667 0.5000000 0.0000000 #> Brain 0.5000000 0.5000000 0.0000000 #> Science 0.0000000 0.0000000 0.0000000 #> Genius 0.0000000 0.0000000 0.0000000 #> University 0.0000000 0.0000000 1.0000000 #> Knowledge 0.0000000 0.0000000 1.0000000 #> Books 0.0000000 0.0000000 1.0000000 #> Problem solving 1.0000000 0.5000000 0.0000000 #> Chess 1.0000000 0.7500000 0.0000000 #> Mathematics 0.0000000 0.0000000 1.0000000 #> Technology 0.0000000 0.0000000 0.0000000 #> Inventions NA NA NA #> Bill Gates 0.0000000 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA #> Steve Jobs 0.0000000 0.0000000 0.0000000 #> Education 0.0000000 0.0000000 1.0000000 #> Grades 0.0000000 0.0000000 1.0000000 #> Diploma 0.0000000 0.0000000 1.0000000 #> Scholarships 0.0000000 0.0000000 1.0000000 #> Logic 1.0000000 1.0000000 0.0000000 #> Analysis 0.0000000 0.0000000 0.0000000 #> peer review 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0.0000000 0.5000000 0.2500000 #> genius 1.0000000 0.0000000 0.0000000 #> technology 1.0000000 0.0000000 0.0000000 #> science 1.0000000 0.0000000 0.0000000 #> puzzles 0.0000000 1.0000000 0.2000000 #> knowledge 0.0000000 0.5000000 0.3333333 #> learning 0.0000000 0.0000000 0.7500000 #> reading 0.0000000 0.0000000 0.3333333 #> math 0.0000000 0.0000000 0.5000000 #> professor 0.0000000 0.0000000 0.6666667 #> IQ 0.0000000 1.0000000 0.5000000 #> chess 0.0000000 0.8000000 0.2000000 #> logic 0.0000000 0.6666667 0.0000000 #> debate 0.0000000 0.5000000 1.0000000 #> computer 0.0000000 0.0000000 0.3333333 #> school 0.0000000 0.0000000 0.5000000 #> education 0.0000000 0.0000000 0.6000000 #> grades 0.0000000 0.0000000 1.0000000 #> university 0.0000000 0.0000000 0.5000000 #> teacher 0.0000000 0.0000000 1.0000000 #> problem solving 0.0000000 0.6666667 0.4000000 #> critical thinking 0.0000000 0.7500000 0.3333333 #> innovation 1.0000000 0.0000000 0.0000000 #> coding 1.0000000 0.0000000 0.0000000 #> intelligence agency 0.0000000 0.0000000 0.0000000 #> library 0.0000000 0.0000000 0.6666667 #> study 0.0000000 0.0000000 0.6000000 #> intelligence quotient 0.0000000 1.0000000 0.2500000 #> scholarship 0.0000000 0.0000000 0.6666667 #> academic 0.0000000 0.0000000 0.6666667 #> history 1.0000000 0.0000000 0.0000000 #> linguistics 0.0000000 0.0000000 1.0000000 #> psychology 0.0000000 0.5000000 0.3333333 #> philosophy 0.0000000 1.0000000 0.5000000 #> neuroscience 0.0000000 0.3333333 0.3333333 #> smartwatch NA NA NA #> artificial intelligence 1.0000000 0.0000000 0.0000000 #> research 0.0000000 0.0000000 0.6666667 #> discoveries 1.0000000 0.0000000 0.0000000 #> inventions 1.0000000 0.0000000 0.0000000 #> Mensa 0.0000000 1.0000000 0.0000000 #> trivia 0.0000000 0.3333333 0.0000000 #> quantum physics 1.0000000 0.0000000 0.0000000 #> analytics 1.0000000 0.0000000 0.0000000 #> strategy games NA NA NA #> smart 0.0000000 0.6666667 0.5000000 #> tests 0.0000000 0.0000000 0.5000000 #> book smart 0.0000000 0.0000000 0.0000000 #> brains 0.0000000 0.7500000 0.3333333 #> wisdom 0.0000000 0.5000000 0.6666667 #> Stephen Hawking 1.0000000 0.0000000 0.5000000 #> clever 0.0000000 0.8000000 0.2500000 #> high scores NA NA NA #> mental NA NA NA #> intellectuals 0.0000000 1.0000000 0.2500000 #> savvy 0.0000000 0.6666667 0.3333333 #> success 0.0000000 0.4000000 0.2000000 #> nerd NA NA NA #> thinking 0.0000000 1.0000000 0.0000000 #> comprehension 0.0000000 0.0000000 1.0000000 #> understanding 0.0000000 0.6000000 0.2500000 #> creativity 0.8000000 0.2500000 0.0000000 #> insight 0.0000000 1.0000000 0.6666667 #> mastery NA NA NA #> scholars 0.0000000 0.5000000 0.2000000 #> expertise 0.5000000 0.0000000 0.0000000 #> intelligence agencies 1.0000000 0.0000000 0.0000000 #> cunning NA NA NA #> bright NA NA NA #> aptitude 0.0000000 1.0000000 0.0000000 #> scholarships 0.0000000 0.0000000 0.6666667 #> analysis 0.0000000 0.5000000 0.0000000 #> competition 0.0000000 0.3333333 0.3333333 #> strategy 0.0000000 0.4000000 0.2500000 #> apt brain NA NA NA #> achievements NA NA NA #> curiosity 1.0000000 0.0000000 0.0000000 #> observation NA NA NA #> quick witted 0.0000000 1.0000000 0.2000000 #> informed 0.0000000 1.0000000 0.0000000 #> street smart NA NA NA #> Smart people 0.5000000 0.0000000 0.5000000 #> Albert Einstein 1.0000000 0.0000000 0.2500000 #> AI 1.0000000 0.0000000 0.0000000 #> professors 0.0000000 0.0000000 0.3333333 #> scientists 1.0000000 0.0000000 0.0000000 #> data 1.0000000 0.0000000 0.0000000 #> computer programming 1.0000000 0.0000000 0.0000000 #> memory 0.0000000 0.0000000 0.5000000 #> spies 0.6666667 0.0000000 0.0000000 #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills 0.0000000 0.3333333 0.8000000 #> writing 0.5000000 0.0000000 0.0000000 #> debates 0.0000000 0.0000000 0.6666667 #> mathematics 0.0000000 0.0000000 1.0000000 #> Smart 0.0000000 0.6000000 0.2500000 #> Brain 0.0000000 0.2500000 0.5000000 #> Science 1.0000000 0.0000000 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#> professors NA 0.0000000 NA #> scientists NA 0.0000000 NA #> data NA 0.0000000 NA #> computer programming NA 0.0000000 NA #> memory NA 0.0000000 NA #> spies NA 0.0000000 NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA 0.5000000 NA #> writing NA 0.3333333 NA #> debates NA 0.0000000 NA #> mathematics NA 0.0000000 NA #> Smart NA 0.2500000 NA #> Brain NA 0.5000000 NA #> Science NA 0.0000000 NA #> Genius NA 0.0000000 NA #> University NA 0.0000000 NA #> Knowledge NA 0.0000000 NA #> Books NA 0.0000000 NA #> Problem solving NA 1.0000000 NA #> Chess NA 0.0000000 NA #> Mathematics NA 0.0000000 NA #> Technology NA 0.0000000 NA #> Inventions NA NA NA #> Bill Gates NA 0.0000000 NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA 0.0000000 NA #> Education NA 0.0000000 NA #> Grades NA 0.0000000 NA #> Diploma NA 0.0000000 NA #> Scholarships NA 0.0000000 NA #> Logic NA 0.5000000 NA #> Analysis NA 0.0000000 NA #> abstract thinking quick wittedness #> intelligence 1.0000000 NA #> Einstein 0.2000000 NA #> books 0.0000000 NA #> IQ tests 1.0000000 NA #> college 0.0000000 NA #> smart people 0.0000000 NA #> brain 0.6666667 NA #> genius 0.0000000 NA #> technology 0.0000000 NA #> science 0.0000000 NA #> puzzles 0.8571429 NA #> knowledge 0.5000000 NA #> learning 0.0000000 NA #> reading 0.0000000 NA #> math 0.2500000 NA #> professor 0.0000000 NA #> IQ 1.0000000 NA #> chess 0.8333333 NA #> logic 0.6000000 NA #> debate 0.5000000 NA #> computer 0.0000000 NA #> school 0.0000000 NA #> education 0.0000000 NA #> grades 0.0000000 NA #> university 0.0000000 NA #> teacher 0.0000000 NA #> problem solving 1.0000000 NA #> critical thinking 0.7142857 NA #> innovation 0.0000000 NA #> coding 0.0000000 NA #> intelligence agency 0.0000000 NA #> library 0.0000000 NA #> study 0.0000000 NA #> intelligence quotient 1.0000000 NA #> scholarship 0.0000000 NA #> academic 0.0000000 NA #> history 0.0000000 NA #> linguistics 0.2500000 NA #> psychology 0.6666667 NA #> philosophy 1.0000000 NA #> neuroscience 0.5000000 NA #> smartwatch NA NA #> artificial intelligence 0.0000000 NA #> research 0.0000000 NA #> discoveries 0.0000000 NA #> inventions 0.0000000 NA #> Mensa 1.0000000 NA #> trivia 0.0000000 NA #> quantum physics 0.0000000 NA #> analytics 0.0000000 NA #> strategy games NA NA #> smart 0.8000000 NA #> tests 0.0000000 NA #> book smart 0.2500000 NA #> brains 0.8000000 NA #> wisdom 0.5000000 NA #> Stephen Hawking 0.2000000 NA #> clever 0.8333333 NA #> high scores NA NA #> mental NA NA #> intellectuals 1.0000000 NA #> savvy 0.8000000 NA #> success 0.5714286 NA #> nerd NA NA #> thinking 1.0000000 NA #> comprehension 0.0000000 NA #> understanding 0.6666667 NA #> creativity 0.1666667 NA #> insight 0.8000000 NA #> mastery NA NA #> scholars 0.4000000 NA #> expertise 1.0000000 NA #> intelligence agencies 0.0000000 NA #> cunning NA NA #> bright NA NA #> aptitude 0.0000000 NA #> scholarships 0.0000000 NA #> analysis 0.4000000 NA #> competition 0.5000000 NA #> strategy 0.6000000 NA #> apt brain NA NA #> achievements NA NA #> curiosity 0.0000000 NA #> observation NA NA #> quick witted 1.0000000 NA #> informed 1.0000000 NA #> street smart NA NA #> Smart people 0.0000000 NA #> Albert Einstein 0.1666667 NA #> AI 0.0000000 NA #> professors 0.0000000 NA #> scientists 0.0000000 NA #> data 0.0000000 NA #> computer programming 0.0000000 NA #> memory 0.0000000 NA #> spies 0.0000000 NA #> codes NA NA #> cybersecurity NA NA #> hacking NA NA #> language skills 0.5000000 NA #> writing 0.0000000 NA #> debates 0.6666667 NA #> mathematics NaN NA #> Smart 0.6000000 NA #> Brain 0.4000000 NA #> Science 0.0000000 NA #> Genius 0.0000000 NA #> University 0.0000000 NA #> Knowledge 0.0000000 NA #> Books 0.0000000 NA #> Problem solving 0.5000000 NA #> Chess 1.0000000 NA #> Mathematics 0.0000000 NA #> Technology 0.0000000 NA #> Inventions NA NA #> Bill Gates 0.0000000 NA #> Neil deGrasse Tyson NA NA #> Steve Jobs 0.0000000 NA #> Education 0.0000000 NA #> Grades 0.0000000 NA #> Diploma 0.0000000 NA #> Scholarships 0.0000000 NA #> Logic 1.0000000 NA #> Analysis 0.0000000 NA #> cognitive development mental flexibility Academia #> intelligence 1.0000000 0.3333333 0.1666667 #> Einstein 0.2000000 0.2500000 0.5000000 #> books 0.0000000 0.0000000 0.5000000 #> IQ tests 1.0000000 0.2500000 0.2000000 #> college 0.0000000 0.0000000 1.0000000 #> smart people 0.0000000 0.0000000 0.0000000 #> brain 0.5000000 0.8000000 0.3333333 #> genius 0.0000000 0.0000000 0.0000000 #> technology 0.0000000 0.0000000 0.0000000 #> science 0.0000000 0.0000000 0.0000000 #> puzzles 0.8571429 0.5000000 0.1666667 #> knowledge 0.4000000 0.2500000 0.2500000 #> learning 0.0000000 0.0000000 0.5000000 #> reading 0.0000000 0.0000000 0.5000000 #> math 0.2500000 0.2500000 0.7500000 #> professor 0.0000000 0.0000000 0.6000000 #> IQ 1.0000000 0.5000000 0.2500000 #> chess 0.8571429 0.3333333 0.4000000 #> logic 0.5000000 0.5000000 0.2000000 #> debate 0.3333333 1.0000000 0.5000000 #> computer 0.0000000 0.0000000 0.6666667 #> school 0.0000000 0.0000000 0.2500000 #> education 0.0000000 0.0000000 0.4000000 #> grades 0.0000000 0.0000000 0.5000000 #> university 0.0000000 0.0000000 0.2500000 #> teacher 0.0000000 0.0000000 0.6666667 #> problem solving 0.4000000 0.8000000 0.3333333 #> critical thinking 0.6000000 0.7500000 0.3333333 #> innovation 0.0000000 0.0000000 0.0000000 #> coding 0.0000000 0.0000000 0.0000000 #> intelligence agency 0.0000000 0.0000000 0.0000000 #> library 0.0000000 0.0000000 0.6666667 #> study 0.0000000 0.0000000 0.4000000 #> intelligence quotient 1.0000000 0.4000000 0.3333333 #> scholarship 0.0000000 0.0000000 0.5000000 #> academic 0.0000000 0.0000000 0.2500000 #> history 0.0000000 0.0000000 0.0000000 #> linguistics 0.3333333 0.3333333 1.0000000 #> psychology 0.2500000 0.7500000 0.3333333 #> philosophy 0.7500000 0.6666667 1.0000000 #> neuroscience 0.3333333 0.7500000 0.2500000 #> smartwatch NA NA NA #> artificial intelligence 0.0000000 0.0000000 0.0000000 #> research 0.0000000 0.0000000 1.0000000 #> discoveries 0.0000000 0.0000000 0.0000000 #> inventions 0.0000000 0.0000000 0.0000000 #> Mensa 1.0000000 0.0000000 0.0000000 #> trivia 0.2000000 0.0000000 0.3333333 #> quantum physics 0.0000000 0.0000000 0.0000000 #> analytics 0.0000000 0.0000000 0.0000000 #> strategy games NA NA NA #> smart 1.0000000 0.2500000 0.2000000 #> tests 0.0000000 0.0000000 0.6000000 #> book smart 0.0000000 0.0000000 0.4000000 #> brains 0.8000000 0.3333333 0.5000000 #> wisdom 0.4000000 0.7500000 0.5000000 #> Stephen Hawking 0.2000000 0.2500000 0.4000000 #> clever 1.0000000 0.5000000 0.2000000 #> high scores NA NA NA #> mental NA NA NA #> intellectuals 1.0000000 0.2000000 0.2000000 #> savvy 1.0000000 0.2000000 0.2000000 #> success 0.3333333 0.8000000 0.2000000 #> nerd NA NA NA #> thinking 1.0000000 0.0000000 0.0000000 #> comprehension 0.0000000 0.0000000 0.6666667 #> understanding 0.2000000 1.0000000 0.2500000 #> creativity 0.0000000 0.5000000 0.0000000 #> insight 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0.0000000 0.0000000 0.6000000 #> spies 0.0000000 0.0000000 0.0000000 #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills 0.2000000 0.8000000 0.3333333 #> writing 0.0000000 0.3333333 0.5000000 #> debates 0.6000000 0.2500000 0.5000000 #> mathematics 0.0000000 0.0000000 1.0000000 #> Smart 1.0000000 0.0000000 0.2500000 #> Brain 0.2500000 0.5000000 0.4000000 #> Science 0.0000000 0.0000000 0.0000000 #> Genius 0.0000000 0.0000000 0.0000000 #> University 0.0000000 0.0000000 0.5000000 #> Knowledge 0.0000000 0.0000000 0.5000000 #> Books 0.0000000 0.0000000 0.6666667 #> Problem solving 0.0000000 1.0000000 0.3333333 #> Chess 1.0000000 0.3333333 0.2000000 #> Mathematics 0.0000000 0.0000000 0.5000000 #> Technology 0.0000000 0.0000000 0.0000000 #> Inventions NA NA NA #> Bill Gates 0.0000000 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA #> Steve Jobs 0.0000000 0.0000000 0.0000000 #> Education 0.0000000 0.0000000 0.5000000 #> Grades 0.0000000 0.0000000 0.7500000 #> Diploma 0.0000000 0.0000000 1.0000000 #> Scholarships 0.0000000 0.0000000 0.3333333 #> Logic 1.0000000 0.0000000 0.0000000 #> Analysis 0.0000000 0.0000000 0.6000000 #> Adaptability Expertise Comprehension Reflection #> intelligence 0.5714286 NA 0.0000000 NA #> Einstein 0.5000000 NA 0.0000000 NA #> books 0.0000000 NA 0.5000000 NA #> IQ tests 0.6000000 NA 0.0000000 NA #> college 0.0000000 NA 1.0000000 NA #> smart people 0.0000000 NA 0.0000000 NA #> brain 0.6666667 NA 0.0000000 NA #> genius 0.0000000 NA 0.0000000 NA #> technology 0.2000000 NA 0.0000000 NA #> science 0.2000000 NA 0.0000000 NA #> puzzles 0.7142857 NA 0.0000000 NA #> knowledge 0.2500000 NA 0.5000000 NA #> learning 0.0000000 NA 1.0000000 NA #> reading 0.0000000 NA 0.0000000 NA #> math 0.2000000 NA 0.0000000 NA #> professor 0.0000000 NA 0.6666667 NA #> IQ 0.6000000 NA 0.0000000 NA #> chess 0.5000000 NA 0.0000000 NA #> logic 0.8000000 NA 0.0000000 NA #> debate 0.7500000 NA 1.0000000 NA #> computer 0.0000000 NA 0.5000000 NA #> school 0.0000000 NA NaN NA #> education 0.0000000 NA 0.6666667 NA #> grades 0.0000000 NA 1.0000000 NA #> university 0.0000000 NA 0.5000000 NA #> teacher 0.0000000 NA NaN NA #> problem solving 0.7500000 NA 0.3333333 NA #> critical thinking 0.7142857 NA 0.0000000 NA #> innovation 0.1666667 NA 0.0000000 NA #> coding 0.1666667 NA 0.0000000 NA #> intelligence agency 0.0000000 NA 0.0000000 NA #> library 0.0000000 NA 0.6666667 NA #> study 0.0000000 NA 0.6666667 NA #> intelligence quotient 0.7500000 NA 0.0000000 NA #> scholarship 0.0000000 NA 1.0000000 NA #> academic 0.0000000 NA 1.0000000 NA #> history 0.2500000 NA 0.0000000 NA #> linguistics 0.2000000 NA 1.0000000 NA #> psychology 0.6666667 NA 0.5000000 NA #> philosophy 0.6666667 NA 0.5000000 NA #> neuroscience 0.5000000 NA 0.5000000 NA #> smartwatch NA NA NA NA #> artificial intelligence 0.2500000 NA 0.0000000 NA #> research 0.0000000 NA 1.0000000 NA #> discoveries 0.0000000 NA 0.0000000 NA #> inventions 0.2000000 NA 0.0000000 NA #> Mensa 0.4000000 NA 0.0000000 NA #> trivia 0.0000000 NA 0.0000000 NA #> quantum physics 0.0000000 NA 0.0000000 NA #> analytics 0.0000000 NA 0.0000000 NA #> strategy games NA NA NA NA #> smart 0.4000000 NA NaN NA #> tests 0.0000000 NA 0.6666667 NA #> book smart 0.2500000 NA NaN NA #> brains 0.6000000 NA 0.0000000 NA #> wisdom 1.0000000 NA 1.0000000 NA #> Stephen Hawking 0.2000000 NA NaN NA #> clever 0.5000000 NA 0.0000000 NA #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals 0.4000000 NA 0.0000000 NA #> savvy 0.4000000 NA 0.0000000 NA #> success 1.0000000 NA 0.0000000 NA #> nerd NA NA NA NA #> thinking 0.2500000 NA 0.0000000 NA #> comprehension 0.0000000 NA 1.0000000 NA #> understanding 0.8000000 NA 0.3333333 NA #> creativity 0.5000000 NA 0.0000000 NA #> insight 0.8333333 NA 0.5000000 NA #> mastery NA NA NA NA #> scholars 0.2000000 NA 0.3333333 NA #> expertise 0.3333333 NA NaN NA #> intelligence agencies 0.0000000 NA 0.0000000 NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude 0.3333333 NA NaN NA #> scholarships 0.0000000 NA 0.6666667 NA #> analysis 0.7500000 NA 0.0000000 NA #> competition 1.0000000 NA 0.5000000 NA #> strategy 1.0000000 NA 0.3333333 NA #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity 0.2000000 NA 0.0000000 NA #> observation NA NA NA NA #> quick witted 0.6000000 NA 0.0000000 NA #> informed 0.2500000 NA 0.0000000 NA #> street smart NA NA NA NA #> Smart people 0.2500000 NA 0.5000000 NA #> Albert Einstein 0.3333333 NA 0.0000000 NA #> AI 0.2500000 NA 0.0000000 NA #> professors 0.0000000 NA 0.5000000 NA #> scientists 0.2500000 NA 0.0000000 NA #> data 0.0000000 NA 0.0000000 NA #> computer programming 0.0000000 NA 0.0000000 NA #> memory 0.0000000 NA 0.6666667 NA #> spies 0.0000000 NA 0.0000000 NA #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills 0.7500000 NA 0.6666667 NA #> writing 0.6666667 NA 0.0000000 NA #> debates 0.6666667 NA 0.0000000 NA #> mathematics 0.0000000 NA NaN NA #> Smart 0.0000000 NA 0.3333333 NA #> Brain 0.6000000 NA 1.0000000 NA #> Science 0.2000000 NA 0.0000000 NA #> Genius 0.0000000 NA 0.0000000 NA #> University 0.0000000 NA 0.0000000 NA #> Knowledge 0.0000000 NA 1.0000000 NA #> Books 0.0000000 NA 0.5000000 NA #> Problem solving 1.0000000 NA 0.0000000 NA #> Chess 0.6000000 NA 0.0000000 NA #> Mathematics 0.0000000 NA 1.0000000 NA #> Technology 0.0000000 NA 0.0000000 NA #> Inventions NA NA NA NA #> Bill Gates 0.0000000 NA 0.0000000 NA #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs 0.1666667 NA 0.0000000 NA #> Education 0.0000000 NA 0.6666667 NA #> Grades 0.0000000 NA 1.0000000 NA #> Diploma 0.0000000 NA 0.0000000 NA #> Scholarships 0.0000000 NA 0.0000000 NA #> Logic 0.5000000 NA 0.0000000 NA #> Analysis 0.0000000 NA 0.5000000 NA #> Brain power Cognition Professionalism Thoughtfulness #> intelligence NA NA NA NA #> Einstein NA NA NA NA #> books NA NA NA NA #> IQ tests NA NA NA NA #> college NA NA NA NA #> smart people NA NA NA NA #> brain NA NA NA NA #> genius NA NA NA NA #> technology NA NA NA NA #> science NA NA NA NA #> puzzles NA NA NA NA #> knowledge NA NA NA NA #> learning NA NA NA NA #> reading NA NA NA NA #> math NA NA NA NA #> professor NA NA NA NA #> IQ NA NA NA NA #> chess NA NA NA NA #> logic NA NA NA NA #> debate NA NA NA NA #> computer NA NA NA NA #> school NA NA NA NA #> education NA NA NA NA #> grades NA NA NA NA #> university NA NA NA NA #> teacher NA NA NA NA #> problem solving NA NA NA NA #> critical thinking NA NA NA NA #> innovation NA NA NA NA #> coding NA NA NA NA #> intelligence agency NA NA NA NA #> library NA NA NA NA #> study NA NA NA NA #> intelligence quotient NA NA NA NA #> scholarship NA NA NA NA #> academic NA NA NA NA #> history NA NA NA NA #> linguistics NA NA NA NA #> psychology NA NA NA NA #> philosophy NA NA NA NA #> neuroscience NA NA NA NA #> smartwatch NA NA NA NA #> artificial intelligence NA NA NA NA #> research NA NA NA NA #> discoveries NA NA NA NA #> inventions NA NA NA NA #> Mensa NA NA NA NA #> trivia NA NA NA NA #> quantum physics NA NA NA NA #> analytics NA NA NA NA #> strategy games NA NA NA NA #> smart NA NA NA NA #> tests NA NA NA NA #> book smart NA NA NA NA #> brains NA NA NA NA #> wisdom NA NA NA NA #> Stephen Hawking NA NA NA NA #> clever NA NA NA NA #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals NA NA NA NA #> savvy NA NA NA NA #> success NA NA NA NA #> nerd NA NA NA NA #> thinking NA NA NA NA #> comprehension NA NA NA NA #> understanding NA NA NA NA #> creativity NA NA NA NA #> insight NA NA NA NA #> mastery NA NA NA NA #> scholars NA NA NA NA #> expertise NA NA NA NA #> intelligence agencies NA NA NA NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude NA NA NA NA #> scholarships NA NA NA NA #> analysis NA NA NA NA #> competition NA NA NA NA #> strategy NA NA NA NA #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity NA NA NA NA #> observation NA NA NA NA #> quick witted NA NA NA NA #> informed NA NA NA NA #> street smart NA NA NA NA #> Smart people NA NA NA NA #> Albert Einstein NA NA NA NA #> AI NA NA NA NA #> professors NA NA NA NA #> scientists NA NA NA NA #> data NA NA NA NA #> computer programming NA NA NA NA #> memory NA NA NA NA #> spies NA NA NA NA #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills NA NA NA NA #> writing NA NA NA NA #> debates NA NA NA NA #> mathematics NA NA NA NA #> Smart NA NA NA NA #> Brain NA NA NA NA #> Science NA NA NA NA #> Genius NA NA NA NA #> University NA NA NA NA #> Knowledge NA NA NA NA #> Books NA NA NA NA #> Problem solving NA NA NA NA #> Chess NA NA NA NA #> Mathematics NA NA NA NA #> Technology NA NA NA NA #> Inventions NA NA NA NA #> Bill Gates NA NA NA NA #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs NA NA NA NA #> Education NA NA NA NA #> Grades NA NA NA NA #> Diploma NA NA NA NA #> Scholarships NA NA NA NA #> Logic NA NA NA NA #> Analysis NA NA NA NA #> Information processing Intellectual conversations #> intelligence NA 1.0000000 #> Einstein NA 0.2500000 #> books NA 0.0000000 #> IQ tests NA 1.0000000 #> college NA 0.0000000 #> smart people NA 0.0000000 #> brain NA 0.6000000 #> genius NA 0.0000000 #> technology NA 0.0000000 #> science NA 0.0000000 #> puzzles NA 0.8000000 #> knowledge NA 0.5000000 #> learning NA 0.0000000 #> reading NA 0.0000000 #> math NA 0.3333333 #> professor NA 0.0000000 #> IQ NA 1.0000000 #> chess NA 0.8000000 #> logic NA 0.5000000 #> debate NA 0.5000000 #> computer NA 0.0000000 #> school NA 0.0000000 #> education NA 0.0000000 #> grades NA 0.0000000 #> university NA 0.0000000 #> teacher NA 0.0000000 #> problem solving NA 0.6666667 #> critical thinking NA 0.6000000 #> innovation NA 0.0000000 #> coding NA 0.0000000 #> intelligence agency NA 0.0000000 #> library NA 0.0000000 #> study NA 0.0000000 #> intelligence quotient NA 1.0000000 #> scholarship NA 0.0000000 #> academic NA 0.0000000 #> history NA 0.0000000 #> linguistics NA 0.3333333 #> psychology NA 0.6666667 #> philosophy NA 1.0000000 #> neuroscience NA 0.3333333 #> smartwatch NA NA #> artificial intelligence NA 0.0000000 #> research NA 0.0000000 #> discoveries NA 0.0000000 #> inventions NA 0.0000000 #> Mensa NA 1.0000000 #> trivia NA 0.0000000 #> quantum physics NA 0.0000000 #> analytics NA 0.0000000 #> strategy games NA NA #> smart NA 1.0000000 #> tests NA 0.0000000 #> book smart NA 0.0000000 #> brains NA 0.6666667 #> wisdom NA 0.3333333 #> Stephen Hawking NA 0.2500000 #> clever NA 1.0000000 #> high scores NA NA #> mental NA NA #> intellectuals NA 1.0000000 #> savvy NA 1.0000000 #> success NA 0.5000000 #> nerd NA NA #> thinking NA 1.0000000 #> comprehension NA 0.0000000 #> understanding NA 0.3333333 #> creativity NA 0.2500000 #> insight NA 0.7500000 #> mastery NA NA #> scholars NA 0.6666667 #> expertise NA 0.5000000 #> intelligence agencies NA 0.0000000 #> cunning NA NA #> bright NA NA #> aptitude NA 0.0000000 #> scholarships NA 0.0000000 #> analysis NA 0.0000000 #> competition NA 0.0000000 #> strategy NA 0.3333333 #> apt brain NA NA #> achievements NA NA #> curiosity NA 0.0000000 #> observation NA NA #> quick witted NA 1.0000000 #> informed NA 1.0000000 #> street smart NA NA #> Smart people NA 0.0000000 #> Albert Einstein NA 0.3333333 #> AI NA 0.0000000 #> professors NA 0.0000000 #> scientists NA 0.0000000 #> data NA 0.0000000 #> computer programming NA 0.0000000 #> memory NA 0.0000000 #> spies NA 0.0000000 #> codes NA NA #> cybersecurity NA NA #> hacking NA NA #> language skills NA 0.6666667 #> writing NA 0.0000000 #> debates NA 0.6666667 #> mathematics NA 0.0000000 #> Smart NA 0.7500000 #> Brain NA 0.2500000 #> Science NA 0.0000000 #> Genius NA 0.0000000 #> University NA 0.0000000 #> Knowledge NA 0.0000000 #> Books NA 0.0000000 #> Problem solving NA 0.3333333 #> Chess NA 1.0000000 #> Mathematics NA 0.0000000 #> Technology NA 0.0000000 #> Inventions NA NA #> Bill Gates NA 0.0000000 #> Neil deGrasse Tyson NA NA #> Steve Jobs NA 0.0000000 #> Education NA 0.0000000 #> Grades NA 0.0000000 #> Diploma NA 0.0000000 #> Scholarships NA 0.0000000 #> Logic NA 1.0000000 #> Analysis NA 0.0000000 #> Education level Empirical evidence Rationality #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA NA NA #> observation NA NA NA #> quick witted NA NA NA #> informed NA NA NA #> street smart NA NA NA #> Smart people NA NA NA #> Albert Einstein NA NA NA #> AI NA NA NA #> professors NA NA NA #> scientists NA NA NA #> data NA NA NA #> computer programming NA NA NA #> memory NA NA NA #> spies NA NA NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA NA NA #> writing NA NA NA #> debates NA NA NA #> mathematics NA NA NA #> Smart NA NA NA #> Brain NA NA NA #> Science NA NA NA #> Genius NA NA NA #> University NA NA NA #> Knowledge NA NA NA #> Books NA NA NA #> Problem solving NA NA NA #> Chess NA NA NA #> Mathematics NA NA NA #> Technology NA NA NA #> Inventions NA NA NA #> Bill Gates NA NA NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA NA NA #> Education NA NA NA #> Grades NA NA NA #> Diploma NA NA NA #> Scholarships NA NA NA #> Logic NA NA NA #> Analysis NA NA NA #> Intellectual capacity Mental agility Scholars #> intelligence 1.0 0.5000000 0.2000000 #> Einstein 0.0 0.5000000 0.3333333 #> books 0.0 0.0000000 0.2000000 #> IQ tests 1.0 0.5000000 0.2500000 #> college 0.0 0.0000000 0.0000000 #> smart people 0.0 0.0000000 0.0000000 #> brain 0.5 0.8333333 0.6666667 #> genius 0.0 0.0000000 0.0000000 #> technology 0.0 0.1428571 0.0000000 #> science 0.0 0.1666667 0.0000000 #> puzzles 1.0 0.6250000 0.4000000 #> knowledge 0.0 0.2500000 0.0000000 #> learning 0.0 0.0000000 0.3333333 #> reading 0.0 0.0000000 0.2000000 #> math NaN 0.2000000 0.0000000 #> professor 0.0 0.0000000 0.0000000 #> IQ 1.0 0.5000000 0.3333333 #> chess 0.5 0.5714286 0.4000000 #> logic 0.0 0.8333333 0.7500000 #> debate 0.0 0.7500000 1.0000000 #> computer NaN 0.0000000 0.0000000 #> school 0.0 0.0000000 0.3333333 #> education 0.0 0.0000000 0.3333333 #> grades 0.0 0.0000000 0.5000000 #> university 0.0 0.0000000 0.2500000 #> teacher NaN 0.0000000 0.3333333 #> problem solving 1.0 0.7500000 0.5000000 #> critical thinking 0.5 0.8571429 1.0000000 #> innovation 0.0 0.1428571 0.0000000 #> coding 0.0 0.2000000 0.0000000 #> intelligence agency 0.0 0.0000000 0.0000000 #> library 0.0 0.0000000 0.0000000 #> study 0.0 0.0000000 0.2500000 #> intelligence quotient NaN 0.6000000 0.2500000 #> scholarship 0.0 0.0000000 0.0000000 #> academic 0.0 0.0000000 0.0000000 #> history 0.0 0.1666667 0.0000000 #> linguistics 0.0 0.2500000 0.0000000 #> psychology 0.0 1.0000000 0.7500000 #> philosophy 1.0 0.7500000 0.6666667 #> neuroscience 0.5 0.8000000 0.7500000 #> smartwatch NA NA NA #> artificial intelligence 0.0 0.2000000 0.0000000 #> research 0.0 0.0000000 0.0000000 #> discoveries 0.0 0.0000000 0.0000000 #> inventions 0.0 0.1428571 0.0000000 #> Mensa 1.0 0.5000000 0.3333333 #> trivia 0.0 0.0000000 0.0000000 #> quantum physics NaN 0.0000000 0.0000000 #> analytics 0.0 0.0000000 0.0000000 #> strategy games NA NA NA #> smart 1.0 0.4000000 0.0000000 #> tests 0.0 0.0000000 0.0000000 #> book smart 0.0 0.2500000 0.0000000 #> brains 0.5 0.8000000 0.6666667 #> wisdom 0.0 1.0000000 0.7500000 #> Stephen Hawking 0.0 0.4000000 0.2500000 #> clever 1.0 0.5000000 0.0000000 #> high scores NA NA NA #> mental NA NA NA #> intellectuals 1.0 0.3333333 0.0000000 #> savvy 1.0 0.3333333 0.0000000 #> success 0.0 0.7500000 0.4000000 #> nerd NA NA NA #> thinking 1.0 0.3333333 0.3333333 #> comprehension 0.0 0.0000000 0.3333333 #> understanding 0.5 0.8571429 0.8000000 #> creativity 0.0 0.4285714 0.2500000 #> insight NaN 1.0000000 1.0000000 #> mastery NA NA NA #> scholars 0.0 0.1666667 0.0000000 #> expertise NaN 0.5000000 0.0000000 #> intelligence agencies NaN 0.0000000 0.0000000 #> cunning NA NA NA #> bright NA NA NA #> aptitude NaN 0.0000000 0.0000000 #> scholarships 0.0 0.0000000 0.0000000 #> analysis 0.0 0.6666667 0.7500000 #> competition 0.0 1.0000000 0.7500000 #> strategy 0.0 1.0000000 0.7500000 #> apt brain NA NA NA #> achievements NA NA NA #> curiosity 0.0 0.3333333 0.2500000 #> observation NA NA NA #> quick witted 1.0 0.6000000 0.0000000 #> informed 1.0 0.2500000 0.0000000 #> street smart NA NA NA #> Smart people 0.0 0.2000000 0.0000000 #> Albert Einstein 0.0 0.2857143 0.0000000 #> AI 0.0 0.2000000 0.0000000 #> professors 0.0 0.0000000 0.0000000 #> scientists 0.0 0.2000000 0.0000000 #> data 0.0 0.0000000 0.0000000 #> computer programming 0.0 0.0000000 0.0000000 #> memory 0.0 0.0000000 0.0000000 #> spies 0.0 0.0000000 0.0000000 #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills 0.0 0.8000000 1.0000000 #> writing 0.0 0.3333333 0.0000000 #> debates 0.0 0.7500000 0.6666667 #> mathematics NaN NaN 1.0000000 #> Smart 1.0 0.0000000 0.0000000 #> Brain 0.0 0.8000000 0.7500000 #> Science 0.0 0.1666667 0.0000000 #> Genius 0.0 0.0000000 0.0000000 #> University NaN 0.0000000 0.0000000 #> Knowledge 0.0 0.0000000 0.0000000 #> Books NaN 0.0000000 0.0000000 #> Problem solving 0.0 1.0000000 1.0000000 #> Chess NaN 0.6000000 0.0000000 #> Mathematics 0.0 0.0000000 0.0000000 #> Technology NaN 0.0000000 0.0000000 #> Inventions NA NA NA #> Bill Gates 0.0 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA #> Steve Jobs 0.0 0.1428571 0.0000000 #> Education 0.0 0.0000000 0.3333333 #> Grades 0.0 0.0000000 0.0000000 #> Diploma NaN 0.0000000 0.3333333 #> Scholarships NaN 0.0000000 0.0000000 #> Logic 1.0 0.5000000 0.5000000 #> Analysis 0.0 0.2000000 0.5000000 #> Higher education intelligence quotient IQ #> intelligence NA NA #> Einstein NA NA #> books NA NA #> IQ tests NA NA #> college NA NA #> smart people NA NA #> brain NA NA #> genius NA NA #> technology NA NA #> science NA NA #> puzzles NA NA #> knowledge NA NA #> learning NA NA #> reading NA NA #> math NA NA #> professor NA NA #> IQ NA NA #> chess NA NA #> logic NA NA #> debate NA NA #> computer NA NA #> school NA NA #> education NA NA #> grades NA NA #> university NA NA #> teacher NA NA #> problem solving NA NA #> critical thinking NA NA #> innovation NA NA #> coding NA NA #> intelligence agency NA NA #> library NA NA #> study NA NA #> intelligence quotient NA NA #> scholarship NA NA #> academic NA NA #> history NA NA #> linguistics NA NA #> psychology NA NA #> philosophy NA NA #> neuroscience NA NA #> smartwatch NA NA #> artificial intelligence NA NA #> research NA NA #> discoveries NA NA #> inventions NA NA #> Mensa NA NA #> trivia NA NA #> quantum physics NA NA #> analytics NA NA #> strategy games NA NA #> smart NA NA #> tests NA NA #> book smart NA NA #> brains NA NA #> wisdom NA NA #> Stephen Hawking NA NA #> clever NA NA #> high scores NA NA #> mental NA NA #> intellectuals NA NA #> savvy NA NA #> success NA NA #> nerd NA NA #> thinking NA NA #> comprehension NA NA #> understanding NA NA #> creativity NA NA #> insight NA NA #> mastery NA NA #> scholars NA NA #> expertise NA NA #> intelligence agencies NA NA #> cunning NA NA #> bright NA NA #> aptitude NA NA #> scholarships NA NA #> analysis NA NA #> competition NA NA #> strategy NA NA #> apt brain NA NA #> achievements NA NA #> curiosity NA NA #> observation NA NA #> quick witted NA NA #> informed NA NA #> street smart NA NA #> Smart people NA NA #> Albert Einstein NA NA #> AI NA NA #> professors NA NA #> scientists NA NA #> data NA NA #> computer programming NA NA #> memory NA NA #> spies NA NA #> codes NA NA #> cybersecurity NA NA #> hacking NA NA #> language skills NA NA #> writing NA NA #> debates NA NA #> mathematics NA NA #> Smart NA NA #> Brain NA NA #> Science NA NA #> Genius NA NA #> University NA NA #> Knowledge NA NA #> Books NA NA #> Problem solving NA NA #> Chess NA NA #> Mathematics NA NA #> Technology NA NA #> Inventions NA NA #> Bill Gates NA NA #> Neil deGrasse Tyson NA NA #> Steve Jobs NA NA #> Education NA NA #> Grades NA NA #> Diploma NA NA #> Scholarships NA NA #> Logic NA NA #> Analysis NA NA #> Strategic thinking theoretical knowledge giftedness #> intelligence NA 1.0000000 NA #> Einstein NA 0.3333333 NA #> books NA 0.0000000 NA #> IQ tests NA 1.0000000 NA #> college NA 0.0000000 NA #> smart people NA 0.0000000 NA #> brain NA 0.7500000 NA #> genius NA 0.0000000 NA #> technology NA 0.0000000 NA #> science NA 0.0000000 NA #> puzzles NA 1.0000000 NA #> knowledge NA 0.6666667 NA #> learning NA 0.0000000 NA #> reading NA 0.0000000 NA #> math NA 1.0000000 NA #> professor NA 0.0000000 NA #> IQ NA 1.0000000 NA #> chess NA 1.0000000 NA #> logic NA 1.0000000 NA #> debate NA 0.5000000 NA #> computer NA 0.0000000 NA #> school NA 0.0000000 NA #> education NA 0.0000000 NA #> grades NA 0.0000000 NA #> university NA 0.0000000 NA #> teacher NA 0.0000000 NA #> problem solving NA 0.7500000 NA #> critical thinking NA 1.0000000 NA #> innovation NA 0.0000000 NA #> coding NA 0.0000000 NA #> intelligence agency NA 0.0000000 NA #> library NA 0.0000000 NA #> study NA 0.0000000 NA #> intelligence quotient NA 1.0000000 NA #> scholarship NA 0.0000000 NA #> academic NA 0.0000000 NA #> history NA 0.0000000 NA #> linguistics NA 0.3333333 NA #> psychology NA 0.5000000 NA #> philosophy NA 1.0000000 NA #> neuroscience NA 0.5000000 NA #> smartwatch NA NA NA #> artificial intelligence NA 0.0000000 NA #> research NA 0.0000000 NA #> discoveries NA 0.0000000 NA #> inventions NA 0.0000000 NA #> Mensa NA 1.0000000 NA #> trivia NA 0.5000000 NA #> quantum physics NA 0.0000000 NA #> analytics NA 0.0000000 NA #> strategy games NA NA NA #> smart NA 1.0000000 NA #> tests NA 0.0000000 NA #> book smart NA 0.0000000 NA #> brains NA 1.0000000 NA #> wisdom NA 1.0000000 NA #> Stephen Hawking NA 0.5000000 NA #> clever NA 1.0000000 NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA 1.0000000 NA #> savvy NA 1.0000000 NA #> success NA 0.5000000 NA #> nerd NA NA NA #> thinking NA 1.0000000 NA #> comprehension NA 0.0000000 NA #> understanding NA 0.6666667 NA #> creativity NA 0.5000000 NA #> insight NA 1.0000000 NA #> mastery NA NA NA #> scholars NA 0.5000000 NA #> expertise NA 0.0000000 NA #> intelligence agencies NA 0.0000000 NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA 0.5000000 NA #> scholarships NA 0.0000000 NA #> analysis NA 0.0000000 NA #> competition NA 0.0000000 NA #> strategy NA 0.3333333 NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA 0.0000000 NA #> observation NA NA NA #> quick witted NA 1.0000000 NA #> informed NA 1.0000000 NA #> street smart NA NA NA #> Smart people NA 0.0000000 NA #> Albert Einstein NA 0.3333333 NA #> AI NA 0.0000000 NA #> professors NA 0.0000000 NA #> scientists NA 0.0000000 NA #> data NA 0.0000000 NA #> computer programming NA 0.0000000 NA #> memory NA 0.0000000 NA #> spies NA 0.0000000 NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA 0.5000000 NA #> writing NA 0.0000000 NA #> debates NA 0.5000000 NA #> mathematics NA 0.0000000 NA #> Smart NA 0.6666667 NA #> Brain NA 0.0000000 NA #> Science NA 0.0000000 NA #> Genius NA 0.0000000 NA #> University NA 0.0000000 NA #> Knowledge NA 0.0000000 NA #> Books NA 0.0000000 NA #> Problem solving NA 1.0000000 NA #> Chess NA 1.0000000 NA #> Mathematics NA 0.0000000 NA #> Technology NA 0.0000000 NA #> Inventions NA NA NA #> Bill Gates NA 0.0000000 NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA 0.0000000 NA #> Education NA 0.0000000 NA #> Grades NA 0.0000000 NA #> Diploma NA 0.0000000 NA #> Scholarships NA 0.0000000 NA #> Logic NA 1.0000000 NA #> Analysis NA 0.0000000 NA #> psychometrics education systems thought leadership #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA NA NA #> observation NA NA NA #> quick witted NA NA NA #> informed NA NA NA #> street smart NA NA NA #> Smart people NA NA NA #> Albert Einstein NA NA NA #> AI NA NA NA #> professors NA NA NA #> scientists NA NA NA #> data NA NA NA #> computer programming NA NA NA #> memory NA NA NA #> spies NA NA NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA NA NA #> writing NA NA NA #> debates NA NA NA #> mathematics NA NA NA #> Smart NA NA NA #> Brain NA NA NA #> Science NA NA NA #> Genius NA NA NA #> University NA NA NA #> Knowledge NA NA NA #> Books NA NA NA #> Problem solving NA NA NA #> Chess NA NA NA #> Mathematics NA NA NA #> Technology NA NA NA #> Inventions NA NA NA #> Bill Gates NA NA NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA NA NA #> Education NA NA NA #> Grades NA NA NA #> Diploma NA NA NA #> Scholarships NA NA NA #> Logic NA NA NA #> Analysis NA NA NA #> scholarly specialist conceptual thinking #> intelligence 0.1250000 NA 0.8333333 #> Einstein 0.4000000 NA 0.3333333 #> books 0.6250000 NA 0.0000000 #> IQ tests 0.1666667 NA 0.8333333 #> college 1.0000000 NA 0.0000000 #> smart people 0.0000000 NA 0.0000000 #> brain 0.2857143 NA 0.7500000 #> genius 0.0000000 NA 0.0000000 #> technology 0.0000000 NA 0.0000000 #> science 0.0000000 NA 0.0000000 #> puzzles 0.1250000 NA 0.8333333 #> knowledge 0.2000000 NA 0.0000000 #> learning 0.6000000 NA 0.0000000 #> reading 0.6666667 NA 0.0000000 #> math 0.8000000 NA 0.2000000 #> professor 0.6666667 NA 0.0000000 #> IQ 0.2500000 NA 1.0000000 #> chess 0.2857143 NA 0.6000000 #> logic 0.1666667 NA 0.6000000 #> debate 0.5000000 NA 1.0000000 #> computer 0.7500000 NA 0.0000000 #> school 0.4000000 NA 0.0000000 #> education 0.5714286 NA 0.0000000 #> grades 0.6666667 NA 0.0000000 #> university 0.5000000 NA 0.0000000 #> teacher 0.7500000 NA 0.0000000 #> problem solving 0.2000000 NA 0.6666667 #> critical thinking 0.3333333 NA 0.8000000 #> innovation 0.0000000 NA 0.0000000 #> coding 0.0000000 NA 0.0000000 #> intelligence agency 0.0000000 NA 0.0000000 #> library 0.7500000 NA 0.0000000 #> study 0.5714286 NA 0.0000000 #> intelligence quotient 0.2000000 NA 0.6666667 #> scholarship 0.5000000 NA 0.0000000 #> academic 0.2500000 NA 0.0000000 #> history 0.0000000 NA 0.0000000 #> linguistics 1.0000000 NA 0.3333333 #> psychology 0.2000000 NA 0.7500000 #> philosophy 0.3333333 NA 1.0000000 #> neuroscience 0.1666667 NA 0.7500000 #> smartwatch NA NA NA #> artificial intelligence 0.0000000 NA 0.0000000 #> research 0.7500000 NA 0.0000000 #> discoveries 0.0000000 NA 0.0000000 #> inventions 0.0000000 NA 0.0000000 #> Mensa 0.0000000 NA 1.0000000 #> trivia 0.4000000 NA 0.0000000 #> quantum physics 0.0000000 NA 0.0000000 #> analytics 0.0000000 NA 0.0000000 #> strategy games NA NA NA #> smart 0.1666667 NA 0.8000000 #> tests 0.6666667 NA 0.0000000 #> book smart 0.4000000 NA 0.2500000 #> brains 0.4000000 NA 0.8000000 #> wisdom 0.3333333 NA 0.7500000 #> Stephen Hawking 0.3333333 NA 0.2000000 #> clever 0.1666667 NA 0.8000000 #> high scores NA NA NA #> mental NA NA NA #> intellectuals 0.1428571 NA 0.8000000 #> savvy 0.1428571 NA 0.6666667 #> success 0.1428571 NA 0.6000000 #> nerd NA NA NA #> thinking 0.0000000 NA 1.0000000 #> comprehension 0.7500000 NA 0.0000000 #> understanding 0.1666667 NA 0.7500000 #> creativity 0.0000000 NA 0.0000000 #> insight 0.1666667 NA 1.0000000 #> mastery NA NA NA #> scholars 0.2000000 NA 0.0000000 #> expertise 0.0000000 NA 0.5000000 #> intelligence agencies 0.0000000 NA 0.0000000 #> cunning NA NA NA #> bright NA NA NA #> aptitude 0.0000000 NA 0.0000000 #> scholarships 0.6666667 NA 0.0000000 #> analysis 0.2000000 NA 0.4000000 #> competition 0.0000000 NA 1.0000000 #> strategy 0.1666667 NA 0.6000000 #> apt brain NA NA NA #> achievements NA NA NA #> curiosity 0.2000000 NA 0.0000000 #> observation NA NA NA #> quick witted 0.1666667 NA 0.7500000 #> informed 0.0000000 NA 1.0000000 #> street smart NA NA NA #> Smart people 0.3333333 NA 0.0000000 #> Albert Einstein 0.2000000 NA 0.2500000 #> AI 0.0000000 NA 0.0000000 #> professors 0.6666667 NA 0.0000000 #> scientists 0.0000000 NA 0.0000000 #> data 0.0000000 NA 0.0000000 #> computer programming 0.0000000 NA 0.0000000 #> memory 0.6666667 NA 0.0000000 #> spies 0.0000000 NA 0.0000000 #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills 0.4000000 NA 1.0000000 #> writing 0.3333333 NA 0.0000000 #> debates 0.5000000 NA 0.6000000 #> mathematics 1.0000000 NA 0.0000000 #> Smart 0.1666667 NA 0.5000000 #> Brain 0.3333333 NA 0.7500000 #> Science 0.0000000 NA 0.0000000 #> Genius 0.0000000 NA 0.0000000 #> University 0.6000000 NA 0.0000000 #> Knowledge 0.5000000 NA 0.0000000 #> Books 0.7500000 NA 0.0000000 #> Problem solving 0.3333333 NA 0.5000000 #> Chess 0.1428571 NA 0.7500000 #> Mathematics 0.5000000 NA 0.0000000 #> Technology 0.0000000 NA 0.0000000 #> Inventions NA NA NA #> Bill Gates 0.0000000 NA 0.0000000 #> Neil deGrasse Tyson NA NA NA #> Steve Jobs 0.0000000 NA 0.0000000 #> Education 0.6666667 NA 0.0000000 #> Grades 0.7500000 NA 0.0000000 #> Diploma 1.0000000 NA 0.0000000 #> Scholarships 0.5000000 NA 0.0000000 #> Logic 0.0000000 NA 0.7500000 #> Analysis 0.7142857 NA 0.0000000 #> intellectual growth STEM fields theoretical concepts #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA NA NA #> observation NA NA NA #> quick witted NA NA NA #> informed NA NA NA #> street smart NA NA NA #> Smart people NA NA NA #> Albert Einstein NA NA NA #> AI NA NA NA #> professors NA NA NA #> scientists NA NA NA #> data NA NA NA #> computer programming NA NA NA #> memory NA NA NA #> spies NA NA NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA NA NA #> writing NA NA NA #> debates NA NA NA #> mathematics NA NA NA #> Smart NA NA NA #> Brain NA NA NA #> Science NA NA NA #> Genius NA NA NA #> University NA NA NA #> Knowledge NA NA NA #> Books NA NA NA #> Problem solving NA NA NA #> Chess NA NA NA #> Mathematics NA NA NA #> Technology NA NA NA #> Inventions NA NA NA #> Bill Gates NA NA NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA NA NA #> Education NA NA NA #> Grades NA NA NA #> Diploma NA NA NA #> Scholarships NA NA NA #> Logic NA NA NA #> Analysis NA NA NA #> educated opinion language proficiency #> intelligence NA NA #> Einstein NA NA #> books NA NA #> IQ tests NA NA #> college NA NA #> smart people NA NA #> brain NA NA #> genius NA NA #> technology NA NA #> science NA NA #> puzzles NA NA #> knowledge NA NA #> learning NA NA #> reading NA NA #> math NA NA #> professor NA NA #> IQ NA NA #> chess NA NA #> logic NA NA #> debate NA NA #> computer NA NA #> school NA NA #> education NA NA #> grades NA NA #> university NA NA #> teacher NA NA #> problem solving NA NA #> critical thinking NA NA #> innovation NA NA #> coding NA NA #> intelligence agency NA NA #> library NA NA #> study NA NA #> intelligence quotient NA NA #> scholarship NA NA #> academic NA NA #> history NA NA #> linguistics NA NA #> psychology NA NA #> philosophy NA NA #> neuroscience NA NA #> smartwatch NA NA #> artificial intelligence NA NA #> research NA NA #> discoveries NA NA #> inventions NA NA #> Mensa NA NA #> trivia NA NA #> quantum physics NA NA #> analytics NA NA #> strategy games NA NA #> smart NA NA #> tests NA NA #> book smart NA NA #> brains NA NA #> wisdom NA NA #> Stephen Hawking NA NA #> clever NA NA #> high scores NA NA #> mental NA NA #> intellectuals NA NA #> savvy NA NA #> success NA NA #> nerd NA NA #> thinking NA NA #> comprehension NA NA #> understanding NA NA #> creativity NA NA #> insight NA NA #> mastery NA NA #> scholars NA NA #> expertise NA NA #> intelligence agencies NA NA #> cunning NA NA #> bright NA NA #> aptitude NA NA #> scholarships NA NA #> analysis NA NA #> competition NA NA #> strategy NA NA #> apt brain NA NA #> achievements NA NA #> curiosity NA NA #> observation NA NA #> quick witted NA NA #> informed NA NA #> street smart NA NA #> Smart people NA NA #> Albert Einstein NA NA #> AI NA NA #> professors NA NA #> scientists NA NA #> data NA NA #> computer programming NA NA #> memory NA NA #> spies NA NA #> codes NA NA #> cybersecurity NA NA #> hacking NA NA #> language skills NA NA #> writing NA NA #> debates NA NA #> mathematics NA NA #> Smart NA NA #> Brain NA NA #> Science NA NA #> Genius NA NA #> University NA NA #> Knowledge NA NA #> Books NA NA #> Problem solving NA NA #> Chess NA NA #> Mathematics NA NA #> Technology NA NA #> Inventions NA NA #> Bill Gates NA NA #> Neil deGrasse Tyson NA NA #> Steve Jobs NA NA #> Education NA NA #> Grades NA NA #> Diploma NA NA #> Scholarships NA NA #> Logic NA NA #> Analysis NA NA #> cultural understanding open mindedness #> intelligence NA 0.5714286 #> Einstein NA 0.4000000 #> books NA 0.0000000 #> IQ tests NA 0.5000000 #> college NA 0.0000000 #> smart people NA 0.0000000 #> brain NA 1.0000000 #> genius NA 0.0000000 #> technology NA 0.0000000 #> science NA 0.0000000 #> puzzles NA 0.7142857 #> knowledge NA 0.3333333 #> learning NA 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science NA NA NA NA #> puzzles NA NA NA NA #> knowledge NA NA NA NA #> learning NA NA NA NA #> reading NA NA NA NA #> math NA NA NA NA #> professor NA NA NA NA #> IQ NA NA NA NA #> chess NA NA NA NA #> logic NA NA NA NA #> debate NA NA NA NA #> computer NA NA NA NA #> school NA NA NA NA #> education NA NA NA NA #> grades NA NA NA NA #> university NA NA NA NA #> teacher NA NA NA NA #> problem solving NA NA NA NA #> critical thinking NA NA NA NA #> innovation NA NA NA NA #> coding NA NA NA NA #> intelligence agency NA NA NA NA #> library NA NA NA NA #> study NA NA NA NA #> intelligence quotient NA NA NA NA #> scholarship NA NA NA NA #> academic NA NA NA NA #> history NA NA NA NA #> linguistics NA NA NA NA #> psychology NA NA NA NA #> philosophy NA NA NA NA #> neuroscience NA NA NA NA #> smartwatch NA NA NA NA #> artificial intelligence NA NA NA NA #> research NA NA NA NA #> discoveries NA NA NA NA #> inventions NA NA NA NA #> Mensa NA NA NA NA #> trivia NA NA NA NA #> quantum physics NA NA NA NA #> analytics NA NA NA NA #> strategy games NA NA NA NA #> smart NA NA NA NA #> tests NA NA NA NA #> book smart NA NA NA NA #> brains NA NA NA NA #> wisdom NA NA NA NA #> Stephen Hawking NA NA NA NA #> clever NA NA NA NA #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals NA NA NA NA #> savvy NA NA NA NA #> success NA NA NA NA #> nerd NA NA NA NA #> thinking NA NA NA NA #> comprehension NA NA NA NA #> understanding NA NA NA NA #> creativity NA NA NA NA #> insight NA NA NA NA #> mastery NA NA NA NA #> scholars NA NA NA NA #> expertise NA NA NA NA #> intelligence agencies NA NA NA NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude NA NA NA NA #> scholarships NA NA NA NA #> analysis NA NA NA NA #> competition NA NA NA NA #> strategy NA NA NA NA #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity NA NA NA NA #> observation NA NA NA NA #> quick witted NA NA NA NA #> informed NA NA NA NA #> street smart NA NA NA NA #> Smart people NA NA NA NA #> Albert Einstein NA NA NA NA #> AI NA NA NA NA #> professors NA NA NA NA #> scientists NA NA NA NA #> data NA NA NA NA #> computer programming NA NA NA NA #> memory NA NA NA NA #> spies NA NA NA NA #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills NA NA NA NA #> writing NA NA NA NA #> debates NA NA NA NA #> mathematics NA NA NA NA #> Smart NA NA NA NA #> Brain NA NA NA NA #> Science NA NA NA NA #> Genius NA NA NA NA #> University NA NA NA NA #> Knowledge NA NA NA NA #> Books NA NA NA NA #> Problem solving NA NA NA NA #> Chess NA NA NA NA #> Mathematics NA NA NA NA #> Technology NA NA NA NA #> Inventions NA NA NA NA #> Bill Gates NA NA NA NA #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs NA NA NA NA #> Education NA NA NA NA #> Grades NA NA NA NA #> Diploma NA NA NA NA #> Scholarships NA NA NA NA #> Logic NA NA NA NA #> Analysis NA NA NA NA #> Intuition Open mindedness Cognitive psychology #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA NA NA #> observation NA NA NA #> quick witted NA NA NA #> informed NA NA NA #> street smart NA NA NA #> Smart people NA NA NA #> Albert Einstein NA NA NA #> AI NA NA NA #> professors NA NA NA #> scientists NA NA NA #> data NA NA NA #> computer programming NA NA NA #> memory NA NA NA #> spies NA NA NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA NA NA #> writing NA NA NA #> debates NA NA NA #> mathematics NA NA NA #> Smart NA NA NA #> Brain NA NA NA #> Science NA NA NA #> Genius NA NA NA #> University NA NA NA #> Knowledge NA NA NA #> Books NA NA NA #> Problem solving NA NA NA #> Chess NA NA NA #> Mathematics NA NA NA #> Technology NA NA NA #> Inventions NA NA NA #> Bill Gates NA NA NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA NA NA #> Education NA NA NA #> Grades NA NA NA #> Diploma NA NA NA #> Scholarships NA NA NA #> Logic NA NA NA #> Analysis NA NA NA #> Algorithms Theories Scientific method Experiments #> intelligence NA NA NA NA #> Einstein NA NA NA NA #> books NA NA NA NA #> IQ tests NA NA NA NA #> college NA NA NA NA #> smart people NA NA NA NA #> brain NA NA NA NA #> genius NA NA NA NA #> technology NA NA NA NA #> science NA NA NA NA #> puzzles NA NA NA NA #> knowledge NA NA NA NA #> learning NA NA NA NA #> reading NA NA NA NA #> math NA NA NA NA #> professor NA NA NA NA #> IQ NA NA NA NA #> chess NA NA NA NA #> logic NA NA NA NA #> debate NA NA NA NA #> computer NA NA NA NA #> school NA NA NA NA #> education NA NA NA NA #> grades NA NA NA NA #> university NA NA NA NA #> teacher NA NA NA NA #> problem solving NA NA NA NA #> critical thinking NA NA NA NA #> innovation NA NA NA NA #> coding NA NA NA NA #> intelligence agency NA NA NA NA #> library NA NA NA NA #> study NA NA NA NA #> intelligence quotient NA NA NA NA #> scholarship NA NA NA NA #> academic NA NA NA NA #> history NA NA NA NA #> linguistics NA NA NA NA #> psychology NA NA NA NA #> philosophy NA NA NA NA #> neuroscience NA NA NA NA #> smartwatch NA NA NA NA #> artificial intelligence NA NA NA NA #> research NA NA NA NA #> discoveries NA NA NA NA #> inventions NA NA NA NA #> Mensa NA NA NA NA #> trivia NA NA NA NA #> quantum physics NA NA NA NA #> analytics NA NA NA NA #> strategy games NA NA NA NA #> smart NA NA NA NA #> tests NA NA NA NA #> book smart NA NA NA NA #> brains NA NA NA NA #> wisdom NA NA NA NA #> Stephen Hawking NA NA NA NA #> clever NA NA NA NA #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals NA NA NA NA #> savvy NA NA NA NA #> success NA NA NA NA #> nerd NA NA NA NA #> thinking NA NA NA NA #> comprehension NA NA NA NA #> understanding NA NA NA NA #> creativity NA NA NA NA #> insight NA NA NA NA #> mastery NA NA NA NA #> scholars NA NA NA NA #> expertise NA NA NA NA #> intelligence agencies NA NA NA NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude NA NA NA NA #> scholarships NA NA NA NA #> analysis NA NA NA NA #> competition NA NA NA NA #> strategy NA NA NA NA #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity NA NA NA NA #> observation NA NA NA NA #> quick witted NA NA NA NA #> informed NA NA NA NA #> street smart NA NA NA NA #> Smart people NA NA NA NA #> Albert Einstein NA NA NA NA #> AI NA NA NA NA #> professors NA NA NA NA #> scientists NA NA NA NA #> data NA NA NA NA #> computer programming NA NA NA NA #> memory NA NA NA NA #> spies NA NA NA NA #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills NA NA NA NA #> writing NA NA NA NA #> debates NA NA NA NA #> mathematics NA NA NA NA #> Smart NA NA NA NA #> Brain NA NA NA NA #> Science NA NA NA NA #> Genius NA NA NA NA #> University NA NA NA NA #> Knowledge NA NA NA NA #> Books NA NA NA NA #> Problem solving NA NA NA NA #> Chess NA NA NA NA #> Mathematics NA NA NA NA #> Technology NA NA NA NA #> Inventions NA NA NA NA #> Bill Gates NA NA NA NA #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs NA NA NA NA #> Education NA NA NA NA #> Grades NA NA NA NA #> Diploma NA NA NA NA #> Scholarships NA NA NA NA #> Logic NA NA NA NA #> Analysis NA NA NA NA #> Deduction Attention to detail Multitasking #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA NA NA #> observation NA NA NA #> quick witted NA NA NA #> informed NA NA NA #> street smart NA NA NA #> Smart people NA NA NA #> Albert Einstein NA NA NA #> AI NA NA NA #> professors NA NA NA #> scientists NA NA NA #> data NA NA NA #> computer programming NA NA NA #> memory NA NA NA #> spies NA NA NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA NA NA #> writing NA NA NA #> debates NA NA NA #> mathematics NA NA NA #> Smart NA NA NA #> Brain NA NA NA #> Science NA NA NA #> Genius NA NA NA #> University NA NA NA #> Knowledge NA NA NA #> Books NA NA NA #> Problem solving NA NA NA #> Chess NA NA NA #> Mathematics NA NA NA #> Technology NA NA NA #> Inventions NA NA NA #> Bill Gates NA NA NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA NA NA #> Education NA NA NA #> Grades NA NA NA #> Diploma NA NA NA #> Scholarships NA NA NA #> Logic NA NA NA #> Analysis NA NA NA #> Negotiation Interpersonal skills Teamwork Vision #> intelligence NA NA NA NA #> Einstein NA NA NA NA #> books NA NA NA NA #> IQ tests NA NA NA NA #> college NA NA NA NA #> smart people NA NA NA NA #> brain NA NA NA NA #> genius NA NA NA NA #> technology NA NA NA NA #> science NA NA NA NA #> puzzles NA NA NA NA #> knowledge NA NA NA NA #> learning NA NA NA NA #> reading NA NA NA NA #> math NA NA NA NA #> professor NA NA NA NA #> IQ NA NA NA NA #> chess NA NA NA NA #> logic NA NA NA NA #> debate NA NA NA NA #> computer NA NA NA NA #> school NA NA NA NA #> education NA NA NA NA #> grades NA NA NA NA #> university NA NA NA NA #> teacher NA NA NA NA #> problem solving NA NA NA NA #> critical thinking NA NA NA NA #> innovation NA NA NA NA #> coding NA NA NA NA #> intelligence agency NA NA NA NA #> library NA NA NA NA #> study NA NA NA NA #> intelligence quotient NA NA NA NA #> scholarship NA NA NA NA #> academic NA NA NA NA #> history NA NA NA NA #> linguistics NA NA NA NA #> psychology NA NA NA NA #> philosophy NA NA NA NA #> neuroscience NA NA NA NA #> smartwatch NA NA NA NA #> artificial intelligence NA NA NA NA #> research NA NA NA NA #> discoveries NA NA NA NA #> inventions NA NA NA NA #> Mensa NA NA NA NA #> trivia NA NA NA NA #> quantum physics NA NA NA NA #> analytics NA NA NA NA #> strategy games NA NA NA NA #> smart NA NA NA NA #> tests NA NA NA NA #> book smart NA NA NA NA #> brains NA NA NA NA #> wisdom NA NA NA NA #> Stephen Hawking NA NA NA NA #> clever NA NA NA NA #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals NA NA NA NA #> savvy NA NA NA NA #> success NA NA NA NA #> nerd NA NA NA NA #> thinking NA NA NA NA #> comprehension NA NA NA NA #> understanding NA NA NA NA #> creativity NA NA NA NA #> insight NA NA NA NA #> mastery NA NA NA NA #> scholars NA NA NA NA #> expertise NA NA NA NA #> intelligence agencies NA NA NA NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude NA NA NA NA #> scholarships NA NA NA NA #> analysis NA NA NA NA #> competition NA NA NA NA #> strategy NA NA NA NA #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity NA NA NA NA #> observation NA NA NA NA #> quick witted NA NA NA NA #> informed NA NA NA NA #> street smart NA NA NA NA #> Smart people NA NA NA NA #> Albert Einstein NA NA NA NA #> AI NA NA NA NA #> professors NA NA NA NA #> scientists NA NA NA NA #> data NA NA NA NA #> computer programming NA NA NA NA #> memory NA NA NA NA #> spies NA NA NA NA #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills NA NA NA NA #> writing NA NA NA NA #> debates NA NA NA NA #> mathematics NA NA NA NA #> Smart NA NA NA NA #> Brain NA NA NA NA #> Science NA NA NA NA #> Genius NA NA NA NA #> University NA NA NA NA #> Knowledge NA NA NA NA #> Books NA NA NA NA #> Problem solving NA NA NA NA #> Chess NA NA NA NA #> Mathematics NA NA NA NA #> Technology NA NA NA NA #> Inventions NA NA NA NA #> Bill Gates NA NA NA NA #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs NA NA NA NA #> Education NA NA NA NA #> Grades NA NA NA NA #> Diploma NA NA NA NA #> Scholarships NA NA NA NA #> Logic NA NA NA NA #> Analysis NA NA NA NA #> intellectual discussion mental processes PhD #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA NA NA #> observation NA NA NA #> quick witted NA NA NA #> informed NA NA NA #> street smart NA NA NA #> Smart people NA NA NA #> Albert Einstein NA NA NA #> AI NA NA NA #> professors NA NA NA #> scientists NA NA NA #> data NA NA NA #> computer programming NA NA NA #> memory NA NA NA #> spies NA NA NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA NA NA #> writing NA NA NA #> debates NA NA NA #> mathematics NA NA NA #> Smart NA NA NA #> Brain NA NA NA #> Science NA NA NA #> Genius NA NA NA #> University NA NA NA #> Knowledge NA NA NA #> Books NA NA NA #> Problem solving NA NA NA #> Chess NA NA NA #> Mathematics NA NA NA #> Technology NA NA NA #> Inventions NA NA NA #> Bill Gates NA NA NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA NA NA #> Education NA NA NA #> Grades NA NA NA #> Diploma NA NA NA #> Scholarships NA NA NA #> Logic NA NA NA #> Analysis NA NA NA #> verbal proficiency breakthrough ideas mentors #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA NA NA #> observation NA NA NA #> quick witted NA NA NA #> informed NA NA NA #> street smart NA NA NA #> Smart people NA NA NA #> Albert Einstein NA NA NA #> AI NA NA NA #> professors NA NA NA #> scientists NA NA NA #> data NA NA NA #> computer programming NA NA NA #> memory NA NA NA #> spies NA NA NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA NA NA #> writing NA NA NA #> debates NA NA NA #> mathematics NA NA NA #> Smart NA NA NA #> Brain NA NA NA #> Science NA NA NA #> Genius NA NA NA #> University NA NA NA #> Knowledge NA NA NA #> Books NA NA NA #> Problem solving NA NA NA #> Chess NA NA NA #> Mathematics NA NA NA #> Technology NA NA NA #> Inventions NA NA NA #> Bill Gates NA NA NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA NA NA #> Education NA NA NA #> Grades NA NA NA #> Diploma NA NA NA #> Scholarships NA NA NA #> Logic NA NA NA #> Analysis NA NA NA #> Mastery introspection debate teams #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA NA NA #> observation NA NA NA #> quick witted NA NA NA #> informed NA NA NA #> street smart NA NA NA #> Smart people NA NA NA #> Albert Einstein NA NA NA #> AI NA NA NA #> professors NA NA NA #> scientists NA NA NA #> data NA NA NA #> computer programming NA NA NA #> memory NA NA NA #> spies NA NA NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA NA NA #> writing NA NA NA #> debates NA NA NA #> mathematics NA NA NA #> Smart NA NA NA #> Brain NA NA NA #> Science NA NA NA #> Genius NA NA NA #> University NA NA NA #> Knowledge NA NA NA #> Books NA NA NA #> Problem solving NA NA NA #> Chess NA NA NA #> Mathematics NA NA NA #> Technology NA NA NA #> Inventions NA NA NA #> Bill Gates NA NA NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA NA NA #> Education NA NA NA #> Grades NA NA NA #> Diploma NA NA NA #> Scholarships NA NA NA #> Logic NA NA NA #> Analysis NA NA NA #> cultural intelligence critical discourse #> intelligence NA NA #> Einstein NA NA #> books NA NA #> IQ tests NA NA #> college NA NA #> smart people NA NA #> brain NA NA #> genius NA NA #> technology NA NA #> science NA NA #> puzzles NA NA #> knowledge NA NA #> learning NA NA #> reading NA NA #> math NA NA #> professor NA NA #> IQ NA NA #> chess NA NA #> logic NA NA #> debate NA NA #> computer NA NA #> school NA NA #> education NA NA #> grades NA NA #> university NA NA #> teacher NA NA #> problem solving NA NA #> critical thinking NA NA #> innovation NA NA #> coding NA NA #> intelligence agency NA NA #> library NA NA #> study NA NA #> intelligence quotient NA NA #> scholarship NA NA #> academic NA NA #> history NA NA #> linguistics NA NA #> psychology NA NA #> philosophy NA NA #> neuroscience NA NA #> smartwatch NA NA #> artificial intelligence NA NA #> research NA NA #> discoveries NA NA #> inventions NA NA #> Mensa NA NA #> trivia NA NA #> quantum physics NA NA #> analytics NA NA #> strategy games NA NA #> smart NA NA #> tests NA NA #> book smart NA NA #> brains NA NA #> wisdom NA NA #> Stephen Hawking NA NA #> clever NA NA #> high scores NA NA #> mental NA NA #> intellectuals NA NA #> savvy NA NA #> success NA NA #> nerd NA NA #> thinking NA NA #> comprehension NA NA #> understanding NA NA #> creativity NA NA #> insight NA NA #> mastery NA NA #> scholars NA NA #> expertise NA NA #> intelligence agencies NA NA #> cunning NA NA #> bright NA NA #> aptitude NA NA #> scholarships NA NA #> analysis NA NA #> competition NA NA #> strategy NA NA #> apt brain NA NA #> achievements NA NA #> curiosity NA NA #> observation NA NA #> quick witted NA NA #> informed NA NA #> street smart NA NA #> Smart people NA NA #> Albert Einstein NA NA #> AI NA NA #> professors NA NA #> scientists NA NA #> data NA NA #> computer programming NA NA #> memory NA NA #> spies NA NA #> codes NA NA #> cybersecurity NA NA #> hacking NA NA #> language skills NA NA #> writing NA NA #> debates NA NA #> mathematics NA NA #> Smart NA NA #> Brain NA NA #> Science NA NA #> Genius NA NA #> University NA NA #> Knowledge NA NA #> Books NA NA #> Problem solving NA NA #> Chess NA NA #> Mathematics NA NA #> Technology NA NA #> Inventions NA NA #> Bill Gates NA NA #> Neil deGrasse Tyson NA NA #> Steve Jobs NA NA #> Education NA NA #> Grades NA NA #> Diploma NA NA #> Scholarships NA NA #> Logic NA NA #> Analysis NA NA #> study habits application synthesis lifelong learning #> intelligence NA NA NA NA #> Einstein NA NA NA NA #> books NA NA NA NA #> IQ tests NA NA NA NA #> college NA NA NA NA #> smart people NA NA NA NA #> brain NA NA NA NA #> genius NA NA NA NA #> technology NA NA NA NA #> science NA NA NA NA #> puzzles NA NA NA NA #> knowledge NA NA NA NA #> learning NA NA NA NA #> reading NA NA NA NA #> math NA NA NA NA #> professor NA NA NA NA #> IQ NA NA NA NA #> chess NA NA NA NA #> logic NA NA NA NA #> debate NA NA NA NA #> computer NA NA NA NA #> school NA NA NA NA #> education NA NA NA NA #> grades NA NA NA NA #> university NA NA NA NA #> teacher NA NA NA NA #> problem solving NA NA NA NA #> critical thinking NA NA NA NA #> innovation NA NA NA NA #> coding NA NA NA NA #> intelligence agency NA NA NA NA #> library NA NA NA NA #> study NA NA NA NA #> intelligence quotient NA NA NA NA #> scholarship NA NA NA NA #> academic NA NA NA NA #> history NA NA NA NA #> linguistics NA NA NA NA #> psychology NA NA NA NA #> philosophy NA NA NA NA #> neuroscience NA NA NA NA #> smartwatch NA NA NA NA #> artificial intelligence NA NA NA NA #> research NA NA NA NA #> discoveries NA NA NA NA #> inventions NA NA NA NA #> Mensa NA NA NA NA #> trivia NA NA NA NA #> quantum physics NA NA NA NA #> analytics NA NA NA NA #> strategy games NA NA NA NA #> smart NA NA NA NA #> tests NA NA NA NA #> book smart NA NA NA NA #> brains NA NA NA NA #> wisdom NA NA NA NA #> Stephen Hawking NA NA NA NA #> clever NA NA NA NA #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals NA NA NA NA #> savvy NA NA NA NA #> success NA NA NA NA #> nerd NA NA NA NA #> thinking NA NA NA NA #> comprehension NA NA NA NA #> understanding NA NA NA NA #> creativity NA NA NA NA #> insight NA NA NA NA #> mastery NA NA NA NA #> scholars NA NA NA NA #> expertise NA NA NA NA #> intelligence agencies NA NA NA NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude NA NA NA NA #> scholarships NA NA NA NA #> analysis NA NA NA NA #> competition NA NA NA NA #> strategy NA NA NA NA #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity NA NA NA NA #> observation NA NA NA NA #> quick witted NA NA NA NA #> informed NA NA NA NA #> street smart NA NA NA NA #> Smart people NA NA NA NA #> Albert Einstein NA NA NA NA #> AI NA NA NA NA #> professors NA NA NA NA #> scientists NA NA NA NA #> data NA NA NA NA #> computer programming NA NA NA NA #> memory NA NA NA NA #> spies NA NA NA NA #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills NA NA NA NA #> writing NA NA NA NA #> debates NA NA NA NA #> mathematics NA NA NA NA #> Smart NA NA NA NA #> Brain NA NA NA NA #> Science NA NA NA NA #> Genius NA NA NA NA #> University NA NA NA NA #> Knowledge NA NA NA NA #> Books NA NA NA NA #> Problem solving NA NA NA NA #> Chess NA NA NA NA #> Mathematics NA NA NA NA #> Technology NA NA NA NA #> Inventions NA NA NA NA #> Bill Gates NA NA NA NA #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs NA NA NA NA #> Education NA NA NA NA #> Grades NA NA NA NA #> Diploma NA NA NA NA #> Scholarships NA NA NA NA #> Logic NA NA NA NA #> Analysis NA NA NA NA #> technical skills Learning languages podcasts sudoku #> intelligence NA NA NA NA #> Einstein NA NA NA NA #> books NA NA NA NA #> IQ tests NA NA NA NA #> college NA NA NA NA #> smart people NA NA NA NA #> brain NA NA NA NA #> genius NA NA NA NA #> technology NA NA NA NA #> science NA NA NA NA #> puzzles NA NA NA NA #> knowledge NA NA NA NA #> learning NA NA NA NA #> reading NA NA NA NA #> math NA NA NA NA #> professor NA NA NA NA #> IQ NA NA NA NA #> chess NA NA NA NA #> logic NA NA NA NA #> debate NA NA NA NA #> computer NA NA NA NA #> school NA NA NA NA #> education NA NA NA NA #> grades NA NA NA NA #> university NA NA NA NA #> teacher NA NA NA NA #> problem solving NA NA NA NA #> critical thinking NA NA NA NA #> innovation NA NA NA NA #> coding NA NA NA NA #> intelligence agency NA NA NA NA #> library NA NA NA NA #> study NA NA NA NA #> intelligence quotient NA NA NA NA #> scholarship NA NA NA NA #> academic NA NA NA NA #> history NA NA NA NA #> linguistics NA NA NA NA #> psychology NA NA NA NA #> philosophy NA NA NA NA #> neuroscience NA NA NA NA #> smartwatch NA NA NA NA #> artificial intelligence NA NA NA NA #> research NA NA NA NA #> discoveries NA NA NA NA #> inventions NA NA NA NA #> Mensa NA NA NA NA #> trivia NA NA NA NA #> quantum physics NA NA NA NA #> analytics NA NA NA NA #> strategy games NA NA NA NA #> smart NA NA NA NA #> tests NA NA NA NA #> book smart NA NA NA NA #> brains NA NA NA NA #> wisdom NA NA NA NA #> Stephen Hawking NA NA NA NA #> clever NA NA NA NA #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals NA NA NA NA #> savvy NA NA NA NA #> success NA NA NA NA #> nerd NA NA NA NA #> thinking NA NA NA NA #> comprehension NA NA NA NA #> understanding NA NA NA NA #> creativity NA NA NA NA #> insight NA NA NA NA #> mastery NA NA NA NA #> scholars NA NA NA NA #> expertise NA NA NA NA #> intelligence agencies NA NA NA NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude NA NA NA NA #> scholarships NA NA NA NA #> analysis NA NA NA NA #> competition NA NA NA NA #> strategy NA NA NA NA #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity NA NA NA NA #> observation NA NA NA NA #> quick witted NA NA NA NA #> informed NA NA NA NA #> street smart NA NA NA NA #> Smart people NA NA NA NA #> Albert Einstein NA NA NA NA #> AI NA NA NA NA #> professors NA NA NA NA #> scientists NA NA NA NA #> data NA NA NA NA #> computer programming NA NA NA NA #> memory NA NA NA NA #> spies NA NA NA NA #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills NA NA NA NA #> writing NA NA NA NA #> debates NA NA NA NA #> mathematics NA NA NA NA #> Smart NA NA NA NA #> Brain NA NA NA NA #> Science NA NA NA NA #> Genius NA NA NA NA #> University NA NA NA NA #> Knowledge NA NA NA NA #> Books NA NA NA NA #> Problem solving NA NA NA NA #> Chess NA NA NA NA #> Mathematics NA NA NA NA #> Technology NA NA NA NA #> Inventions NA NA NA NA #> Bill Gates NA NA NA NA #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs NA NA NA NA #> Education NA NA NA NA #> Grades NA NA NA NA #> Diploma NA NA NA NA #> Scholarships NA NA NA NA #> Logic NA NA NA NA #> Analysis NA NA NA NA #> [ reached getOption(\"max.print\") -- omitted 680 rows ] #> #> $cluster_stability #> cluster_1 cluster_2 cluster_3 cluster_4 no_cluster #> cluster_1 NaN NaN NaN NaN NA #> cluster_2 NaN NaN NaN NaN NA #> cluster_3 NaN NaN NaN NaN NA #> cluster_4 NaN NaN NaN NaN NA #> no_cluster NA NA NA NA NA #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Cluster targets — ar_cluster_targets","title":"Cluster targets — ar_cluster_targets","text":"ar_cluster_targets produces target clustering based associatoR object's target embedding.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cluster targets — ar_cluster_targets","text":"","code":"ar_cluster_targets( associations, method = \"louvain\", similarity = \"arccos\", k = NULL, linkage = NULL, eps = NULL, ... )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Cluster targets — ar_cluster_targets","text":"associations associatoR object including target_embeddings. method character specifying clustering method. One c(\"louvain\", \"hclust\", \"kmeans\", \"dbscan\"). Default \"louvain\". similarity character specifying similarity metric. One c(\"arccos\", \"cosine\", \"euclidean\"). Default \"arccos\". k integer specifying number clusters method = c(\"hclust\", \"kmeans\"). linkage character specifying linkage criterion method = c(\"hclust\"). Default \"complete\". eps numeric specifying point distance used method = c(\"dbscan\"). ... additional attributes passed clustering method.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Cluster targets — ar_cluster_targets","text":"function returns associatoR object including new clusters column targets containing target clusters.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Cluster targets — ar_cluster_targets","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_embed_targets() %>% ar_cluster_targets(method = \"louvain\") #> 456 targets with count < min_count were dropped from embedding. #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 2 #> target cluster #> #> 1 intelligence cluster_1 #> 2 Einstein cluster_2 #> 3 books cluster_3 #> 4 IQ tests cluster_1 #> 5 college cluster_3 #> # ℹ 799 more rows #> #> target_embedding #> # A tibble: 348 × 101 #> target dim_1 dim_2 dim_3 dim_4 dim_5 dim_6 dim_7 dim_8 dim_9 #> #> 1 intell… 4.15 0.283 -2.03 3.25 -2.59 0.775 1.67 -0.227 1.28 #> 2 Einste… 1.73 0.462 -0.532 0.209 -4.59 -1.75 2.92 -0.333 -1.55 #> 3 books 11.3 -3.82 -0.507 -22.6 -7.53 8.45 -1.82 4.80 6.00 #> 4 IQ tes… 6.63 -1.50 -7.86 7.63 -2.27 9.65 14.6 4.16 -6.55 #> 5 college 8.24 -6.60 6.98 -7.41 7.06 0.863 8.66 -9.98 -0.438 #> # ℹ 343 more rows #> # ℹ 91 more variables: dim_10 , dim_11 , dim_12 , #> # dim_13 , dim_14 , dim_15 , dim_16 , #> # dim_17 , dim_18 , dim_19 , dim_20 , #> # dim_21 , dim_22 , dim_23 , dim_24 , #> # dim_25 , dim_26 , dim_27 , dim_28 , #> # dim_29 , dim_30 , dim_31 , dim_32 , … #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_embeddings.html","id":null,"dir":"Reference","previous_headings":"","what":"Embedding similarity comparison — ar_compare_embeddings","title":"Embedding similarity comparison — ar_compare_embeddings","text":"ar_compare_embeddings compares embeddings groups using representational similarity analysis","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_embeddings.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Embedding similarity comparison — ar_compare_embeddings","text":"","code":"ar_compare_embeddings( associations, participant_vars, type = \"triangle\", intersection = \"pair\", ... )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_embeddings.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Embedding similarity comparison — ar_compare_embeddings","text":"associations associatoR object including target_embeddings. participant_vars one column names specifying grouping variables embedding comparisons. type character specifying whether compute representational similarity based full \"triangle\" \"row\"-wise. Default \"triangle\". intersection character specifying whether compute representations set targets shared groups (\"\") individual pair (\"pair\"). default (\"pair\"). ... arguments passed ar_embed_targets. arguments specified arguments taken existing target_embedding based default values.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_embeddings.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Embedding similarity comparison — ar_compare_embeddings","text":"function returns table representation similarities.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_embeddings.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Embedding similarity comparison — ar_compare_embeddings","text":"Representational similarity calculated based Spearman correlation cosine similarity matrices extracted embedding specified one grouping factors.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_embeddings.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Embedding similarity comparison — ar_compare_embeddings","text":"","code":"ar_obj = ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_embed_targets() #> 456 targets with count < min_count were dropped from embedding. ar_compare_embeddings(ar_obj, gender) #> # A tibble: 1 × 6 #> group_i group_j targets_i targets_j targets_shared similarity #> #> 1 male female 166 213 107 0.207"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Compare target characteristics between participant groups — ar_compare_targets","title":"Compare target characteristics between participant groups — ar_compare_targets","text":"ar_compare_targets compares target characteristics participant groups taking account target frequencies responses return summary statistics.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compare target characteristics between participant groups — ar_compare_targets","text":"","code":"ar_compare_targets(associations, participant_vars, target_var, fun = mean, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compare target characteristics between participant groups — ar_compare_targets","text":"associations associatoR object containing association data generated ar_import targets defined ar_set_targets. participant_vars variable name vector specifying grouping variables. target_var variable name specifying target variable summarized. fun function specifying statistic calculate target_var, defaults mean. ... additional arguments passed fun","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compare target characteristics between participant groups — ar_compare_targets","text":"Returns tibble containing grouped summaries based fun.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compare target characteristics between participant groups — ar_compare_targets","text":"","code":"# calculate means by using fun = mean and passing na.rm argument to mean() ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_summarize_targets(response_var = response_position) %>% ar_compare_targets(participant_vars = c(gender, education), target_var = response_position, fun = mean, na.rm = TRUE) #> # A tibble: 4 × 3 #> gender education response_position #> #> 1 female high school 2.88 #> 2 female university 2.98 #> 3 male high school 2.90 #> 4 male university 2.97"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_correlate_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Correlate targets responses with participant variables — ar_correlate_targets","title":"Correlate targets responses with participant variables — ar_correlate_targets","text":"ar_correlate_targets calculates correlations response occurrence targets participant variables, gender age.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_correlate_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Correlate targets responses with participant variables — ar_correlate_targets","text":"","code":"ar_correlate_targets(associations, participant_vars, metric = \"auto\")"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_correlate_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Correlate targets responses with participant variables — ar_correlate_targets","text":"associations associatoR object containing association data generated ar_import. participant_vars character vector specifying participant variables assess. variables must exist associations$participants. metric character scalar c(\"auto\", \"point-biserial\", \"phi\", \"cramer\") specifying metric calculate correlation participant_vars targets. Defaults \"auto\".","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_correlate_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Correlate targets responses with participant variables — ar_correlate_targets","text":"Returns associatoR object containing list tibbles, targets gaining correlation column(s): participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes. targets tibble targets including specified analysis target, correlation column(s).","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_correlate_targets.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Correlate targets responses with participant variables — ar_correlate_targets","text":"Function calculates point-biserial correlation numeric Cramer's V categorical participant_vars.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_correlate_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Correlate targets responses with participant variables — ar_correlate_targets","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_correlate_targets(participant_vars = c(education, gender)) #> Joining with `by = join_by(target)` #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 3 #> target education_corr gender_corr #> #> 1 intelligence -0.0417 -0.0139 #> 2 Einstein -0.0950 0.102 #> 3 books -0.0959 0.0511 #> 4 IQ tests 0.0446 0.0446 #> 5 college -0.206 0.00936 #> # ℹ 799 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_count_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Count target occurrences in responses — ar_count_targets","title":"Count target occurrences in responses — ar_count_targets","text":"Append response frequency target targets table associatoR object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_count_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Count target occurrences in responses — ar_count_targets","text":"","code":"ar_count_targets(associations, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_count_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Count target occurrences in responses — ar_count_targets","text":"associations associatoR object containing association data generated ar_import. ... optional logical comparisons filtering responses computing frequencies.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_count_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Count target occurrences in responses — ar_count_targets","text":"Returns associatoR object containing list tibbles, targets gaining frequency column: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes. targets tibble targets including column `frequency` containing counts target responses.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_count_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Count target occurrences in responses — ar_count_targets","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_count_targets() #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 2 #> target frequency #> #> 1 intelligence 52 #> 2 Einstein 102 #> 3 books 114 #> 4 IQ tests 65 #> 5 college 50 #> # ℹ 799 more rows #> ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_count_targets(response_position == 1) #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 2 #> target frequency #> #> 1 intelligence 14 #> 2 Einstein 68 #> 3 books 48 #> 4 IQ tests 25 #> 5 college 8 #> # ℹ 799 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cross_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Create participant-targets cross tables — ar_cross_targets","title":"Create participant-targets cross tables — ar_cross_targets","text":"ar_cross_targets creates tables counting targets among responses, combination participant varable groups seperately.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cross_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create participant-targets cross tables — ar_cross_targets","text":"","code":"ar_cross_targets(associations, participant_vars, target_var, normalize = FALSE)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cross_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create participant-targets cross tables — ar_cross_targets","text":"associations associatoR object containing association data generated ar_import targets defined ar_set_targets. participant_vars variable name vector specifying participant varables group counts . target_var variable name specifying targets variable group counts . normalize logical scalar, indicating counts normalized participant varable groups. Defaults FALSE.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cross_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create participant-targets cross tables — ar_cross_targets","text":"Returns tibble containing grouped counts, grouped counts normalized within participant variable groups normalize = TRUE.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cross_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create participant-targets cross tables — ar_cross_targets","text":"","code":"# one participant variable, no normalization ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_embed_targets() %>% ar_cluster_targets() %>% ar_cross_targets(participant_vars = gender, target_var = cluster) #> 456 targets with count < min_count were dropped from embedding. #> # A tibble: 10 × 3 #> gender cluster n #> #> 1 female cluster_1 1525 #> 2 female cluster_2 1127 #> 3 female cluster_3 1371 #> 4 female cluster_4 1100 #> 5 female no_cluster 1456 #> 6 male cluster_1 1163 #> 7 male cluster_2 1764 #> 8 male cluster_3 965 #> 9 male cluster_4 833 #> 10 male no_cluster 1331 # two participant variables, normalized ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_embed_targets() %>% ar_cluster_targets() %>% ar_cross_targets(participant_vars = c(gender, education), target_var = cluster, normalize = TRUE) #> 456 targets with count < min_count were dropped from embedding. #> # A tibble: 20 × 4 #> gender education cluster proportion #> #> 1 female high school cluster_1 0.142 #> 2 female high school cluster_2 0.165 #> 3 female high school cluster_3 0.300 #> 4 female high school cluster_4 0.176 #> 5 female high school no_cluster 0.217 #> 6 female university cluster_1 0.130 #> 7 female university cluster_2 0.156 #> 8 female university cluster_3 0.225 #> 9 female university cluster_4 0.262 #> 10 female university no_cluster 0.226 #> 11 male high school cluster_1 0.137 #> 12 male high school cluster_2 0.275 #> 13 male high school cluster_3 0.242 #> 14 male high school cluster_4 0.118 #> 15 male high school no_cluster 0.228 #> 16 male university cluster_1 0.139 #> 17 male university cluster_2 0.298 #> 18 male university cluster_3 0.184 #> 19 male university cluster_4 0.169 #> 20 male university no_cluster 0.210"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_embed_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Embed associations — ar_embed_targets","title":"Embed associations — ar_embed_targets","text":"ar_embed_targets generates target embeddings.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_embed_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Embed associations — ar_embed_targets","text":"","code":"ar_embed_targets( associations, method = \"ppmi-svd\", min_count = 5, n_dim = 100, model = NULL, token = NULL, context = NULL )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_embed_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Embed associations — ar_embed_targets","text":"associations associatoR object including targets. method character specifying type embedding. One c(\"counts\",\"ppmi\",\"ppmi-svd\",\"huggingface\"). Default \"ppmi-svd\". min_count integer value specifying minimum response count responses considered embedding method = c(\"counts\",\"ppmi\",\"ppmi-svd\"). Default 5. n_dim integer value specifying number dimensions generated method = \"ppmi-svd\". Default 300. model character specifying model label. Must match name huggingface.co/models. token character string specifying access token hugging face API. Must obtained huggingface.co/inference-api. context optional character string specifying common lead text may help language model interpret associations. Defaults \"Free association: \"","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_embed_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Embed associations — ar_embed_targets","text":"function returns associatoR object including new matrix element called target_embeddings containing target embeddings.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_embed_targets.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Embed associations — ar_embed_targets","text":"Aeschbach, S., Mata, R., Wulff, D. U. (2024). associatoR. psyArXiv","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_embed_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Embed associations — ar_embed_targets","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_embed_targets() #> 456 targets with count < min_count were dropped from embedding. #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 1 #> target #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> target_embedding #> # A tibble: 348 × 101 #> target dim_1 dim_2 dim_3 dim_4 dim_5 dim_6 dim_7 dim_8 dim_9 #> #> 1 intell… 4.15 0.283 -2.03 3.25 -2.59 0.775 1.67 -0.227 1.28 #> 2 Einste… 1.73 0.462 -0.532 0.209 -4.59 -1.75 2.92 -0.333 -1.55 #> 3 books 11.3 -3.82 -0.507 -22.6 -7.53 8.45 -1.82 4.80 6.00 #> 4 IQ tes… 6.63 -1.50 -7.86 7.63 -2.27 9.65 14.6 4.16 -6.55 #> 5 college 8.24 -6.60 6.98 -7.41 7.06 0.863 8.66 -9.98 -0.438 #> # ℹ 343 more rows #> # ℹ 91 more variables: dim_10 , dim_11 , dim_12 , #> # dim_13 , dim_14 , dim_15 , dim_16 , #> # dim_17 , dim_18 , dim_19 , dim_20 , #> # dim_21 , dim_22 , dim_23 , dim_24 , #> # dim_25 , dim_26 , dim_27 , dim_28 , #> # dim_29 , dim_30 , dim_31 , dim_32 , … #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_export_all.html","id":null,"dir":"Reference","previous_headings":"","what":"Join all associatoR tibbles into one — ar_export_all","title":"Join all associatoR tibbles into one — ar_export_all","text":"Join associatoR tibbles one","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_export_all.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Join all associatoR tibbles into one — ar_export_all","text":"","code":"ar_export_all(associations)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_export_all.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Join all associatoR tibbles into one — ar_export_all","text":"associations associatoR object containing association data generated ar_import.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_export_all.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Join all associatoR tibbles into one — ar_export_all","text":"tibble containing joined data associations.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_import.html","id":null,"dir":"Reference","previous_headings":"","what":"Import association data — ar_import","title":"Import association data — ar_import","text":"ar_import processes tabular association data associatoR object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_import.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Import association data — ar_import","text":"","code":"ar_import( data, participant, cue, response, participant_vars = NULL, cue_vars = NULL, response_vars = NULL )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_import.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Import association data — ar_import","text":"data data.frame tibble containing association data. participant variable name data identifying participants. cue variable name data character string identifying cue(s). response variable name data identifying responses. participant_vars optional variable names data identifying participant attributes (e.g., demographics). cue_vars optional variable names data identifying cue attributes. response_vars optional variable names data identifying response attributes.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_import.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Import association data — ar_import","text":"Returns associatoR object containing list tibbles: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_import.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Import association data — ar_import","text":"Aeschbach, S., Mata, R., Wulff, D. U. (progress)","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_import.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Import association data — ar_import","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize.html","id":null,"dir":"Reference","previous_headings":"","what":"Normalize responses — ar_normalize","title":"Normalize responses — ar_normalize","text":"ar_normalize performs normalization steps responses (cues) wraps around ar_normalize_manual.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Normalize responses — ar_normalize","text":"","code":"ar_normalize( associations, case = \"most_frequent\", punct = \"end\", punct_replacement = \" \", whitespace = \"squish\", process_cues = TRUE )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Normalize responses — ar_normalize","text":"associations associatoR object containing association data generated ar_import. case character specifying normalization cases NULL change casing. Must one c(\"lower\", \"upper\", \"sentence\", \"most_frequent\") NULL. Setting case = \"lower\" normalizes responses lower case, case = \"lower\" upper case, case = \"sentence\" sentence case, case = \"most_frequent\" frequent casing string. punct character specifying normalization punctuationor NULL change punctuation. Must one c(\"end\", \"\") NULL. punct = \"end\" replaces punctuation end (including following whitespaces) punct_replacement (default single white space). punct = \"\" replaces punctuation. punct_replacement character used replacement punctuation. whitespace character specifying normalization white spaces NULL change whitespace. Must one c(\"squish\", \"trim\") NULL. Setting whitespace = \"squish\" removes additional white spaces start, end, -words, whereas setting whitespace = \"trim\" removes white space start end. process_cues logical specifying, cues processed well. Defaults TRUE.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Normalize responses — ar_normalize","text":"Returns associatoR object containing list tibbles: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Normalize responses — ar_normalize","text":"Aeschbach, S., Mata, R., Wulff, D. U. (progress)","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Normalize responses — ar_normalize","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_normalize(case = \"lower\", punct = \"all\") #> 197 entries were dropped from cues due to normalizing. #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 607 × 2 #> cue cue_original #> #> 1 intelligence intelligence #> 2 einstein Einstein #> 3 books books #> 4 iq tests IQ tests #> 5 college college #> # ℹ 602 more rows #> #> responses #> # A tibble: 29,882 × 7 #> id cue response response_position response_level cue_original #> #> 1 1 intelligence einstein 1 1 intelligence #> 2 1 intelligence books 2 1 intelligence #> 3 1 intelligence iq tests 3 1 intelligence #> 4 1 intelligence college 4 1 intelligence #> 5 1 intelligence smart people 5 1 intelligence #> # ℹ 29,877 more rows #> # ℹ 1 more variable: response_original #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_dict.html","id":null,"dir":"Reference","previous_headings":"","what":"Normalize responses using dictionary — ar_normalize_dict","title":"Normalize responses using dictionary — ar_normalize_dict","text":"ar_normalize_dict offers interface normalization responses (cues) associatoR objects based dictionary.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_dict.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Normalize responses using dictionary — ar_normalize_dict","text":"","code":"ar_normalize_dict(associations, dictionary, ..., process_cues = FALSE)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_dict.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Normalize responses using dictionary — ar_normalize_dict","text":"associations associatoR object containing association data generated ar_import. process_cues logical indicating cues processed (.e. changed fun) . dict data.frame consisting two columns named c(\"old\",\"new\").","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_dict.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Normalize responses using dictionary — ar_normalize_dict","text":"Returns associatoR object containing list tibbles: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes. responses passed fun","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_dict.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Normalize responses using dictionary — ar_normalize_dict","text":"Aeschbach, S., Mata, R., Wulff, D. U. (progress)","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_dict.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Normalize responses using dictionary — ar_normalize_dict","text":"","code":"dict <- data.frame(old = c(\"intelligence\", \"iq\"), new = c(\"Intelligence\", \"IQ\")) ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_normalize_dict(dict) #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 6 #> id cue response response_position response_level response_orig #> #> 1 1 intelligence Einstein 1 1 Einstein #> 2 1 intelligence books 2 1 books #> 3 1 intelligence IQ tests 3 1 IQ tests #> 4 1 intelligence college 4 1 college #> 5 1 intelligence smart people 5 1 smart people #> # ℹ 29,877 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_manual.html","id":null,"dir":"Reference","previous_headings":"","what":"Normalize responses manually — ar_normalize_manual","title":"Normalize responses manually — ar_normalize_manual","text":"ar_normalize_manual offers interface add self-defined normalization steps responses (cues) associatoR objects.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_manual.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Normalize responses manually — ar_normalize_manual","text":"","code":"ar_normalize_manual(associations, fun, ..., process_cues = FALSE)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_manual.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Normalize responses manually — ar_normalize_manual","text":"associations associatoR object containing association data generated ar_import. fun vectorized function applied responses cues response matrix, excluding cues exist . ... additional arguments passed fun. process_cues logical indicating cues processed (.e. changed fun) .","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_manual.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Normalize responses manually — ar_normalize_manual","text":"Returns associatoR object containing list tibbles: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes. responses passed fun","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_manual.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Normalize responses manually — ar_normalize_manual","text":"Aeschbach, S., Mata, R., Wulff, D. U. (progress)","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_manual.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Normalize responses manually — ar_normalize_manual","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_normalize_manual(trimws, which = \"left\") #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 6 #> id cue response response_position response_level response_original #> #> 1 1 intelligence Einstein 1 1 Einstein #> 2 1 intelligence books 2 1 books #> 3 1 intelligence IQ tests 3 1 IQ tests #> 4 1 intelligence college 4 1 college #> 5 1 intelligence smart p… 5 1 smart people #> # ℹ 29,877 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_embedding.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot embedding — ar_plot_embedding","title":"Plot embedding — ar_plot_embedding","text":"Generate two dimensional plot associatoR object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_embedding.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot embedding — ar_plot_embedding","text":"","code":"ar_plot_embedding( associations, color_by = NULL, color_set = \"G\", alpha = 0.5, proportion_labels = 1, ... )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_embedding.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot embedding — ar_plot_embedding","text":"associations associatoR object containing association data generated ar_import targets defined ar_set_targets. color_by name variable generate column facets . color_set character string specifying color set. One c(\"\",\"B\",\"C\",\"D\",\"E\",\"F\",\"G\",\"H\"). See scale_color_viridis_d. alpha numeric value 0 1 specifying transparency points. Default .5. proportion_labels numeric value 0 1 specifying proportion labels shown plot. Values smaller 1 omit 1-proportion_labels labels lower frequency targets. ... optional arguments passed geom_text_repel.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_embedding.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot embedding — ar_plot_embedding","text":"Returns ggplot plot object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_embedding.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot embedding — ar_plot_embedding","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(\"cues\") %>% ar_embed_targets() %>% ar_cluster_targets() %>% ar_project_embedding() %>% ar_plot_embedding(color_by = cluster, proportion_labels = .5) #> 456 targets with count < min_count were dropped from embedding. #> Warning: ggrepel: 10 unlabeled data points (too many overlaps). Consider increasing max.overlaps"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_wordcloud.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot word clouds — ar_plot_wordcloud","title":"Plot word clouds — ar_plot_wordcloud","text":"Generate word cloud plots response frequencies associatoR object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_wordcloud.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot word clouds — ar_plot_wordcloud","text":"","code":"ar_plot_wordcloud( associations, facet_col = cluster, facet_row = NULL, color_by = cluster, top_n = 30, ... )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_wordcloud.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot word clouds — ar_plot_wordcloud","text":"associations associatoR object containing association data generated ar_import targets defined ar_set_targets. facet_col name variable generate column facets . facet_row name variable generate row facets . color_by name variable used color words. top_n integer value specifying number highest frequency words display. ... optional arguments passed geom_text_wordcloud.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_wordcloud.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot word clouds — ar_plot_wordcloud","text":"Returns ggplot plot object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_wordcloud.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot word clouds — ar_plot_wordcloud","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(\"cues\") %>% ar_plot_wordcloud(facet_col = gender, top_n = 10, color_by = NULL)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_project_embedding.html","id":null,"dir":"Reference","previous_headings":"","what":"Project embeddings — ar_project_embedding","title":"Project embeddings — ar_project_embedding","text":"ar_project generates 2D projection target embedding.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_project_embedding.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Project embeddings — ar_project_embedding","text":"","code":"ar_project_embedding(associations, method = \"umap\", n_dim = 2, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_project_embedding.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Project embeddings — ar_project_embedding","text":"associations associatoR object including targets. method character specifying type projection. One c(\"pca\", \"mds\", \"umap\"). Default \"umap\". n_dim integer specifying number projection dimensions. Default 2. ... additional parguments passed projection method.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_project_embedding.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Project embeddings — ar_project_embedding","text":"function returns associatoR object target_embeddings overwritten projected embeddings.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_project_embedding.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Project embeddings — ar_project_embedding","text":"Aeschbach, S., Mata, R., Wulff, D. U. (2024). associatoR. psyArXiv","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_project_embedding.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Project embeddings — ar_project_embedding","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_embed_targets() %>% ar_project_embedding() #> 456 targets with count < min_count were dropped from embedding. #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 1 #> target #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> target_embedding #> # A tibble: 348 × 3 #> target dim_1 dim_2 #> #> 1 intelligence -1.05 -0.327 #> 2 Einstein 0.293 -0.555 #> 3 books 0.926 0.0493 #> 4 IQ tests -2.35 0.0617 #> 5 college 1.89 -0.580 #> # ℹ 343 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_set_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Set analysis targets — ar_set_targets","title":"Set analysis targets — ar_set_targets","text":"ar_set_target defines analysis targets (cues /responses).","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_set_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set analysis targets — ar_set_targets","text":"","code":"ar_set_targets(associations, targets = c(\"cues\", \"responses\"))"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_set_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set analysis targets — ar_set_targets","text":"associations associatoR object containing association data generated ar_import. targets character containing either one c(\"cues\",\"responses\") gather targets columns vector manually selected targets.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_set_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set analysis targets — ar_set_targets","text":"Returns associatoR object containing list tibbles: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes. targets tibble targets including specified analysis target","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_set_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set analysis targets — ar_set_targets","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 1 #> target #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_subset.html","id":null,"dir":"Reference","previous_headings":"","what":"Subset associations — ar_subset","title":"Subset associations — ar_subset","text":"Subset associatoR object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_subset.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subset associations — ar_subset","text":"","code":"ar_subset(associations, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_subset.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subset associations — ar_subset","text":"associations associatoR object containing association data generated ar_import. ... optional logical comparisons filtering participants, cues, responses. Multiple filter arguments combined logic.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_subset.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subset associations — ar_subset","text":"Returns associatoR object containing list tibbles: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_subset.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Subset associations — ar_subset","text":"Note ar_subset() resets associatoR object. Potential targets target_embedding tibbles removed added using ar_set_targets.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_subset.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subset associations — ar_subset","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_subset(gender == \"female\", education == \"high school\") #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 250 × 3 #> id gender education #> #> 1 501 female high school #> 2 502 female high school #> 3 503 female high school #> 4 504 female high school #> 5 505 female high school #> # ℹ 245 more rows #> #> cues #> # A tibble: 400 × 1 #> cue #> #> 1 intelligence #> 2 Smart #> 3 education #> 4 books #> 5 genius #> # ℹ 395 more rows #> #> responses #> # A tibble: 7,470 × 5 #> id cue response response_position response_level #> #> 1 501 intelligence Smart 1 1 #> 2 501 intelligence education 2 1 #> 3 501 intelligence books 3 1 #> 4 501 intelligence genius 4 1 #> 5 501 intelligence Albert Einstein 5 1 #> # ℹ 7,465 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_summarize_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Add response variable summaries to targets — ar_summarize_targets","title":"Add response variable summaries to targets — ar_summarize_targets","text":"Add response variable summaries targets","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_summarize_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add response variable summaries to targets — ar_summarize_targets","text":"","code":"ar_summarize_targets(associations, response_var, fun = mean, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_summarize_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add response variable summaries to targets — ar_summarize_targets","text":"associations associatoR object containing association data generated ar_import. response_var variable responses tibble associatoR object. fun function used summarize response_vars target, defaults mean. ... additional parameters passed fun.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_summarize_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add response variable summaries to targets — ar_summarize_targets","text":"Returns associatoR object targets gains additional column including target summary calculated responses table's response_var using fun.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_summarize_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add response variable summaries to targets — ar_summarize_targets","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_summarize_targets(response_position, fun = median) #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 2 #> target response_position #> #> 1 intelligence 2 #> 2 Einstein 1 #> 3 books 2 #> 4 IQ tests 2 #> 5 college 4 #> # ℹ 799 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_export.html","id":null,"dir":"Reference","previous_headings":"","what":"Export wordlist — ar_wordlist_export","title":"Export wordlist — ar_wordlist_export","text":"ar_wordlist_export() exports table responses manual spelling correction.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_export.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Export wordlist — ar_wordlist_export","text":"","code":"ar_wordlist_export( associations, file = \"wordlist_correction.csv\", check_spelling = TRUE, check_acronym = TRUE )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_export.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Export wordlist — ar_wordlist_export","text":"associations associatoR object containing association data generated ar_import. file character string specifying filename including folders. Default \"wordlist_correction.csv\". check_spelling logical specifying whether include column identifying likely mispelled words based spell_check_text. Note currently spell check works English associations. Default TRUE. check_acronyms character specifying whether include columns identifying potential acronyms. Acronyms identified two first. First, responses checked Wikipedia list (\"https://en.wikipedia.org/wiki/Lists_of_acronyms\"). Matching original lower-case responses triggers \"likely acronym\" \"potentially acronym\". matched acronym spelled additional column named acronym_candidate. Second, simple acronym detection based letter casing also triggers \"likely acronym\" produce values acronym_candidate. Default TRUE.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_export.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Export wordlist — ar_wordlist_export","text":"Writes .CSV file containing list unique responses plus additional information.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_export.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Export wordlist — ar_wordlist_export","text":"Aeschbach, S., Mata, R., Wulff, D. U. (preparation)","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_export.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Export wordlist — ar_wordlist_export","text":"","code":"ar_obj = ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_normalize_manual(trimws, which = \"left\") ar_wordlist_export(ar_obj)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_import.html","id":null,"dir":"Reference","previous_headings":"","what":"Import wordlist — ar_wordlist_import","title":"Import wordlist — ar_wordlist_import","text":"ar_wordlist_import() import table responses manual spelling correction.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_import.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Import wordlist — ar_wordlist_import","text":"","code":"ar_wordlist_import( associations, file = \"wordlist_correction.csv\", process_cues = TRUE, na = c(\"NA\") )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_import.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Import wordlist — ar_wordlist_import","text":"associations associatoR object containing association data generated ar_import. file character string specifying filename containing file spelling correction table exported ar_wordlist_export. Must .CSV file contain columns c(\"response\", \"response_correct\"). Default name \"wordlist_correction.csv\". process_cues logical indicating cues processed (.e. changed fun) . na character vector indicating values signifying invalid values. Devaults c(\"NA\").","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_import.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Import wordlist — ar_wordlist_import","text":"Writes .CSV file containing list unique responses plus additional information.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_import.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Import wordlist — ar_wordlist_import","text":"Aeschbach, S., Mata, R., Wulff, D. U. (preparation)","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_import.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Import wordlist — ar_wordlist_import","text":"","code":"ar_obj = ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_normalize_manual(trimws, which = \"left\") ar_wordlist_import(ar_obj) #> Error in mutate_all(., function(x) { if (all(is.na(x))) x = \"\" x}): could not find function \"mutate_all\""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_write_csv.html","id":null,"dir":"Reference","previous_headings":"","what":"Write a csv file — ar_write_csv","title":"Write a csv file — ar_write_csv","text":"ar_write_csv() joins data associatoR object (except potential target embedding) one table writes table disk using write_csv.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_write_csv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Write a csv file — ar_write_csv","text":"","code":"ar_write_csv(associations, file, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_write_csv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Write a csv file — ar_write_csv","text":"associations associatoR object containing association data generated ar_import. file character write . ... optional arguments passed readr::write_csv()","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_write_csv.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Write a csv file — ar_write_csv","text":"ar_write_csv() returns joined associations tibble invisibly.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_write_csv.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Write a csv file — ar_write_csv","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_write_csv(file = \"intelligence.csv\")"},{"path":"http://samuelaeschbach.com/associatoR/reference/intelligence.html","id":null,"dir":"Reference","previous_headings":"","what":"GPT-4-generated free associations to 'intelligence' — intelligence","title":"GPT-4-generated free associations to 'intelligence' — intelligence","text":"data set free associations generated GPT-4. data set includes free associations cue word 'intelligence' (response_level == 1), well associations responses participant (response_level == 2). data set includes two participant covariables (gender education) simulated using respective system prompt generating data OpenAI's GPT-4.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/intelligence.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GPT-4-generated free associations to 'intelligence' — intelligence","text":"","code":"intelligence"},{"path":"http://samuelaeschbach.com/associatoR/reference/intelligence.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"GPT-4-generated free associations to 'intelligence' — intelligence","text":"`intelligence`: tibble 29,820 rows 7 coulumns: participant_id Unique id participant. gender Gender participant. education Education level participant cue Cue word trial. response Response given participant trial. response_position Position response given (1. response cue, 2. response cue, etc.). response_level Response level trial. (1: first-level response cue 'intelligence', 2: second-level response first-level responses participant cue).","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/intelligence.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"GPT-4-generated free associations to 'intelligence' — intelligence","text":"https://doi.org","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/intelligence.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"GPT-4-generated free associations to 'intelligence' — intelligence","text":"Inspect use data calling intelligence R session.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/intelligence.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"GPT-4-generated free associations to 'intelligence' — intelligence","text":"Aeschbach, S., Mata, R., Wulff, D. U. (preparation). associatoR.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/pipe.html","id":null,"dir":"Reference","previous_headings":"","what":"Pipe operator — %>%","title":"Pipe operator — %>%","text":"See magrittr::%>% details.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/pipe.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pipe operator — %>%","text":"","code":"lhs %>% rhs"},{"path":"http://samuelaeschbach.com/associatoR/reference/pipe.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pipe operator — %>%","text":"lhs value magrittr placeholder. rhs function call using magrittr semantics.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/pipe.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pipe operator — %>%","text":"result calling `rhs(lhs)`.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/plot.associatoR.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot associations — plot.associatoR","title":"Plot associations — plot.associatoR","text":"Generate plot associatoR object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/plot.associatoR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot associations — plot.associatoR","text":"","code":"# S3 method for associatoR plot(associations, facet_by = NULL, top_n = 5, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/plot.associatoR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot associations — plot.associatoR","text":"associations associatoR object containing association data generated ar_import targets defined ar_set_targets. facet_by character vector variable names generate facets. top_n numeric scalar ... optional logical comparisons filter responses computing frequencies.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/plot.associatoR.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot associations — plot.associatoR","text":"Returns ggplot plot object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/plot.associatoR.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot associations — plot.associatoR","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(\"cues\") %>% plot(facets = \"gender\", top_n = 10) #> Error in dplyr::filter(., !!!filters): We detected a named input. #> ℹ This usually means that you've used `=` instead of `==`. #> ℹ Did you mean `facets == \"gender\"`? ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(\"cues\") %>% plot(facets = \"education\", top_n = 10, gender == \"female\") #> Error: object 'gender' not found"},{"path":"http://samuelaeschbach.com/associatoR/reference/print.associatoR.html","id":null,"dir":"Reference","previous_headings":"","what":"Generic print for class associatoR — print.associatoR","title":"Generic print for class associatoR — print.associatoR","text":"Generic print class associatoR","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/print.associatoR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generic print for class associatoR — print.associatoR","text":"","code":"# S3 method for associatoR print(x, n = 5, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/print.associatoR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generic print for class associatoR — print.associatoR","text":"x object class associatoR n (optional) use print(n = ) show rows tibble. ... additional arguments passed print()","code":""}] +[{"path":"http://samuelaeschbach.com/associatoR/authors.html","id":null,"dir":"","previous_headings":"","what":"Authors","title":"Authors and Citation","text":"Samuel Aeschbach. Author, maintainer. Dirk U. Wulff. Author. Rui Mata. Contributor.","code":""},{"path":"http://samuelaeschbach.com/associatoR/authors.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Authors and Citation","text":"Aeschbach S, Wulff DU (2024). associatoR: Analyzing free associations. R package version 0.1.0.9, https://CRAN.R-project.org/package=associatoR.","code":"@Manual{, title = {associatoR: Analyzing free associations}, author = {Samuel Aeschbach and Dirk U. Wulff}, year = {2024}, note = {R package version 0.1.0.9}, url = {https://CRAN.R-project.org/package=associatoR}, }"},{"path":"http://samuelaeschbach.com/associatoR/index.html","id":"associator","dir":"","previous_headings":"","what":"Analyzing free associations","title":"Analyzing free associations","text":"Associations offer window mind, revealing words, concepts, topics represented. can used map humans artificial intelligence think key social technological issues. associatoR R package analyzing free association data. covers entire analysis pipeline, importing processing embedding, clustering, visualizing data.","code":""},{"path":"http://samuelaeschbach.com/associatoR/index.html","id":"team","dir":"","previous_headings":"","what":"Team","title":"Analyzing free associations","text":"associatoR package developed Samuel Aeschbach Dirk U. Wulff, contributions Rui Mata.","code":""},{"path":"http://samuelaeschbach.com/associatoR/index.html","id":"installation","dir":"","previous_headings":"","what":"Installation","title":"Analyzing free associations","text":"latest development version GitHub can installed via devtools::install_github(\"samuelae/associatoR\"). may require prior installation devtools package via install.packages(\"devtools\").","code":""},{"path":"http://samuelaeschbach.com/associatoR/index.html","id":"citation","dir":"","previous_headings":"","what":"Citation","title":"Analyzing free associations","text":"Please cite package : Aeschbach, S., Mata, R., & Wulff, D. U. (2024, March 22). Mapping Mind Free Associations: Tutorial Using R Package associatoR. https://doi.org/10.31234/osf.io/ra87s","code":""},{"path":"http://samuelaeschbach.com/associatoR/index.html","id":"overview","dir":"","previous_headings":"","what":"Overview","title":"Analyzing free associations","text":"Figure provides overview functionality associatoR package based example presented Aeschbach, Mata, & Wulff (2024).","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_characterize_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Characterize targets using additional resources — ar_characterize_targets","title":"Characterize targets using additional resources — ar_characterize_targets","text":"Append target characteristics targets table associatoR object. Use pre-defined characteristics psycho-linguistic research supply data.frame user-defined look-table.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_characterize_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Characterize targets using additional resources — ar_characterize_targets","text":"","code":"ar_characterize_targets( associations, characteristics = c(\"valence\", \"arousal\", \"dominance\", \"concreteness\", \"word_frequency\"), case_sensitive = FALSE )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_characterize_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Characterize targets using additional resources — ar_characterize_targets","text":"associations associatoR object containing association data generated ar_import. characteristics character string vector specifying characteristic(s) containing one c(\"valence\", \"arousal\", \"dominance\", \"concreteness\", \"word_frequency\") data.frame containing characteristics. data.frame must contain column word serve look key may contain additional columns word characteristics. case_sensitive logical specifying whether case targets. Default FALSE.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_characterize_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Characterize targets using additional resources — ar_characterize_targets","text":"Returns associatoR object containing list tibbles, targets gaining additional columns including target characteristics: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes. targets tibble targets including specified analysis targets, word characteristics","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_characterize_targets.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Characterize targets using additional resources — ar_characterize_targets","text":"Data valence, arousal, dominance retrieved Warriner et al. (2013). Concreteness word frequency data retrieved Brysbaert et al. (2014).","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_characterize_targets.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Characterize targets using additional resources — ar_characterize_targets","text":"Warriner, . B., Kuperman, V., & Brysbaert, M. (2013). Norms valence, arousal, dominance 13,915 English lemmas. Behavior Research Methods, 45(4), 1191–1207. https://doi.org/10.3758/s13428-012-0314-x Brysbaert, M., Warriner, . B., & Kuperman, V. (2014). Concreteness ratings 40 thousand generally known English word lemmas. Behavior Research Methods, 46(3), 904–911. https://doi.org/10.3758/s13428-013-0403-5","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_characterize_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Characterize targets using additional resources — ar_characterize_targets","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_characterize_targets() #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 6 #> target valence arousal dominance concreteness word_frequency #> #> 1 intelligence 7.65 6.32 6.72 2.24 983 #> 2 Einstein NA NA NA NA NA #> 3 books NA NA NA NA NA #> 4 IQ tests NA NA NA NA NA #> 5 college 6.44 4 5.89 4.62 4344 #> # ℹ 799 more rows #> ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_characterize_targets(characteristics = data.frame(word = c(\"intelligence\", \"brain\"), message = c(\"Hello\", \"World\"))) #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 2 #> target message #> #> 1 intelligence Hello #> 2 Einstein NA #> 3 books NA #> 4 IQ tests NA #> 5 college NA #> # ℹ 799 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_stability.html","id":null,"dir":"Reference","previous_headings":"","what":"Cluster stability — ar_cluster_stability","title":"Cluster stability — ar_cluster_stability","text":"ar_cluster_stability evaluates stability clustering generated ar_cluster_targets()","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_stability.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cluster stability — ar_cluster_stability","text":"","code":"ar_cluster_stability(associations, n_boot = 1000, unique = TRUE)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_stability.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Cluster stability — ar_cluster_stability","text":"associations associatoR object including target_embeddings. n_boot integer specifying number bootstrap samples draw. Default 1000. unique logical specifying whether targets duplicates bootstrap samples ignored. Default TRUE.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_stability.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Cluster stability — ar_cluster_stability","text":"function returns list containing two matrices target- (target_stability) cluster-wise (cluster_stability) probabilities assigned cluster random pertubation.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_stability.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Cluster stability — ar_cluster_stability","text":"Clustering stability calculated identical clustering settings (e.g., clustering algorithm, similarity function, etc.) used generate original cluster assignment. information stored attribute targets table name \"cluster_settings\".","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_stability.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Cluster stability — ar_cluster_stability","text":"","code":"ar_obj = ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_embed_targets() %>% ar_cluster_targets(method = \"louvain\") #> 456 targets with count < min_count were dropped from embedding. # in productive use, n_boot should be set higher, defaults to 1000 ar_cluster_stability(ar_obj, n_boot = 10) #> $target_stability #> intelligence Einstein books IQ tests college #> intelligence 1.0000000 0.1666667 0.0000000 1.0000000 0.0000000 #> Einstein 0.1666667 1.0000000 0.0000000 0.2500000 0.0000000 #> books 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> IQ tests 1.0000000 0.2500000 0.0000000 1.0000000 0.0000000 #> college 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> smart people 0.0000000 0.5000000 0.0000000 0.0000000 NaN #> brain 0.6250000 0.4000000 0.0000000 0.6000000 0.0000000 #> genius 0.0000000 0.5000000 0.0000000 0.0000000 0.0000000 #> technology 0.0000000 0.6666667 0.0000000 0.0000000 0.0000000 #> science 0.0000000 0.6000000 0.0000000 0.0000000 0.0000000 #> puzzles 0.9000000 0.1666667 0.0000000 0.8571429 0.0000000 #> knowledge 0.5000000 0.0000000 0.4000000 0.3333333 0.6666667 #> learning 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> reading 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> math 0.1666667 0.3333333 0.8333333 0.1666667 1.0000000 #> professor 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> IQ 1.0000000 0.2500000 0.0000000 1.0000000 0.0000000 #> chess 0.8888889 0.3333333 0.0000000 0.8333333 0.0000000 #> logic 0.7142857 0.2500000 0.0000000 0.6666667 0.0000000 #> debate 0.5000000 0.3333333 0.0000000 0.6666667 0.5000000 #> computer 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> school 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> education 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> grades 0.0000000 0.0000000 1.0000000 0.0000000 NaN #> university 0.0000000 0.0000000 1.0000000 0.0000000 NaN #> teacher 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> problem solving 0.5000000 0.2500000 0.0000000 0.3333333 0.0000000 #> critical thinking 0.7500000 0.4000000 0.0000000 0.6666667 0.0000000 #> innovation 0.0000000 0.8000000 0.0000000 0.0000000 0.0000000 #> coding 0.0000000 0.7500000 0.0000000 0.0000000 0.0000000 #> intelligence agency 0.0000000 0.2500000 0.0000000 0.0000000 0.0000000 #> library 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> study 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> intelligence quotient 1.0000000 0.2500000 0.0000000 1.0000000 0.0000000 #> scholarship 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> academic 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> history 0.0000000 0.6666667 0.0000000 0.0000000 0.0000000 #> linguistics 0.2000000 0.3333333 0.7500000 0.3333333 1.0000000 #> psychology 0.5000000 0.3333333 0.0000000 0.5000000 0.0000000 #> philosophy 0.8000000 0.3333333 0.0000000 0.6666667 0.0000000 #> neuroscience 0.4285714 0.2500000 0.0000000 0.4000000 0.0000000 #> smartwatch NA NA NA NA NA #> artificial intelligence 0.0000000 0.6666667 0.0000000 0.0000000 0.0000000 #> research 0.0000000 0.0000000 0.8000000 0.0000000 1.0000000 #> discoveries 0.0000000 0.7500000 0.0000000 0.0000000 0.0000000 #> inventions 0.0000000 0.6666667 0.0000000 0.0000000 0.0000000 #> Mensa 1.0000000 0.0000000 0.0000000 1.0000000 0.0000000 #> trivia 0.1666667 0.0000000 0.8333333 0.0000000 1.0000000 #> quantum physics 0.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> analytics 0.0000000 0.5000000 0.0000000 0.0000000 0.0000000 #> strategy games NA NA NA NA NA #> smart 0.8571429 0.3333333 0.0000000 0.8333333 0.0000000 #> tests 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> book smart 0.2000000 0.0000000 0.8000000 0.2000000 1.0000000 #> brains 0.8571429 0.6666667 0.0000000 0.8000000 0.0000000 #> wisdom 0.5000000 0.5000000 0.0000000 0.4000000 0.0000000 #> Stephen Hawking 0.1428571 1.0000000 0.0000000 0.1666667 0.0000000 #> clever 0.8750000 0.2500000 0.0000000 0.8000000 0.0000000 #> high scores NA NA NA NA NA #> mental NA NA NA NA NA #> intellectuals 1.0000000 0.2000000 0.0000000 1.0000000 0.0000000 #> savvy 0.8750000 0.2500000 0.0000000 0.8571429 0.0000000 #> success 0.5555556 0.3333333 0.1250000 0.6666667 0.0000000 #> nerd NA NA NA NA NA #> thinking 1.0000000 0.0000000 0.0000000 1.0000000 0.0000000 #> comprehension 0.0000000 0.0000000 1.0000000 0.0000000 1.0000000 #> understanding 0.5000000 0.2000000 0.0000000 0.4000000 0.0000000 #> creativity 0.1250000 0.4000000 0.0000000 0.0000000 0.0000000 #> insight 0.7142857 0.2500000 0.0000000 0.6666667 0.0000000 #> mastery NA NA NA NA NA #> 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0.3333333 0.6000000 0.6000000 #> clever 0.0000000 0.7142857 0.0000000 0.0000000 #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals 0.0000000 0.5714286 0.0000000 0.0000000 #> savvy 0.0000000 0.5000000 0.0000000 0.0000000 #> success 0.0000000 0.7142857 0.0000000 0.1250000 #> nerd NA NA NA NA #> thinking 0.0000000 0.5000000 0.0000000 0.0000000 #> comprehension 0.0000000 0.0000000 0.0000000 0.0000000 #> understanding 0.0000000 1.0000000 0.0000000 0.0000000 #> creativity 1.0000000 0.3333333 0.6000000 0.6666667 #> insight 0.0000000 1.0000000 0.0000000 0.0000000 #> mastery NA NA NA NA #> scholars 0.0000000 0.2000000 0.0000000 0.0000000 #> expertise 0.5000000 0.2500000 0.0000000 0.3333333 #> intelligence agencies 0.5000000 0.0000000 1.0000000 0.7500000 #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude 0.0000000 0.0000000 0.0000000 0.0000000 #> scholarships 0.0000000 0.0000000 0.0000000 0.0000000 #> analysis 0.0000000 0.7500000 0.2000000 0.2000000 #> competition 0.3333333 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0.0000000 0.6666667 #> debates 0.0000000 0.8000000 0.0000000 0.0000000 #> mathematics 0.0000000 0.0000000 NaN 0.0000000 #> Smart 0.0000000 0.3333333 0.0000000 0.0000000 #> Brain 0.0000000 0.8333333 0.0000000 0.0000000 #> Science 1.0000000 0.0000000 1.0000000 1.0000000 #> Genius 1.0000000 0.0000000 1.0000000 1.0000000 #> University 0.0000000 0.0000000 0.0000000 0.0000000 #> Knowledge 0.0000000 0.0000000 0.0000000 0.0000000 #> Books 0.0000000 0.0000000 0.0000000 0.0000000 #> Problem solving 0.0000000 1.0000000 0.0000000 0.0000000 #> Chess 0.0000000 0.6666667 0.0000000 0.0000000 #> Mathematics 0.0000000 0.0000000 0.0000000 0.0000000 #> Technology 1.0000000 0.0000000 1.0000000 1.0000000 #> Inventions NA NA NA NA #> Bill Gates 1.0000000 0.0000000 1.0000000 1.0000000 #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs 1.0000000 0.0000000 1.0000000 1.0000000 #> Education 0.0000000 0.0000000 0.0000000 0.0000000 #> Grades 0.0000000 0.0000000 0.0000000 0.0000000 #> Diploma 0.0000000 0.0000000 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0.2500000 1.0000000 1.0000000 #> reading 0.0000000 0.0000000 0.5000000 1.0000000 1.0000000 #> math 0.0000000 0.1666667 0.5000000 0.7500000 0.8000000 #> professor 0.0000000 0.0000000 0.6000000 1.0000000 1.0000000 #> IQ 0.0000000 0.8333333 0.3333333 0.0000000 0.0000000 #> chess 0.0000000 0.7777778 0.5000000 0.0000000 0.0000000 #> logic 0.0000000 0.8571429 0.2500000 0.0000000 0.0000000 #> debate 0.0000000 0.7500000 0.5000000 0.2500000 0.0000000 #> computer 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> school 0.0000000 0.0000000 0.6666667 1.0000000 1.0000000 #> education 0.0000000 0.0000000 0.6000000 1.0000000 1.0000000 #> grades 0.0000000 0.0000000 0.3333333 1.0000000 1.0000000 #> university 0.0000000 0.0000000 0.3333333 1.0000000 1.0000000 #> teacher 0.0000000 0.0000000 0.3333333 1.0000000 1.0000000 #> problem solving 0.1666667 0.5000000 0.2500000 0.0000000 0.0000000 #> critical thinking 0.0000000 0.8750000 0.2000000 0.0000000 0.0000000 #> innovation 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> coding 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> intelligence agency 0.4000000 0.0000000 0.0000000 0.0000000 0.0000000 #> library 0.0000000 0.0000000 0.3333333 1.0000000 1.0000000 #> study 0.0000000 0.0000000 0.6000000 1.0000000 1.0000000 #> intelligence quotient 0.0000000 0.8333333 1.0000000 0.0000000 0.0000000 #> scholarship 0.0000000 0.0000000 0.6000000 1.0000000 1.0000000 #> academic 0.0000000 0.0000000 0.6666667 1.0000000 1.0000000 #> history 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> linguistics 0.0000000 0.2000000 0.6666667 0.7500000 0.6666667 #> psychology 0.0000000 0.5000000 0.2500000 0.0000000 0.0000000 #> philosophy 0.0000000 0.8000000 0.5000000 0.0000000 0.0000000 #> neuroscience 0.0000000 0.5714286 0.0000000 0.0000000 0.0000000 #> smartwatch NA NA NA NA NA #> artificial intelligence 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> research 0.2000000 0.0000000 0.4000000 0.8000000 0.7500000 #> discoveries 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> inventions 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Mensa 0.0000000 0.8333333 0.5000000 0.0000000 0.0000000 #> trivia 0.0000000 0.1666667 1.0000000 0.6666667 0.8333333 #> quantum physics 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> analytics 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> strategy games NA NA NA NA NA #> smart 0.0000000 0.7142857 0.5000000 0.0000000 0.0000000 #> tests 0.0000000 0.0000000 0.6000000 1.0000000 1.0000000 #> book smart 0.0000000 0.2000000 0.6666667 0.6666667 1.0000000 #> brains 0.0000000 0.8571429 0.2500000 0.0000000 0.0000000 #> wisdom 0.0000000 0.6666667 0.3333333 0.0000000 0.0000000 #> Stephen Hawking 0.6000000 0.1428571 0.0000000 0.0000000 0.0000000 #> clever 0.0000000 0.8750000 0.4000000 0.0000000 0.0000000 #> high scores NA NA NA NA NA #> mental NA NA NA NA NA #> intellectuals 0.0000000 0.8750000 0.4000000 0.0000000 0.0000000 #> savvy 0.0000000 0.7500000 0.5000000 0.0000000 0.0000000 #> success 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0.4000000 0.2500000 #> writing 0.6666667 0.0000000 0.0000000 0.5000000 0.3333333 #> debates 0.0000000 0.6666667 0.0000000 0.3333333 0.2000000 #> mathematics 0.0000000 0.0000000 0.5000000 1.0000000 1.0000000 #> Smart 0.0000000 0.6250000 0.3333333 0.2000000 0.0000000 #> Brain 0.0000000 0.5714286 0.0000000 0.2000000 0.0000000 #> Science 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Genius 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> University 0.0000000 0.0000000 0.5000000 1.0000000 1.0000000 #> Knowledge 0.0000000 0.0000000 1.0000000 1.0000000 1.0000000 #> Books 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> Problem solving 0.0000000 0.7500000 0.3333333 0.0000000 0.0000000 #> Chess 0.0000000 0.8571429 0.7500000 0.0000000 0.0000000 #> Mathematics 0.0000000 0.0000000 1.0000000 1.0000000 1.0000000 #> Technology 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Inventions NA NA NA NA NA #> Bill Gates 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA NA NA #> Steve Jobs 1.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> Education 0.0000000 0.0000000 0.5000000 1.0000000 1.0000000 #> Grades 0.0000000 0.0000000 0.6000000 1.0000000 1.0000000 #> Diploma 0.0000000 0.0000000 0.3333333 1.0000000 1.0000000 #> Scholarships 0.0000000 0.0000000 1.0000000 1.0000000 1.0000000 #> Logic 0.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> Analysis 0.2000000 0.0000000 0.0000000 0.5000000 0.4000000 #> math professor IQ chess logic #> intelligence 0.1666667 0.0000000 1.0000000 0.8888889 0.7142857 #> Einstein 0.3333333 0.0000000 0.2500000 0.3333333 0.2500000 #> books 0.8333333 1.0000000 0.0000000 0.0000000 0.0000000 #> IQ tests 0.1666667 0.0000000 1.0000000 0.8333333 0.6666667 #> college 1.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> smart people 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> brain 0.2500000 0.0000000 0.6000000 0.7142857 1.0000000 #> genius 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> technology 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> science 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> puzzles 0.1666667 0.0000000 0.8333333 0.7777778 0.8571429 #> knowledge 0.5000000 0.6000000 0.3333333 0.5000000 0.2500000 #> learning 0.7500000 1.0000000 0.0000000 0.0000000 0.0000000 #> reading 0.8000000 1.0000000 0.0000000 0.0000000 0.0000000 #> math 1.0000000 1.0000000 0.2500000 0.2000000 0.0000000 #> professor 1.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> IQ 0.2500000 0.0000000 1.0000000 0.8000000 0.5000000 #> chess 0.2000000 0.0000000 0.8000000 1.0000000 0.8333333 #> logic 0.0000000 0.0000000 0.5000000 0.8333333 1.0000000 #> debate 0.3333333 0.3333333 0.5000000 0.5000000 1.0000000 #> computer 0.7500000 1.0000000 0.0000000 0.0000000 0.0000000 #> school 0.7500000 1.0000000 0.0000000 0.0000000 0.0000000 #> education 0.7500000 1.0000000 0.0000000 0.0000000 0.0000000 #> grades NaN 1.0000000 0.0000000 0.0000000 0.0000000 #> university 0.7500000 1.0000000 0.0000000 0.0000000 0.0000000 #> teacher 1.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> problem solving 0.3333333 0.0000000 1.0000000 0.5000000 0.3333333 #> critical thinking 0.2000000 0.0000000 0.6666667 0.8571429 1.0000000 #> innovation 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> coding 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> intelligence agency 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> library 1.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> study 0.8000000 1.0000000 0.0000000 0.0000000 0.0000000 #> intelligence quotient 0.2500000 0.0000000 1.0000000 1.0000000 0.7500000 #> scholarship 0.8000000 1.0000000 0.0000000 0.0000000 0.0000000 #> academic 0.5000000 1.0000000 0.0000000 0.0000000 0.0000000 #> history 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> linguistics 1.0000000 1.0000000 0.3333333 0.2000000 0.0000000 #> psychology 0.0000000 0.0000000 0.5000000 0.6666667 0.8000000 #> philosophy 0.3333333 0.0000000 1.0000000 0.8000000 0.5000000 #> 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0.3333333 0.2000000 #> clever 0.2500000 0.0000000 0.8000000 0.7142857 0.6000000 #> high scores NA NA NA NA NA #> mental NA NA NA NA NA #> intellectuals 0.2000000 0.0000000 1.0000000 0.8571429 0.6000000 #> savvy 0.1666667 0.0000000 0.8000000 0.7142857 0.5000000 #> success 0.2000000 0.1428571 0.5000000 0.5000000 0.8333333 #> nerd NA NA NA NA NA #> thinking 0.0000000 0.0000000 1.0000000 1.0000000 0.6666667 #> comprehension 1.0000000 1.0000000 0.0000000 0.0000000 0.0000000 #> understanding 0.0000000 0.0000000 0.6000000 0.5714286 0.8333333 #> creativity 0.0000000 0.0000000 0.0000000 0.1428571 0.2857143 #> insight 0.1666667 0.0000000 0.7500000 0.6666667 0.8333333 #> mastery NA NA NA NA NA #> scholars 0.5000000 0.6000000 0.2500000 0.4285714 0.2500000 #> expertise 0.0000000 0.0000000 1.0000000 0.3333333 0.3333333 #> intelligence agencies 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> cunning NA NA NA NA NA #> bright NA NA NA NA NA #> aptitude 0.3333333 0.5000000 0.0000000 0.3333333 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0.0000000 #> teacher 1.0000000 1.0000000 0.0000000 #> problem solving 0.0000000 0.0000000 1.0000000 #> critical thinking 0.0000000 0.0000000 0.7500000 #> innovation 0.0000000 0.0000000 0.2000000 #> coding 0.0000000 0.0000000 0.0000000 #> intelligence agency 0.0000000 0.0000000 0.0000000 #> library 1.0000000 1.0000000 0.0000000 #> study 1.0000000 1.0000000 0.0000000 #> intelligence quotient 0.0000000 0.0000000 0.5000000 #> scholarship 1.0000000 1.0000000 0.0000000 #> academic 1.0000000 1.0000000 0.0000000 #> history 0.0000000 0.0000000 0.0000000 #> linguistics 0.6666667 1.0000000 0.2500000 #> psychology 0.0000000 0.0000000 0.5000000 #> philosophy 0.0000000 0.0000000 0.7500000 #> neuroscience 0.0000000 0.0000000 0.5000000 #> smartwatch NA NA NA #> artificial intelligence 0.0000000 0.0000000 0.3333333 #> research 0.6666667 0.7500000 0.2500000 #> discoveries 0.0000000 0.0000000 0.0000000 #> inventions 0.0000000 0.0000000 0.0000000 #> Mensa 0.0000000 0.0000000 0.3333333 #> trivia 0.8000000 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0.0000000 #> university 0.0000000 0.0000000 0.0000000 #> teacher 0.0000000 0.0000000 0.0000000 #> problem solving 0.7500000 0.2000000 0.0000000 #> critical thinking 1.0000000 0.0000000 0.0000000 #> innovation 0.0000000 1.0000000 1.0000000 #> coding 0.0000000 1.0000000 1.0000000 #> intelligence agency 0.0000000 0.4000000 0.6666667 #> library 0.0000000 0.0000000 0.0000000 #> study 0.0000000 0.0000000 0.0000000 #> intelligence quotient 0.7500000 0.0000000 0.0000000 #> scholarship 0.0000000 0.0000000 0.0000000 #> academic 0.0000000 0.0000000 0.0000000 #> history 0.0000000 1.0000000 1.0000000 #> linguistics 0.2000000 0.0000000 0.0000000 #> psychology 1.0000000 0.0000000 0.0000000 #> philosophy 1.0000000 0.0000000 0.0000000 #> neuroscience 1.0000000 0.0000000 0.0000000 #> smartwatch NA NA NA #> artificial intelligence 0.0000000 1.0000000 1.0000000 #> research 0.0000000 0.1666667 0.0000000 #> discoveries 0.0000000 1.0000000 1.0000000 #> inventions 0.0000000 1.0000000 1.0000000 #> Mensa 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intelligence agencies 0.0000000 0.6666667 1.0000000 #> cunning NA NA NA #> bright NA NA NA #> aptitude 0.0000000 0.0000000 0.0000000 #> scholarships 0.0000000 0.0000000 0.0000000 #> analysis 0.8000000 0.0000000 0.3333333 #> competition 0.7500000 0.3333333 0.3333333 #> strategy 0.6666667 0.2500000 0.2500000 #> apt brain NA NA NA #> achievements NA NA NA #> curiosity 0.1666667 0.8571429 1.0000000 #> observation NA NA NA #> quick witted 1.0000000 0.0000000 0.0000000 #> informed 0.6000000 0.0000000 0.0000000 #> street smart NA NA NA #> Smart people 0.0000000 0.8000000 0.6666667 #> Albert Einstein 0.1666667 1.0000000 0.8000000 #> AI 0.0000000 1.0000000 1.0000000 #> professors 0.0000000 0.0000000 0.0000000 #> scientists 0.0000000 1.0000000 1.0000000 #> data 0.0000000 1.0000000 1.0000000 #> computer programming 0.0000000 1.0000000 1.0000000 #> memory 0.0000000 0.0000000 0.0000000 #> spies 0.0000000 0.5000000 0.6666667 #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language 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1.0000000 #> grades 0.0000000 1.0000000 1.0000000 #> university 0.0000000 1.0000000 1.0000000 #> teacher 0.0000000 1.0000000 1.0000000 #> problem solving 0.0000000 0.0000000 0.0000000 #> critical thinking 0.0000000 0.0000000 0.0000000 #> innovation 0.4000000 0.0000000 0.0000000 #> coding 0.6666667 0.0000000 0.0000000 #> intelligence agency 1.0000000 0.0000000 0.0000000 #> library 0.0000000 1.0000000 1.0000000 #> study 0.0000000 1.0000000 1.0000000 #> intelligence quotient 0.0000000 0.0000000 0.0000000 #> scholarship 0.0000000 1.0000000 1.0000000 #> academic 0.0000000 1.0000000 1.0000000 #> history 0.7500000 0.0000000 0.0000000 #> linguistics 0.0000000 1.0000000 0.8000000 #> psychology 0.0000000 0.0000000 0.0000000 #> philosophy 0.0000000 0.0000000 0.0000000 #> neuroscience 0.0000000 0.0000000 0.0000000 #> smartwatch NA NA NA #> artificial intelligence 0.2500000 0.0000000 0.0000000 #> research 0.0000000 1.0000000 0.8000000 #> discoveries 1.0000000 0.0000000 0.0000000 #> inventions 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expertise 0.0000000 0.0000000 0.0000000 #> intelligence agencies 1.0000000 0.0000000 0.0000000 #> cunning NA NA NA #> bright NA NA NA #> aptitude 0.0000000 1.0000000 0.5000000 #> scholarships 0.0000000 1.0000000 1.0000000 #> analysis 0.2500000 0.0000000 0.0000000 #> competition 0.0000000 0.0000000 0.0000000 #> strategy 0.0000000 0.0000000 0.0000000 #> apt brain NA NA NA #> achievements NA NA NA #> curiosity 0.2000000 0.0000000 0.0000000 #> observation NA NA NA #> quick witted 0.0000000 0.0000000 0.0000000 #> informed 0.0000000 0.0000000 0.0000000 #> street smart NA NA NA #> Smart people 0.5000000 0.3333333 0.2500000 #> Albert Einstein 0.2500000 0.0000000 0.0000000 #> AI 0.6666667 0.0000000 0.0000000 #> professors 0.0000000 1.0000000 1.0000000 #> scientists 0.4000000 0.0000000 0.0000000 #> data 0.6000000 0.0000000 0.0000000 #> computer programming 1.0000000 0.0000000 0.0000000 #> memory 0.0000000 1.0000000 1.0000000 #> spies 1.0000000 0.0000000 0.0000000 #> codes NA NA NA #> 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0.0000000 0.0000000 #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills 0.4000000 0.2500000 0.3333333 #> writing 0.0000000 0.3333333 0.0000000 #> debates 0.6666667 0.0000000 0.0000000 #> mathematics 0.0000000 1.0000000 NaN #> Smart 0.6000000 0.1666667 0.3333333 #> Brain 0.2500000 0.1666667 0.3333333 #> Science 0.0000000 0.0000000 0.0000000 #> Genius 0.0000000 0.0000000 0.0000000 #> University 0.0000000 1.0000000 1.0000000 #> Knowledge 0.0000000 1.0000000 1.0000000 #> Books 0.0000000 1.0000000 1.0000000 #> Problem solving 0.6666667 0.0000000 0.0000000 #> Chess 1.0000000 0.0000000 0.0000000 #> Mathematics 0.0000000 1.0000000 1.0000000 #> Technology 0.0000000 0.0000000 0.0000000 #> Inventions NA NA NA #> Bill Gates 0.0000000 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA #> Steve Jobs 0.0000000 0.0000000 0.0000000 #> Education 0.0000000 1.0000000 1.0000000 #> Grades 0.0000000 1.0000000 1.0000000 #> Diploma 0.0000000 1.0000000 NaN #> Scholarships 0.0000000 1.0000000 1.0000000 #> Logic 1.0000000 0.0000000 0.0000000 #> Analysis 0.0000000 0.2000000 0.3333333 #> history linguistics psychology philosophy #> intelligence 0.0000000 0.2000000 0.5000000 0.8000000 #> Einstein 0.6666667 0.3333333 0.3333333 0.3333333 #> books 0.0000000 0.7500000 0.0000000 0.0000000 #> IQ tests 0.0000000 0.3333333 0.5000000 0.6666667 #> college 0.0000000 1.0000000 0.0000000 0.0000000 #> smart people 1.0000000 NaN 0.0000000 0.0000000 #> brain 0.0000000 0.2500000 1.0000000 0.6666667 #> genius 1.0000000 0.0000000 0.0000000 0.0000000 #> technology 1.0000000 0.0000000 0.0000000 0.0000000 #> science 1.0000000 0.0000000 0.0000000 0.0000000 #> puzzles 0.0000000 0.2000000 0.5000000 0.8000000 #> knowledge 0.0000000 0.6666667 0.2500000 0.5000000 #> learning 0.0000000 0.7500000 0.0000000 0.0000000 #> reading 0.0000000 0.6666667 0.0000000 0.0000000 #> math 0.0000000 1.0000000 0.0000000 0.3333333 #> professor 0.0000000 1.0000000 0.0000000 0.0000000 #> IQ 0.0000000 0.3333333 0.5000000 1.0000000 #> chess 0.0000000 0.2000000 0.6666667 0.8000000 #> logic 0.0000000 0.0000000 0.8000000 0.5000000 #> debate 0.0000000 0.6666667 1.0000000 0.6666667 #> computer 0.0000000 0.6666667 0.0000000 0.0000000 #> school 0.0000000 0.6666667 0.0000000 0.0000000 #> education 0.0000000 0.7500000 0.0000000 0.0000000 #> grades 0.0000000 1.0000000 0.0000000 0.0000000 #> university 0.0000000 0.6666667 0.0000000 0.0000000 #> teacher 0.0000000 1.0000000 0.0000000 0.0000000 #> problem solving 0.0000000 0.2500000 0.5000000 0.7500000 #> critical thinking 0.0000000 0.2000000 1.0000000 1.0000000 #> innovation 1.0000000 0.0000000 0.0000000 0.0000000 #> coding 1.0000000 0.0000000 0.0000000 0.0000000 #> intelligence agency 0.7500000 0.0000000 0.0000000 0.0000000 #> library 0.0000000 1.0000000 0.0000000 0.0000000 #> study 0.0000000 0.8000000 0.0000000 0.0000000 #> intelligence quotient 0.0000000 0.3333333 0.5000000 0.7500000 #> scholarship 0.0000000 0.8000000 0.0000000 0.0000000 #> 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0.7500000 1.0000000 #> wisdom 0.0000000 1.0000000 0.6666667 1.0000000 #> Stephen Hawking 0.3333333 0.3333333 0.2500000 0.3333333 #> clever 0.0000000 0.2000000 0.4000000 0.7500000 #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals 0.0000000 0.3333333 0.2500000 0.7500000 #> savvy 0.0000000 0.3333333 0.2000000 0.5000000 #> success 0.1666667 0.2500000 0.6000000 0.4000000 #> nerd NA NA NA NA #> thinking 0.0000000 0.0000000 0.6666667 1.0000000 #> comprehension 0.0000000 1.0000000 0.0000000 0.0000000 #> understanding 0.0000000 0.0000000 1.0000000 0.7500000 #> creativity 0.6000000 0.0000000 0.2000000 0.0000000 #> insight 0.0000000 0.2500000 1.0000000 1.0000000 #> mastery NA NA NA NA #> scholars 0.0000000 0.5000000 0.2500000 0.2000000 #> expertise 0.0000000 0.0000000 0.0000000 0.0000000 #> intelligence agencies 1.0000000 0.0000000 0.0000000 0.0000000 #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude 0.0000000 0.0000000 0.0000000 0.5000000 #> scholarships 0.0000000 1.0000000 0.0000000 0.0000000 #> analysis 0.2500000 0.0000000 0.6666667 0.3333333 #> competition 0.3333333 0.0000000 0.6666667 0.5000000 #> strategy 0.2500000 0.0000000 0.6666667 0.5000000 #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity 0.7500000 0.0000000 0.2500000 0.0000000 #> observation NA NA NA NA #> quick witted 0.0000000 0.2500000 0.5000000 0.7500000 #> informed 0.0000000 0.0000000 0.3333333 1.0000000 #> street smart NA NA NA NA #> Smart people 0.7500000 0.3333333 0.0000000 0.0000000 #> Albert Einstein 0.8000000 0.2500000 0.0000000 0.2500000 #> AI 1.0000000 0.0000000 0.0000000 0.0000000 #> professors 0.0000000 0.6666667 0.0000000 0.0000000 #> scientists 1.0000000 0.0000000 0.0000000 0.0000000 #> data 1.0000000 0.0000000 0.0000000 0.0000000 #> computer programming 1.0000000 0.0000000 0.0000000 0.0000000 #> memory 0.0000000 0.8000000 0.0000000 0.0000000 #> spies 0.7500000 0.0000000 0.0000000 0.0000000 #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills 0.0000000 0.6666667 0.6666667 0.5000000 #> writing 0.6666667 0.0000000 0.0000000 0.0000000 #> debates 0.0000000 0.5000000 0.5000000 0.3333333 #> mathematics NaN 1.0000000 0.0000000 0.0000000 #> Smart 0.0000000 0.2500000 0.1666667 0.5000000 #> Brain 0.0000000 0.3333333 0.8000000 0.5000000 #> Science 1.0000000 0.0000000 0.0000000 0.0000000 #> Genius 1.0000000 0.0000000 0.0000000 0.0000000 #> University 0.0000000 0.6666667 0.0000000 0.0000000 #> Knowledge 0.0000000 1.0000000 0.0000000 0.0000000 #> Books 0.0000000 1.0000000 0.0000000 0.0000000 #> Problem solving 0.0000000 0.0000000 1.0000000 1.0000000 #> Chess 0.0000000 0.3333333 0.5000000 0.6666667 #> Mathematics 0.0000000 1.0000000 0.0000000 0.0000000 #> Technology 1.0000000 0.0000000 0.0000000 0.0000000 #> Inventions NA NA NA NA #> Bill Gates 1.0000000 0.0000000 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs 1.0000000 0.0000000 0.0000000 0.0000000 #> Education 0.0000000 0.8000000 0.0000000 0.0000000 #> Grades 0.0000000 1.0000000 0.0000000 0.0000000 #> Diploma 0.0000000 1.0000000 0.0000000 0.0000000 #> Scholarships 0.0000000 0.6666667 0.0000000 0.0000000 #> Logic 0.0000000 0.0000000 0.6666667 0.6666667 #> Analysis 0.2500000 0.5000000 0.2000000 0.0000000 #> neuroscience smartwatch artificial intelligence #> intelligence 0.4285714 NA 0.0000000 #> Einstein 0.2500000 NA 0.6666667 #> books 0.0000000 NA 0.0000000 #> IQ tests 0.4000000 NA 0.0000000 #> college 0.0000000 NA 0.0000000 #> smart people 0.0000000 NA 1.0000000 #> brain 1.0000000 NA 0.0000000 #> genius 0.0000000 NA 1.0000000 #> technology 0.0000000 NA 1.0000000 #> science 0.0000000 NA 1.0000000 #> puzzles 0.5714286 NA 0.0000000 #> knowledge 0.0000000 NA 0.0000000 #> learning 0.0000000 NA 0.0000000 #> reading 0.0000000 NA 0.0000000 #> math 0.0000000 NA 0.0000000 #> professor 0.0000000 NA 0.0000000 #> IQ 0.5000000 NA 0.0000000 #> chess 0.5000000 NA 0.0000000 #> logic 0.8000000 NA 0.0000000 #> debate 0.5000000 NA 0.0000000 #> computer 0.0000000 NA 0.0000000 #> school 0.0000000 NA 0.0000000 #> education 0.0000000 NA 0.0000000 #> grades 0.0000000 NA 0.0000000 #> university 0.0000000 NA 0.0000000 #> teacher 0.0000000 NA 0.0000000 #> problem solving 0.5000000 NA 0.3333333 #> critical thinking 1.0000000 NA 0.0000000 #> innovation 0.0000000 NA 1.0000000 #> coding 0.0000000 NA 1.0000000 #> intelligence agency 0.0000000 NA 0.2500000 #> library 0.0000000 NA 0.0000000 #> study 0.0000000 NA 0.0000000 #> intelligence quotient 0.0000000 NA 0.0000000 #> scholarship 0.0000000 NA 0.0000000 #> academic 0.0000000 NA 0.0000000 #> history 0.0000000 NA 1.0000000 #> linguistics 0.0000000 NA 0.0000000 #> psychology 1.0000000 NA 0.0000000 #> philosophy 0.6666667 NA 0.0000000 #> neuroscience 1.0000000 NA 0.0000000 #> smartwatch NA 1 NA #> artificial intelligence 0.0000000 NA 1.0000000 #> research 0.0000000 NA 0.2500000 #> discoveries 0.0000000 NA 1.0000000 #> inventions 0.0000000 NA 1.0000000 #> Mensa 0.6000000 NA 0.0000000 #> trivia 0.0000000 NA 0.0000000 #> quantum physics 0.0000000 NA 1.0000000 #> analytics 0.0000000 NA 1.0000000 #> strategy games NA NA NA #> smart 0.4000000 NA 0.0000000 #> tests 0.0000000 NA 0.0000000 #> book smart 0.2500000 NA 0.0000000 #> brains 0.8000000 NA 0.0000000 #> wisdom 0.8000000 NA 0.0000000 #> Stephen Hawking 0.2000000 NA 0.7500000 #> clever 0.6000000 NA 0.0000000 #> high scores NA NA NA #> mental NA NA NA #> intellectuals 0.4285714 NA 0.0000000 #> savvy 0.3333333 NA 0.0000000 #> success 0.5000000 NA 0.1666667 #> nerd NA NA NA #> thinking 0.5000000 NA 0.0000000 #> comprehension 0.0000000 NA 0.0000000 #> understanding 1.0000000 NA 0.0000000 #> creativity 0.1666667 NA 0.8000000 #> insight 1.0000000 NA 0.0000000 #> mastery NA NA NA #> scholars 0.0000000 NA 0.0000000 #> expertise 0.2500000 NA 0.5000000 #> intelligence agencies 0.0000000 NA 0.5000000 #> cunning NA NA NA #> bright NA NA NA #> aptitude 0.0000000 NA 0.0000000 #> scholarships 0.0000000 NA 0.0000000 #> 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0.0000000 #> brain 0.0000000 0.0000000 0.0000000 0.6000000 0.0000000 #> genius 0.0000000 1.0000000 1.0000000 0.0000000 0.0000000 #> technology 0.2500000 1.0000000 1.0000000 0.0000000 0.0000000 #> science 0.2000000 1.0000000 1.0000000 0.0000000 0.0000000 #> puzzles 0.0000000 0.0000000 0.0000000 0.8333333 0.1666667 #> knowledge 0.4000000 0.0000000 0.0000000 0.5000000 1.0000000 #> learning 0.8000000 0.0000000 0.0000000 0.0000000 0.6666667 #> reading 0.7500000 0.0000000 0.0000000 0.0000000 0.8333333 #> math 1.0000000 0.0000000 0.0000000 0.0000000 0.7500000 #> professor 1.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> IQ 0.0000000 0.0000000 0.0000000 1.0000000 0.0000000 #> chess 0.0000000 0.0000000 0.0000000 1.0000000 0.1666667 #> logic 0.0000000 0.0000000 0.0000000 0.7500000 0.0000000 #> debate 0.3333333 0.0000000 0.0000000 0.3333333 0.0000000 #> computer 1.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> school 0.6666667 0.0000000 0.0000000 0.0000000 0.8000000 #> education 0.7500000 0.0000000 0.0000000 0.0000000 0.8000000 #> grades 0.5000000 0.0000000 0.0000000 0.0000000 0.5000000 #> university 0.6666667 0.0000000 0.0000000 0.0000000 0.8000000 #> teacher 0.7500000 0.0000000 0.0000000 0.0000000 0.6666667 #> problem solving 0.2500000 0.0000000 0.0000000 0.3333333 0.0000000 #> critical thinking 0.0000000 0.0000000 0.0000000 0.8000000 0.0000000 #> innovation 0.1666667 1.0000000 1.0000000 0.0000000 0.0000000 #> coding 0.0000000 1.0000000 1.0000000 0.0000000 0.0000000 #> intelligence agency 0.0000000 1.0000000 0.6000000 0.0000000 0.0000000 #> library 1.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> study 0.8000000 0.0000000 0.0000000 0.0000000 0.8333333 #> intelligence quotient 0.0000000 0.0000000 0.0000000 1.0000000 0.2500000 #> scholarship 1.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> academic 1.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> history 0.0000000 1.0000000 1.0000000 0.0000000 0.0000000 #> linguistics 1.0000000 0.0000000 0.0000000 0.0000000 0.6666667 #> psychology 0.0000000 0.0000000 0.0000000 0.6666667 0.0000000 #> philosophy 0.0000000 0.0000000 0.0000000 1.0000000 0.2500000 #> neuroscience 0.0000000 0.0000000 0.0000000 0.6000000 0.0000000 #> smartwatch NA NA NA NA NA #> artificial intelligence 0.2500000 1.0000000 1.0000000 0.0000000 0.0000000 #> research 1.0000000 0.0000000 0.0000000 0.0000000 0.6666667 #> discoveries 0.0000000 1.0000000 1.0000000 0.0000000 0.0000000 #> inventions 0.0000000 1.0000000 1.0000000 0.0000000 0.0000000 #> Mensa 0.0000000 0.0000000 0.0000000 1.0000000 0.3333333 #> trivia 0.6666667 0.0000000 0.0000000 0.3333333 1.0000000 #> quantum physics 0.0000000 1.0000000 1.0000000 0.0000000 0.0000000 #> analytics 0.2500000 1.0000000 1.0000000 0.0000000 0.0000000 #> strategy games NA NA NA NA NA #> smart 0.0000000 0.0000000 0.0000000 0.8000000 0.2000000 #> tests 1.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> book smart 1.0000000 0.0000000 0.0000000 0.3333333 1.0000000 #> brains 0.0000000 0.0000000 0.0000000 1.0000000 0.2000000 #> wisdom 0.0000000 0.0000000 0.0000000 0.6666667 0.2500000 #> Stephen Hawking 0.2500000 0.7500000 0.5000000 0.0000000 0.0000000 #> clever 0.0000000 0.0000000 0.0000000 0.8000000 0.2000000 #> high scores NA NA NA NA NA #> mental NA NA NA NA NA #> intellectuals 0.0000000 0.0000000 0.0000000 1.0000000 0.2000000 #> savvy 0.0000000 0.0000000 0.0000000 0.8000000 0.1666667 #> success 0.0000000 0.0000000 0.1428571 0.4000000 0.2000000 #> nerd NA NA NA NA NA #> thinking 0.0000000 0.0000000 0.0000000 1.0000000 0.3333333 #> comprehension 0.8000000 0.0000000 0.0000000 0.0000000 0.7500000 #> understanding 0.0000000 0.0000000 0.0000000 0.6000000 0.0000000 #> creativity 0.0000000 0.6666667 0.6666667 0.0000000 0.0000000 #> insight 0.0000000 0.0000000 0.0000000 0.7500000 0.0000000 #> mastery NA NA NA NA NA #> scholars 0.4000000 0.0000000 0.0000000 0.5000000 1.0000000 #> expertise 0.3333333 0.3333333 0.0000000 0.5000000 0.0000000 #> intelligence agencies 0.0000000 1.0000000 1.0000000 0.0000000 0.0000000 #> cunning NA NA NA NA NA #> bright NA NA NA NA NA #> aptitude 0.0000000 0.0000000 0.0000000 0.3333333 0.6666667 #> scholarships 1.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> analysis 0.0000000 0.0000000 0.2000000 0.6666667 0.0000000 #> competition 0.2500000 0.0000000 0.2500000 0.4000000 0.0000000 #> strategy 0.2000000 0.0000000 0.2000000 0.4000000 0.0000000 #> apt brain NA NA NA NA NA #> achievements NA NA NA NA NA #> curiosity 0.2000000 0.7500000 0.8000000 0.0000000 0.0000000 #> observation NA NA NA NA NA #> quick witted 0.0000000 0.0000000 0.0000000 1.0000000 0.2500000 #> informed 0.0000000 0.0000000 0.0000000 1.0000000 0.3333333 #> street smart NA NA NA NA NA #> Smart people 0.2500000 0.6666667 0.8000000 0.0000000 0.0000000 #> Albert Einstein 0.0000000 1.0000000 0.8333333 0.0000000 0.0000000 #> AI 0.0000000 1.0000000 1.0000000 0.0000000 0.0000000 #> professors 1.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> scientists 0.3333333 1.0000000 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0.0000000 1.0000000 1.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA NA NA #> Steve Jobs 0.0000000 0.0000000 1.0000000 1.0000000 0.0000000 #> Education 0.1666667 0.2000000 0.0000000 0.0000000 1.0000000 #> Grades 0.1666667 0.2000000 0.0000000 0.0000000 1.0000000 #> Diploma 0.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> Scholarships 0.0000000 0.0000000 0.0000000 0.0000000 1.0000000 #> Logic 0.7500000 1.0000000 0.0000000 0.0000000 0.0000000 #> Analysis 0.1666667 0.3333333 0.2000000 0.1666667 0.2500000 #> Knowledge Books Problem solving Chess #> intelligence 0.0000000 0.0000000 0.5000000 1.0000000 #> Einstein 0.0000000 0.0000000 0.3333333 0.2500000 #> books 1.0000000 1.0000000 0.0000000 0.0000000 #> IQ tests 0.0000000 0.0000000 0.3333333 1.0000000 #> college 1.0000000 1.0000000 0.0000000 0.0000000 #> smart people 0.0000000 0.0000000 0.0000000 0.0000000 #> brain 0.0000000 0.0000000 1.0000000 0.6666667 #> genius 0.0000000 0.0000000 0.0000000 0.0000000 #> technology 0.0000000 0.0000000 0.0000000 0.0000000 #> science 0.0000000 0.0000000 0.0000000 0.0000000 #> puzzles 0.0000000 0.0000000 0.7500000 0.8571429 #> knowledge 1.0000000 0.0000000 0.3333333 0.7500000 #> learning 1.0000000 1.0000000 0.0000000 0.0000000 #> reading 1.0000000 1.0000000 0.0000000 0.0000000 #> math 1.0000000 1.0000000 0.0000000 0.2000000 #> professor 1.0000000 1.0000000 0.0000000 0.0000000 #> IQ 0.0000000 0.0000000 0.3333333 1.0000000 #> chess 0.0000000 0.0000000 0.7500000 1.0000000 #> logic 0.0000000 0.0000000 1.0000000 0.8000000 #> debate 0.5000000 0.0000000 1.0000000 0.5000000 #> computer 1.0000000 1.0000000 0.0000000 0.0000000 #> school 1.0000000 1.0000000 0.0000000 0.0000000 #> education 1.0000000 1.0000000 0.0000000 0.0000000 #> grades 1.0000000 1.0000000 0.0000000 0.0000000 #> university 1.0000000 1.0000000 0.0000000 0.0000000 #> teacher 1.0000000 1.0000000 0.0000000 0.0000000 #> problem solving 0.0000000 0.0000000 1.0000000 0.4000000 #> critical thinking 0.0000000 0.0000000 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1.0000000 NA 1.0000000 #> coding 0.0000000 1.0000000 NA 1.0000000 #> intelligence agency 0.0000000 0.6666667 NA 0.7500000 #> library 1.0000000 0.0000000 NA 0.0000000 #> study 1.0000000 0.0000000 NA 0.0000000 #> intelligence quotient 0.0000000 0.0000000 NA 0.0000000 #> scholarship 1.0000000 0.0000000 NA 0.0000000 #> academic 1.0000000 0.0000000 NA 0.0000000 #> history 0.0000000 1.0000000 NA 1.0000000 #> linguistics 1.0000000 0.0000000 NA 0.0000000 #> psychology 0.0000000 0.0000000 NA 0.0000000 #> philosophy 0.0000000 0.0000000 NA 0.0000000 #> neuroscience 0.0000000 0.0000000 NA 0.0000000 #> smartwatch NA NA NA NA #> artificial intelligence 0.0000000 1.0000000 NA 1.0000000 #> research 1.0000000 0.2500000 NA 0.0000000 #> discoveries 0.0000000 1.0000000 NA 1.0000000 #> inventions 0.0000000 1.0000000 NA 1.0000000 #> Mensa 0.0000000 0.0000000 NA 0.0000000 #> trivia 1.0000000 0.0000000 NA 0.0000000 #> quantum physics NaN 1.0000000 NA 1.0000000 #> analytics 0.0000000 1.0000000 NA 1.0000000 #> 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0.0000000 NA 0.0000000 #> writing 0.0000000 0.3333333 NA 0.0000000 #> debates 0.0000000 0.0000000 NA 0.0000000 #> mathematics 1.0000000 0.0000000 NA 0.0000000 #> Smart 0.0000000 0.0000000 NA 0.0000000 #> Brain 0.0000000 0.0000000 NA 0.0000000 #> Science 0.0000000 1.0000000 NA 1.0000000 #> Genius 0.0000000 1.0000000 NA 1.0000000 #> University 1.0000000 0.0000000 NA 0.0000000 #> Knowledge 1.0000000 0.0000000 NA 0.0000000 #> Books 1.0000000 0.0000000 NA 0.0000000 #> Problem solving 0.0000000 0.0000000 NA 0.0000000 #> Chess 0.0000000 0.0000000 NA 0.0000000 #> Mathematics 1.0000000 0.0000000 NA 0.0000000 #> Technology 0.0000000 1.0000000 NA 1.0000000 #> Inventions NA NA 1 NA #> Bill Gates 0.0000000 1.0000000 NA 1.0000000 #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs 0.0000000 1.0000000 NA 1.0000000 #> Education 1.0000000 0.0000000 NA 0.0000000 #> Grades 1.0000000 0.0000000 NA 0.0000000 #> Diploma 1.0000000 0.0000000 NA 0.0000000 #> Scholarships 1.0000000 0.0000000 NA 0.0000000 #> Logic 0.0000000 0.0000000 NA 0.0000000 #> Analysis 0.0000000 0.3333333 NA 0.4000000 #> Neil deGrasse Tyson Steve Jobs Education Grades #> intelligence NA 0.0000000 0.0000000 0.0000000 #> Einstein NA 0.6000000 0.0000000 0.0000000 #> books NA 0.0000000 1.0000000 1.0000000 #> IQ tests NA 0.0000000 0.0000000 0.0000000 #> college NA 0.0000000 1.0000000 1.0000000 #> smart people NA 1.0000000 0.0000000 0.0000000 #> brain NA 0.0000000 0.0000000 0.0000000 #> genius NA 1.0000000 0.0000000 0.0000000 #> technology NA 1.0000000 0.0000000 0.0000000 #> science NA 1.0000000 0.0000000 0.0000000 #> puzzles NA 0.0000000 0.0000000 0.0000000 #> knowledge NA 0.0000000 0.5000000 0.6000000 #> learning NA 0.0000000 1.0000000 1.0000000 #> reading NA 0.0000000 1.0000000 1.0000000 #> math NA 0.0000000 0.8000000 1.0000000 #> professor NA 0.0000000 1.0000000 1.0000000 #> IQ NA 0.0000000 0.0000000 0.0000000 #> chess NA 0.0000000 0.0000000 0.0000000 #> logic NA 0.0000000 0.0000000 0.0000000 #> debate NA 0.0000000 0.3333333 0.3333333 #> computer NA 0.0000000 1.0000000 1.0000000 #> school NA 0.0000000 1.0000000 1.0000000 #> education NA 0.0000000 1.0000000 1.0000000 #> grades NA 0.0000000 1.0000000 1.0000000 #> university NA 0.0000000 1.0000000 1.0000000 #> teacher NA 0.0000000 1.0000000 1.0000000 #> problem solving NA 0.1666667 0.0000000 0.0000000 #> critical thinking NA 0.0000000 0.0000000 0.0000000 #> innovation NA 1.0000000 0.0000000 0.0000000 #> coding NA 1.0000000 0.0000000 0.0000000 #> intelligence agency NA 0.4000000 0.0000000 0.0000000 #> library NA 0.0000000 1.0000000 1.0000000 #> study NA 0.0000000 1.0000000 1.0000000 #> intelligence quotient NA 0.0000000 0.0000000 0.0000000 #> scholarship NA 0.0000000 1.0000000 1.0000000 #> academic NA 0.0000000 1.0000000 1.0000000 #> history NA 1.0000000 0.0000000 0.0000000 #> linguistics NA 0.0000000 0.8000000 1.0000000 #> psychology NA 0.0000000 0.0000000 0.0000000 #> philosophy NA 0.0000000 0.0000000 0.0000000 #> neuroscience NA 0.0000000 0.0000000 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0.0000000 1.0000000 1.0000000 #> Technology NA 1.0000000 0.0000000 0.0000000 #> Inventions NA NA NA NA #> Bill Gates NA 1.0000000 0.0000000 0.0000000 #> Neil deGrasse Tyson 1 NA NA NA #> Steve Jobs NA 1.0000000 0.0000000 0.0000000 #> Education NA 0.0000000 1.0000000 1.0000000 #> Grades NA 0.0000000 1.0000000 1.0000000 #> Diploma NA 0.0000000 1.0000000 1.0000000 #> Scholarships NA 0.0000000 1.0000000 1.0000000 #> Logic NA 0.0000000 0.0000000 0.0000000 #> Analysis NA 0.1666667 0.6000000 0.2500000 #> Diploma Scholarships Logic Analysis #> intelligence 0.0000000 0.0000000 1.0000000 0.0000000 #> Einstein 0.0000000 0.0000000 0.0000000 0.5000000 #> books 1.0000000 1.0000000 0.0000000 0.4285714 #> IQ tests 0.0000000 0.0000000 1.0000000 0.0000000 #> college 1.0000000 1.0000000 0.0000000 0.0000000 #> smart people 0.0000000 0.0000000 0.0000000 0.0000000 #> brain 0.0000000 0.0000000 1.0000000 0.1666667 #> genius 0.0000000 0.0000000 0.0000000 0.2500000 #> technology 0.0000000 0.0000000 0.0000000 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trivia 0.6666667 1.0000000 0.0000000 0.2500000 #> quantum physics 0.0000000 0.0000000 0.0000000 0.2500000 #> analytics 0.0000000 0.0000000 0.0000000 0.4000000 #> strategy games NA NA NA NA #> smart 0.0000000 0.0000000 0.6666667 0.0000000 #> tests 1.0000000 1.0000000 0.0000000 0.4000000 #> book smart 1.0000000 0.6666667 0.5000000 0.0000000 #> brains 0.0000000 0.0000000 1.0000000 0.2500000 #> wisdom 0.0000000 0.0000000 0.5000000 0.2000000 #> Stephen Hawking 0.0000000 0.0000000 0.0000000 0.6000000 #> clever 0.0000000 0.0000000 0.7500000 0.0000000 #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals 0.0000000 0.0000000 1.0000000 0.0000000 #> savvy 0.0000000 0.0000000 0.7500000 0.0000000 #> success 0.0000000 0.0000000 0.7500000 0.0000000 #> nerd NA NA NA NA #> thinking 0.0000000 0.0000000 1.0000000 0.0000000 #> comprehension 1.0000000 1.0000000 0.0000000 0.5000000 #> understanding 0.0000000 0.0000000 0.7500000 0.1666667 #> creativity 0.0000000 0.0000000 0.0000000 0.1666667 #> insight 0.0000000 0.0000000 0.7500000 0.0000000 #> mastery NA NA NA NA #> scholars 0.3333333 1.0000000 0.0000000 0.2500000 #> expertise 0.0000000 0.0000000 0.5000000 0.2500000 #> intelligence agencies 0.0000000 0.0000000 0.0000000 0.0000000 #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude 0.0000000 0.6666667 0.0000000 0.0000000 #> scholarships 1.0000000 1.0000000 0.0000000 0.3333333 #> analysis 0.0000000 0.0000000 1.0000000 0.2500000 #> competition 0.0000000 0.0000000 0.5000000 0.0000000 #> strategy 0.0000000 0.0000000 0.4000000 0.1666667 #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity 0.0000000 0.0000000 0.0000000 0.4000000 #> observation NA NA NA NA #> quick witted 0.0000000 0.0000000 1.0000000 0.0000000 #> informed 0.0000000 0.0000000 1.0000000 0.0000000 #> street smart NA NA NA NA #> Smart people 0.0000000 0.0000000 0.0000000 0.6666667 #> Albert Einstein 0.0000000 0.0000000 0.0000000 0.2500000 #> AI 0.0000000 0.0000000 0.0000000 0.2500000 #> professors 1.0000000 1.0000000 0.0000000 0.5000000 #> scientists 0.0000000 0.0000000 0.0000000 0.0000000 #> data 0.0000000 0.0000000 0.0000000 0.2857143 #> computer programming 0.0000000 0.0000000 0.0000000 0.3333333 #> memory 1.0000000 1.0000000 0.0000000 0.4000000 #> spies 0.0000000 0.0000000 0.0000000 0.2500000 #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills 0.3333333 0.0000000 0.0000000 0.2500000 #> writing 0.3333333 0.0000000 0.0000000 0.0000000 #> debates 0.3333333 0.0000000 1.0000000 0.4000000 #> mathematics 1.0000000 1.0000000 0.0000000 0.5000000 #> Smart 0.0000000 0.0000000 0.7500000 0.1666667 #> Brain 0.0000000 0.0000000 1.0000000 0.3333333 #> Science 0.0000000 0.0000000 0.0000000 0.2000000 #> Genius 0.0000000 0.0000000 0.0000000 0.1666667 #> University 1.0000000 1.0000000 0.0000000 0.2500000 #> Knowledge 1.0000000 1.0000000 0.0000000 0.0000000 #> Books 1.0000000 1.0000000 0.0000000 0.5000000 #> Problem solving 0.0000000 0.0000000 1.0000000 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1.0000000 #> smart people 1.0000000 1.0000000 0.3333333 0.0000000 0.0000000 #> brain 0.5000000 0.0000000 0.5000000 0.0000000 0.0000000 #> genius 0.3333333 1.0000000 0.0000000 0.0000000 0.0000000 #> technology 0.5000000 1.0000000 0.3333333 0.0000000 0.0000000 #> science 0.8000000 1.0000000 0.4000000 0.0000000 0.0000000 #> puzzles 0.3333333 0.0000000 0.4285714 0.0000000 0.0000000 #> knowledge 0.0000000 0.0000000 0.0000000 0.5000000 0.5000000 #> learning 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> reading 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> math 0.2000000 0.0000000 0.2000000 1.0000000 1.0000000 #> professor 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> IQ 0.2500000 0.0000000 0.5000000 0.0000000 0.0000000 #> chess 0.1666667 0.0000000 0.1666667 0.0000000 0.0000000 #> logic 0.2500000 0.0000000 0.5000000 0.0000000 0.0000000 #> debate 0.5000000 0.0000000 0.6666667 NaN 0.5000000 #> computer 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> school 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> education 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> grades NaN 0.0000000 0.0000000 1.0000000 1.0000000 #> university 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> teacher 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> problem solving 0.2500000 0.2000000 0.8000000 0.0000000 0.0000000 #> critical thinking 0.4000000 0.0000000 0.6000000 0.0000000 0.0000000 #> innovation 0.8000000 1.0000000 0.3333333 0.0000000 0.0000000 #> coding 0.5000000 1.0000000 0.2000000 0.0000000 0.0000000 #> intelligence agency 0.0000000 0.4000000 0.0000000 0.0000000 0.0000000 #> library 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> study 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> intelligence quotient 0.2500000 0.0000000 0.2500000 0.0000000 0.0000000 #> scholarship 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> academic 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> history 0.5000000 1.0000000 0.2500000 0.0000000 0.0000000 #> linguistics 0.2500000 0.0000000 0.3333333 1.0000000 1.0000000 #> psychology 0.0000000 0.0000000 0.3333333 0.0000000 0.0000000 #> philosophy 0.2500000 0.0000000 0.5000000 0.0000000 0.0000000 #> neuroscience 0.2500000 0.0000000 0.5000000 0.0000000 0.0000000 #> smartwatch NA NA NA NA NA #> artificial intelligence 1.0000000 1.0000000 0.6666667 0.0000000 0.0000000 #> research 0.0000000 0.2000000 0.2500000 0.6666667 0.8000000 #> discoveries 0.6666667 1.0000000 0.0000000 0.0000000 0.0000000 #> inventions 0.6000000 1.0000000 0.2500000 0.0000000 0.0000000 #> Mensa 0.0000000 0.0000000 0.2000000 0.0000000 0.0000000 #> trivia 0.0000000 0.0000000 0.0000000 0.7500000 0.6666667 #> quantum physics 0.5000000 1.0000000 0.0000000 0.0000000 0.0000000 #> analytics 0.6000000 1.0000000 0.2000000 0.0000000 0.0000000 #> strategy games NA NA NA NA NA #> smart 0.2500000 0.0000000 0.4000000 0.0000000 0.0000000 #> tests 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> book smart 0.0000000 0.0000000 0.2500000 0.6666667 0.5000000 #> brains 0.2500000 0.0000000 0.4000000 0.0000000 0.0000000 #> wisdom 0.6666667 0.0000000 0.8000000 0.0000000 0.0000000 #> Stephen Hawking 0.7500000 0.8333333 0.4000000 0.0000000 0.0000000 #> clever 0.2500000 0.0000000 0.4000000 0.0000000 0.0000000 #> high scores NA NA NA NA NA #> mental NA NA NA NA NA #> intellectuals 0.2000000 0.0000000 0.2857143 0.0000000 0.0000000 #> savvy 0.2000000 0.0000000 0.3333333 0.0000000 0.0000000 #> success 0.6000000 0.1428571 0.6666667 0.2000000 0.0000000 #> nerd NA NA NA NA NA #> thinking 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 #> comprehension 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> understanding 0.2500000 0.0000000 0.6000000 0.0000000 0.0000000 #> creativity 1.0000000 0.8333333 0.4000000 0.0000000 0.0000000 #> insight 0.4000000 0.0000000 0.8000000 0.0000000 0.0000000 #> mastery NA NA NA NA NA #> scholars 0.0000000 0.0000000 0.0000000 0.3333333 0.5000000 #> expertise 0.5000000 0.5000000 0.5000000 0.0000000 0.0000000 #> intelligence agencies 0.5000000 0.6666667 0.0000000 0.0000000 0.0000000 #> cunning NA NA NA NA NA #> bright NA NA NA NA NA #> aptitude 0.0000000 0.0000000 0.2500000 0.3333333 0.3333333 #> scholarships 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> analysis 0.2500000 0.2000000 0.5000000 0.0000000 0.0000000 #> competition 0.5000000 0.3333333 1.0000000 0.0000000 0.0000000 #> strategy 0.2500000 0.3333333 1.0000000 0.0000000 0.0000000 #> apt brain NA NA NA NA NA #> achievements NA NA NA NA NA #> curiosity 0.6666667 1.0000000 0.5000000 0.0000000 0.0000000 #> observation NA NA NA NA NA #> quick witted 0.2500000 0.0000000 0.3333333 0.0000000 0.0000000 #> informed 0.0000000 0.0000000 0.2000000 0.0000000 0.0000000 #> street smart NA NA NA NA NA #> Smart people 0.6666667 1.0000000 0.5000000 0.5000000 0.3333333 #> Albert Einstein 0.8000000 0.8333333 0.4000000 0.0000000 0.0000000 #> AI 0.7500000 1.0000000 0.2500000 0.0000000 0.0000000 #> professors 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> scientists 0.6666667 1.0000000 0.5000000 0.0000000 0.0000000 #> data 0.6000000 1.0000000 0.1666667 0.0000000 0.0000000 #> computer programming 0.6666667 1.0000000 0.0000000 0.0000000 0.0000000 #> memory 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> spies 0.2500000 0.4000000 0.0000000 0.0000000 0.0000000 #> codes NA NA NA NA NA #> cybersecurity NA NA NA NA NA #> hacking NA NA NA NA NA #> language skills 0.5000000 0.0000000 0.6000000 0.3333333 0.6666667 #> writing 0.5000000 0.5000000 0.5000000 0.0000000 0.0000000 #> debates 0.3333333 0.0000000 0.4000000 0.2000000 0.3333333 #> mathematics 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> Smart 0.0000000 0.0000000 0.0000000 0.2000000 0.2000000 #> Brain 0.3333333 0.0000000 0.5000000 0.2000000 0.2000000 #> Science 0.3333333 1.0000000 0.4000000 0.0000000 0.0000000 #> Genius 0.5000000 1.0000000 0.2000000 0.0000000 0.0000000 #> University 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> Knowledge 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> Books 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> Problem solving 0.5000000 0.0000000 1.0000000 0.0000000 0.0000000 #> Chess 0.2500000 0.0000000 0.3333333 0.0000000 0.0000000 #> Mathematics 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> Technology 0.5000000 1.0000000 0.1666667 0.0000000 0.0000000 #> Inventions NA NA NA NA NA #> Bill Gates 0.5000000 1.0000000 0.0000000 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA NA NA #> Steve Jobs 0.8000000 1.0000000 0.3333333 0.0000000 0.0000000 #> Education 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> Grades 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> Diploma 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> Scholarships 0.0000000 0.0000000 0.0000000 1.0000000 1.0000000 #> Logic 0.0000000 0.0000000 0.2500000 0.0000000 0.0000000 #> Analysis 0.3333333 0.4000000 0.0000000 0.5000000 0.5000000 #> Professor Study Exam Intelligent design #> intelligence 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1.0000000 1.0000000 NA NA #> book smart 1.0000000 1.0000000 NA NA #> brains 0.0000000 0.0000000 NA NA #> wisdom 0.0000000 0.0000000 NA NA #> Stephen Hawking 0.0000000 0.0000000 NA NA #> clever 0.0000000 0.0000000 NA NA #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals 0.0000000 0.0000000 NA NA #> savvy 0.0000000 0.0000000 NA NA #> success 0.2000000 0.2000000 NA NA #> nerd NA NA NA NA #> thinking 0.0000000 0.0000000 NA NA #> comprehension 1.0000000 1.0000000 NA NA #> understanding 0.0000000 0.0000000 NA NA #> creativity 0.0000000 0.0000000 NA NA #> insight 0.0000000 0.0000000 NA NA #> mastery NA NA NA NA #> scholars 0.5000000 0.7500000 NA NA #> expertise 0.0000000 0.0000000 NA NA #> intelligence agencies 0.0000000 0.0000000 NA NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude 0.0000000 0.5000000 NA NA #> scholarships 1.0000000 1.0000000 NA NA #> analysis 0.0000000 0.0000000 NA NA #> competition 0.0000000 0.0000000 NA NA #> strategy 0.0000000 0.0000000 NA NA #> 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Knowledge 1.0000000 1.0000000 NA NA #> Books 1.0000000 1.0000000 NA NA #> Problem solving 0.0000000 0.0000000 NA NA #> Chess 0.0000000 0.0000000 NA NA #> Mathematics 1.0000000 1.0000000 NA NA #> Technology 0.0000000 0.0000000 NA NA #> Inventions NA NA NA NA #> Bill Gates 0.0000000 0.0000000 NA NA #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs 0.0000000 0.0000000 NA NA #> Education 1.0000000 1.0000000 NA NA #> Grades 1.0000000 1.0000000 NA NA #> Diploma 1.0000000 1.0000000 NA NA #> Scholarships 1.0000000 1.0000000 NA NA #> Logic 0.0000000 0.0000000 NA NA #> Analysis 0.7500000 0.5000000 NA NA #> Artificial Intelligence Computer Robot Coding #> intelligence 0.0000000 NA NA 0.0000000 #> Einstein 0.7500000 NA NA 0.7500000 #> books 0.0000000 NA NA 0.0000000 #> IQ tests 0.0000000 NA NA 0.0000000 #> college 0.0000000 NA NA 0.0000000 #> smart people 1.0000000 NA NA 1.0000000 #> brain 0.0000000 NA NA 0.0000000 #> genius 1.0000000 NA NA 1.0000000 #> technology 1.0000000 NA NA 1.0000000 #> science 1.0000000 NA NA 1.0000000 #> puzzles 0.0000000 NA NA 0.0000000 #> knowledge 0.0000000 NA NA 0.0000000 #> learning 0.0000000 NA NA 0.0000000 #> reading 0.0000000 NA NA 0.0000000 #> math 0.0000000 NA NA 0.0000000 #> professor 0.0000000 NA NA 0.0000000 #> IQ 0.0000000 NA NA 0.0000000 #> chess 0.0000000 NA NA 0.0000000 #> logic 0.0000000 NA NA 0.0000000 #> debate 0.0000000 NA NA 0.0000000 #> computer 0.0000000 NA NA 0.0000000 #> school 0.0000000 NA NA 0.0000000 #> education 0.0000000 NA NA 0.0000000 #> grades 0.0000000 NA NA 0.0000000 #> university 0.0000000 NA NA 0.0000000 #> teacher 0.0000000 NA NA 0.0000000 #> problem solving 0.2000000 NA NA 0.2500000 #> critical thinking 0.0000000 NA NA 0.0000000 #> innovation 1.0000000 NA NA 1.0000000 #> coding 1.0000000 NA NA 1.0000000 #> intelligence agency 0.2500000 NA NA 0.5000000 #> library 0.0000000 NA NA 0.0000000 #> study 0.0000000 NA NA 0.0000000 #> intelligence quotient 0.0000000 NA NA 0.0000000 #> scholarship 0.0000000 NA NA 0.0000000 #> academic 0.0000000 NA NA 0.0000000 #> history 1.0000000 NA NA 1.0000000 #> linguistics 0.0000000 NA NA 0.0000000 #> psychology 0.0000000 NA NA 0.0000000 #> philosophy 0.0000000 NA NA 0.0000000 #> neuroscience 0.0000000 NA NA 0.0000000 #> smartwatch NA NA NA NA #> artificial intelligence 1.0000000 NA NA 1.0000000 #> research 0.2000000 NA NA 0.2000000 #> discoveries 1.0000000 NA NA 1.0000000 #> inventions 1.0000000 NA NA 1.0000000 #> Mensa 0.0000000 NA NA 0.0000000 #> trivia 0.0000000 NA NA 0.0000000 #> quantum physics 1.0000000 NA NA 1.0000000 #> analytics 1.0000000 NA NA 1.0000000 #> strategy games NA NA NA NA #> smart 0.0000000 NA NA 0.0000000 #> tests 0.0000000 NA NA 0.0000000 #> book smart 0.0000000 NA NA 0.0000000 #> brains 0.0000000 NA NA 0.0000000 #> wisdom 0.0000000 NA NA 0.0000000 #> Stephen Hawking 0.8000000 NA NA 0.8333333 #> clever 0.0000000 NA NA 0.0000000 #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals 0.0000000 NA NA 0.0000000 #> savvy 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0.3333333 0.2500000 NA #> savvy 0.0000000 0.2857143 0.2500000 NA #> success 0.2000000 0.3750000 0.6666667 NA #> nerd NA NA NA NA #> thinking 0.0000000 0.0000000 0.0000000 NA #> comprehension 0.0000000 0.7500000 0.0000000 NA #> understanding 0.2000000 0.5714286 1.0000000 NA #> creativity 0.6000000 0.1666667 0.6666667 NA #> insight 0.2500000 0.6666667 0.6666667 NA #> mastery NA NA NA NA #> scholars 0.0000000 0.1666667 0.0000000 NA #> expertise 0.5000000 0.3333333 0.5000000 NA #> intelligence agencies 0.0000000 0.0000000 0.0000000 NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude 0.0000000 0.0000000 0.0000000 NA #> scholarships 0.0000000 0.2000000 0.0000000 NA #> analysis 0.0000000 0.5000000 0.6666667 NA #> competition 0.6000000 0.6000000 1.0000000 NA #> strategy 0.6000000 0.5000000 0.5000000 NA #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity 1.0000000 0.1666667 0.5000000 NA #> observation NA NA NA NA #> quick witted 0.0000000 0.4000000 0.5000000 NA #> informed 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#> trivia 0.0000000 0.0000000 1.0000000 #> quantum physics 0.0000000 0.0000000 0.0000000 #> analytics 0.0000000 0.0000000 0.0000000 #> strategy games NA NA NA #> smart 1.0000000 0.7500000 0.0000000 #> tests 0.0000000 0.0000000 1.0000000 #> book smart 0.0000000 0.0000000 0.7500000 #> brains 1.0000000 0.5000000 0.0000000 #> wisdom 1.0000000 0.3333333 0.0000000 #> Stephen Hawking 0.5000000 0.2500000 0.0000000 #> clever 1.0000000 0.8000000 0.0000000 #> high scores NA NA NA #> mental NA NA NA #> intellectuals 1.0000000 0.7500000 0.0000000 #> savvy 1.0000000 0.7500000 0.0000000 #> success 0.6666667 0.7500000 0.2000000 #> nerd NA NA NA #> thinking 1.0000000 0.5000000 0.0000000 #> comprehension 0.0000000 0.0000000 1.0000000 #> understanding 1.0000000 0.6666667 0.0000000 #> creativity 0.3333333 0.3333333 0.0000000 #> insight 1.0000000 1.0000000 0.0000000 #> mastery NA NA NA #> scholars 0.3333333 0.3333333 0.6666667 #> expertise 0.0000000 0.0000000 0.0000000 #> intelligence agencies 0.0000000 0.0000000 NaN #> cunning NA NA NA #> bright NA NA NA #> aptitude 0.0000000 0.0000000 0.5000000 #> scholarships 0.0000000 0.0000000 1.0000000 #> analysis 0.0000000 0.0000000 0.0000000 #> competition 0.0000000 0.0000000 0.0000000 #> strategy 0.3333333 0.2500000 0.0000000 #> apt brain NA NA NA #> achievements NA NA NA #> curiosity 0.0000000 0.0000000 0.0000000 #> observation NA NA NA #> quick witted 1.0000000 0.7500000 0.0000000 #> informed 1.0000000 0.6666667 0.0000000 #> street smart NA NA NA #> Smart people 0.0000000 0.0000000 0.0000000 #> Albert Einstein 0.3333333 0.5000000 0.0000000 #> AI 0.0000000 0.0000000 0.0000000 #> professors 0.0000000 0.0000000 1.0000000 #> scientists 0.0000000 0.0000000 0.0000000 #> data 0.0000000 0.0000000 0.0000000 #> computer programming 0.0000000 0.0000000 0.0000000 #> memory 0.0000000 0.0000000 1.0000000 #> spies 0.0000000 0.0000000 0.0000000 #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills 0.6666667 0.6666667 0.5000000 #> writing 0.0000000 0.0000000 0.3333333 #> debates 1.0000000 0.5000000 0.0000000 #> mathematics 0.0000000 0.0000000 1.0000000 #> Smart 0.6666667 0.5000000 0.0000000 #> Brain 0.5000000 0.5000000 0.0000000 #> Science 0.0000000 0.0000000 0.0000000 #> Genius 0.0000000 0.0000000 0.0000000 #> University 0.0000000 0.0000000 1.0000000 #> Knowledge 0.0000000 0.0000000 1.0000000 #> Books 0.0000000 0.0000000 1.0000000 #> Problem solving 1.0000000 0.5000000 0.0000000 #> Chess 1.0000000 0.7500000 0.0000000 #> Mathematics 0.0000000 0.0000000 1.0000000 #> Technology 0.0000000 0.0000000 0.0000000 #> Inventions NA NA NA #> Bill Gates 0.0000000 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA #> Steve Jobs 0.0000000 0.0000000 0.0000000 #> Education 0.0000000 0.0000000 1.0000000 #> Grades 0.0000000 0.0000000 1.0000000 #> Diploma 0.0000000 0.0000000 1.0000000 #> Scholarships 0.0000000 0.0000000 1.0000000 #> Logic 1.0000000 1.0000000 0.0000000 #> Analysis 0.0000000 0.0000000 0.0000000 #> peer review 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NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> 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NA NA NA #> genius NA NA NA NA NA #> technology NA NA NA NA NA #> science NA NA NA NA NA #> puzzles NA NA NA NA NA #> knowledge NA NA NA NA NA #> learning NA NA NA NA NA #> reading NA NA NA NA NA #> math NA NA NA NA NA #> professor NA NA NA NA NA #> IQ NA NA NA NA NA #> chess NA NA NA NA NA #> logic NA NA NA NA NA #> debate NA NA NA NA NA #> computer NA NA NA NA NA #> school NA NA NA NA NA #> education NA NA NA NA NA #> grades NA NA NA NA NA #> university NA NA NA NA NA #> teacher NA NA NA NA NA #> problem solving NA NA NA NA NA #> critical thinking NA NA NA NA NA #> innovation NA NA NA NA NA #> coding NA NA NA NA NA #> intelligence agency NA NA NA NA NA #> library NA NA NA NA NA #> study NA NA NA NA NA #> intelligence quotient NA NA NA NA NA #> scholarship NA NA NA NA NA #> academic NA NA NA NA NA #> history NA NA NA NA NA #> linguistics NA NA NA NA NA #> psychology NA NA NA NA NA #> philosophy NA NA NA NA NA #> neuroscience NA NA NA NA NA #> smartwatch NA NA NA NA NA #> artificial intelligence NA NA NA NA NA #> research NA NA NA NA NA #> discoveries NA NA NA NA NA #> inventions NA NA NA NA NA #> Mensa NA NA NA NA NA #> trivia NA NA NA NA NA #> quantum physics NA NA NA NA NA #> analytics NA NA NA NA NA #> strategy games NA NA NA NA NA #> smart NA NA NA NA NA #> tests NA NA NA NA NA #> book smart NA NA NA NA NA #> brains NA NA NA NA NA #> wisdom NA NA NA NA NA #> Stephen Hawking NA NA NA NA NA #> clever NA NA NA NA NA #> high scores NA NA NA NA NA #> mental NA NA NA NA NA #> intellectuals NA NA NA NA NA #> savvy NA NA NA NA NA #> success NA NA NA NA NA #> nerd NA NA NA NA NA #> thinking NA NA NA NA NA #> comprehension NA NA NA NA NA #> understanding NA NA NA NA NA #> creativity NA NA NA NA NA #> insight NA NA NA NA NA #> mastery NA NA NA NA NA #> scholars NA NA NA NA NA #> expertise NA NA NA NA NA #> intelligence agencies NA NA NA NA NA #> cunning NA NA NA NA NA #> bright NA NA NA NA NA #> aptitude NA NA NA NA NA #> scholarships NA NA NA NA NA #> analysis NA NA NA NA NA #> competition NA NA NA NA NA #> strategy NA NA NA NA NA #> apt brain NA NA NA NA NA #> achievements NA NA NA NA NA #> curiosity NA NA NA NA NA #> observation NA NA NA NA NA #> quick witted NA NA NA NA NA #> informed NA NA NA NA NA #> street smart NA NA NA NA NA #> Smart people NA NA NA NA NA #> Albert Einstein NA NA NA NA NA #> AI NA NA NA NA NA #> professors NA NA NA NA NA #> scientists NA NA NA NA NA #> data NA NA NA NA NA #> computer programming NA NA NA NA NA #> memory NA NA NA NA NA #> spies NA NA NA NA NA #> codes NA NA NA NA NA #> cybersecurity NA NA NA NA NA #> hacking NA NA NA NA NA #> language skills NA NA NA NA NA #> writing NA NA NA NA NA #> debates NA NA NA NA NA #> mathematics NA NA NA NA NA #> Smart NA NA NA NA NA #> Brain NA NA NA NA NA #> Science NA NA NA NA NA #> Genius NA NA NA NA NA #> University NA NA NA NA NA #> Knowledge NA NA NA NA NA #> Books NA NA NA NA NA #> Problem solving NA NA NA NA NA #> Chess NA NA NA NA NA #> Mathematics NA NA NA NA NA #> 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0.0000000 0.0000000 0.6000000 #> spies 0.0000000 0.0000000 0.0000000 #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills 0.2000000 0.8000000 0.3333333 #> writing 0.0000000 0.3333333 0.5000000 #> debates 0.6000000 0.2500000 0.5000000 #> mathematics 0.0000000 0.0000000 1.0000000 #> Smart 1.0000000 0.0000000 0.2500000 #> Brain 0.2500000 0.5000000 0.4000000 #> Science 0.0000000 0.0000000 0.0000000 #> Genius 0.0000000 0.0000000 0.0000000 #> University 0.0000000 0.0000000 0.5000000 #> Knowledge 0.0000000 0.0000000 0.5000000 #> Books 0.0000000 0.0000000 0.6666667 #> Problem solving 0.0000000 1.0000000 0.3333333 #> Chess 1.0000000 0.3333333 0.2000000 #> Mathematics 0.0000000 0.0000000 0.5000000 #> Technology 0.0000000 0.0000000 0.0000000 #> Inventions NA NA NA #> Bill Gates 0.0000000 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA #> Steve Jobs 0.0000000 0.0000000 0.0000000 #> Education 0.0000000 0.0000000 0.5000000 #> Grades 0.0000000 0.0000000 0.7500000 #> Diploma 0.0000000 0.0000000 1.0000000 #> Scholarships 0.0000000 0.0000000 0.3333333 #> Logic 1.0000000 0.0000000 0.0000000 #> Analysis 0.0000000 0.0000000 0.6000000 #> Adaptability Expertise Comprehension Reflection #> intelligence 0.5714286 NA 0.0000000 NA #> Einstein 0.5000000 NA 0.0000000 NA #> books 0.0000000 NA 0.5000000 NA #> IQ tests 0.6000000 NA 0.0000000 NA #> college 0.0000000 NA 1.0000000 NA #> smart people 0.0000000 NA 0.0000000 NA #> brain 0.6666667 NA 0.0000000 NA #> genius 0.0000000 NA 0.0000000 NA #> technology 0.2000000 NA 0.0000000 NA #> science 0.2000000 NA 0.0000000 NA #> puzzles 0.7142857 NA 0.0000000 NA #> knowledge 0.2500000 NA 0.5000000 NA #> learning 0.0000000 NA 1.0000000 NA #> reading 0.0000000 NA 0.0000000 NA #> math 0.2000000 NA 0.0000000 NA #> professor 0.0000000 NA 0.6666667 NA #> IQ 0.6000000 NA 0.0000000 NA #> chess 0.5000000 NA 0.0000000 NA #> logic 0.8000000 NA 0.0000000 NA #> debate 0.7500000 NA 1.0000000 NA #> computer 0.0000000 NA 0.5000000 NA #> school 0.0000000 NA NaN NA #> education 0.0000000 NA 0.6666667 NA #> grades 0.0000000 NA 1.0000000 NA #> university 0.0000000 NA 0.5000000 NA #> teacher 0.0000000 NA NaN NA #> problem solving 0.7500000 NA 0.3333333 NA #> critical thinking 0.7142857 NA 0.0000000 NA #> innovation 0.1666667 NA 0.0000000 NA #> coding 0.1666667 NA 0.0000000 NA #> intelligence agency 0.0000000 NA 0.0000000 NA #> library 0.0000000 NA 0.6666667 NA #> study 0.0000000 NA 0.6666667 NA #> intelligence quotient 0.7500000 NA 0.0000000 NA #> scholarship 0.0000000 NA 1.0000000 NA #> academic 0.0000000 NA 1.0000000 NA #> history 0.2500000 NA 0.0000000 NA #> linguistics 0.2000000 NA 1.0000000 NA #> psychology 0.6666667 NA 0.5000000 NA #> philosophy 0.6666667 NA 0.5000000 NA #> neuroscience 0.5000000 NA 0.5000000 NA #> smartwatch NA NA NA NA #> artificial intelligence 0.2500000 NA 0.0000000 NA #> research 0.0000000 NA 1.0000000 NA #> discoveries 0.0000000 NA 0.0000000 NA #> inventions 0.2000000 NA 0.0000000 NA #> Mensa 0.4000000 NA 0.0000000 NA #> trivia 0.0000000 NA 0.0000000 NA #> quantum physics 0.0000000 NA 0.0000000 NA #> analytics 0.0000000 NA 0.0000000 NA #> strategy games NA NA NA NA #> smart 0.4000000 NA NaN NA #> tests 0.0000000 NA 0.6666667 NA #> book smart 0.2500000 NA NaN NA #> brains 0.6000000 NA 0.0000000 NA #> wisdom 1.0000000 NA 1.0000000 NA #> Stephen Hawking 0.2000000 NA NaN NA #> clever 0.5000000 NA 0.0000000 NA #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals 0.4000000 NA 0.0000000 NA #> savvy 0.4000000 NA 0.0000000 NA #> success 1.0000000 NA 0.0000000 NA #> nerd NA NA NA NA #> thinking 0.2500000 NA 0.0000000 NA #> comprehension 0.0000000 NA 1.0000000 NA #> understanding 0.8000000 NA 0.3333333 NA #> creativity 0.5000000 NA 0.0000000 NA #> insight 0.8333333 NA 0.5000000 NA #> mastery NA NA NA NA #> scholars 0.2000000 NA 0.3333333 NA #> expertise 0.3333333 NA NaN NA #> intelligence agencies 0.0000000 NA 0.0000000 NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude 0.3333333 NA NaN NA #> scholarships 0.0000000 NA 0.6666667 NA #> analysis 0.7500000 NA 0.0000000 NA #> competition 1.0000000 NA 0.5000000 NA #> strategy 1.0000000 NA 0.3333333 NA #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity 0.2000000 NA 0.0000000 NA #> observation NA NA NA NA #> quick witted 0.6000000 NA 0.0000000 NA #> informed 0.2500000 NA 0.0000000 NA #> street smart NA NA NA NA #> Smart people 0.2500000 NA 0.5000000 NA #> Albert Einstein 0.3333333 NA 0.0000000 NA #> AI 0.2500000 NA 0.0000000 NA #> professors 0.0000000 NA 0.5000000 NA #> scientists 0.2500000 NA 0.0000000 NA #> data 0.0000000 NA 0.0000000 NA #> computer programming 0.0000000 NA 0.0000000 NA #> memory 0.0000000 NA 0.6666667 NA #> spies 0.0000000 NA 0.0000000 NA #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills 0.7500000 NA 0.6666667 NA #> writing 0.6666667 NA 0.0000000 NA #> debates 0.6666667 NA 0.0000000 NA #> mathematics 0.0000000 NA NaN NA #> Smart 0.0000000 NA 0.3333333 NA #> Brain 0.6000000 NA 1.0000000 NA #> Science 0.2000000 NA 0.0000000 NA #> Genius 0.0000000 NA 0.0000000 NA #> University 0.0000000 NA 0.0000000 NA #> Knowledge 0.0000000 NA 1.0000000 NA #> Books 0.0000000 NA 0.5000000 NA #> Problem solving 1.0000000 NA 0.0000000 NA #> Chess 0.6000000 NA 0.0000000 NA #> Mathematics 0.0000000 NA 1.0000000 NA #> Technology 0.0000000 NA 0.0000000 NA #> Inventions NA NA NA NA #> Bill Gates 0.0000000 NA 0.0000000 NA #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs 0.1666667 NA 0.0000000 NA #> Education 0.0000000 NA 0.6666667 NA #> Grades 0.0000000 NA 1.0000000 NA #> Diploma 0.0000000 NA 0.0000000 NA #> Scholarships 0.0000000 NA 0.0000000 NA #> Logic 0.5000000 NA 0.0000000 NA #> Analysis 0.0000000 NA 0.5000000 NA #> Brain power Cognition Professionalism Thoughtfulness #> intelligence NA NA NA NA #> Einstein NA NA NA NA #> books NA NA NA NA #> IQ tests NA NA NA NA #> college NA NA NA NA #> smart people NA NA NA NA #> brain NA NA NA NA #> genius NA NA NA NA #> technology NA NA NA NA #> science NA NA NA NA #> puzzles NA NA NA NA #> knowledge NA NA NA NA #> learning NA NA NA NA #> reading NA NA NA NA #> math NA NA NA NA #> professor NA NA NA NA #> IQ NA NA NA NA #> chess NA NA NA NA #> logic NA NA NA NA #> debate NA NA NA NA #> computer NA NA NA NA #> school NA NA NA NA #> education NA NA NA NA #> grades NA NA NA NA #> university NA NA NA NA #> teacher NA NA NA NA #> problem solving NA NA NA NA #> critical thinking NA NA NA NA #> innovation NA NA NA NA #> coding NA NA NA NA #> intelligence agency NA NA NA NA #> library NA NA NA NA #> study NA NA NA NA #> intelligence quotient NA NA NA NA #> scholarship NA NA NA NA #> academic NA NA NA NA #> history NA NA NA NA #> linguistics NA NA NA NA #> psychology NA NA NA NA #> philosophy NA NA NA NA #> neuroscience NA NA NA NA #> smartwatch NA NA NA NA #> artificial intelligence NA NA NA NA #> research NA NA NA NA #> discoveries NA NA NA NA #> inventions NA NA NA NA #> Mensa NA NA NA NA #> trivia NA NA NA NA #> quantum physics NA NA NA NA #> analytics NA NA NA NA #> strategy games NA NA NA NA #> smart NA NA NA NA #> tests NA NA NA NA #> book smart NA NA NA NA #> brains NA NA NA NA #> wisdom NA NA NA NA #> Stephen Hawking NA NA NA NA #> clever NA NA NA NA #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals NA NA NA NA #> savvy NA NA NA NA #> success NA NA NA NA #> nerd NA NA NA NA #> thinking NA NA NA NA #> comprehension NA NA NA NA #> understanding NA NA NA NA #> creativity NA NA NA NA #> insight NA NA NA NA #> mastery NA NA NA NA #> scholars NA NA NA NA #> expertise NA NA NA NA #> intelligence agencies NA NA NA NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude NA NA NA NA #> scholarships NA NA NA NA #> analysis NA NA NA NA #> competition NA NA NA NA #> strategy NA NA NA NA #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity NA NA NA NA #> observation NA NA NA NA #> quick witted NA NA NA NA #> informed NA NA NA NA #> street smart NA NA NA NA #> Smart people NA NA NA NA #> Albert Einstein NA NA NA NA #> AI NA NA NA NA #> professors NA NA NA NA #> scientists NA NA NA NA #> data NA NA NA NA #> computer programming NA NA NA NA #> memory NA NA NA NA #> spies NA NA NA NA #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills NA NA NA NA #> writing NA NA NA NA #> debates NA NA NA NA #> mathematics NA NA NA NA #> Smart NA NA NA NA #> Brain NA NA NA NA #> Science NA NA NA NA #> Genius NA NA NA NA #> University NA NA NA NA #> Knowledge NA NA NA NA #> Books NA NA NA NA #> Problem solving NA NA NA NA #> Chess NA NA NA NA #> Mathematics NA NA NA NA #> Technology NA NA NA NA #> Inventions NA NA NA NA #> Bill Gates NA NA NA NA #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs NA NA NA NA #> Education NA NA NA NA #> Grades NA NA NA NA #> Diploma NA NA NA NA #> Scholarships NA NA NA NA #> Logic NA NA NA NA #> Analysis NA NA NA NA #> Information processing Intellectual conversations #> intelligence NA 1.0000000 #> Einstein NA 0.2500000 #> books NA 0.0000000 #> IQ tests NA 1.0000000 #> college NA 0.0000000 #> smart people NA 0.0000000 #> brain NA 0.6000000 #> genius NA 0.0000000 #> technology NA 0.0000000 #> science NA 0.0000000 #> puzzles NA 0.8000000 #> knowledge NA 0.5000000 #> learning NA 0.0000000 #> reading NA 0.0000000 #> math NA 0.3333333 #> professor NA 0.0000000 #> IQ NA 1.0000000 #> chess NA 0.8000000 #> logic NA 0.5000000 #> debate NA 0.5000000 #> computer NA 0.0000000 #> school NA 0.0000000 #> education NA 0.0000000 #> grades NA 0.0000000 #> university NA 0.0000000 #> teacher NA 0.0000000 #> problem solving NA 0.6666667 #> critical thinking NA 0.6000000 #> innovation NA 0.0000000 #> coding NA 0.0000000 #> intelligence agency NA 0.0000000 #> library NA 0.0000000 #> study NA 0.0000000 #> intelligence quotient NA 1.0000000 #> scholarship NA 0.0000000 #> academic NA 0.0000000 #> history NA 0.0000000 #> linguistics NA 0.3333333 #> psychology NA 0.6666667 #> philosophy NA 1.0000000 #> neuroscience NA 0.3333333 #> smartwatch NA NA #> artificial intelligence NA 0.0000000 #> research NA 0.0000000 #> discoveries NA 0.0000000 #> inventions NA 0.0000000 #> Mensa NA 1.0000000 #> trivia NA 0.0000000 #> quantum physics NA 0.0000000 #> analytics NA 0.0000000 #> strategy games NA NA #> smart NA 1.0000000 #> tests NA 0.0000000 #> book smart NA 0.0000000 #> brains NA 0.6666667 #> wisdom NA 0.3333333 #> Stephen Hawking NA 0.2500000 #> clever NA 1.0000000 #> high scores NA NA #> mental NA NA #> intellectuals NA 1.0000000 #> savvy NA 1.0000000 #> success NA 0.5000000 #> nerd NA NA #> thinking NA 1.0000000 #> comprehension NA 0.0000000 #> understanding NA 0.3333333 #> creativity NA 0.2500000 #> insight NA 0.7500000 #> mastery NA NA #> scholars NA 0.6666667 #> expertise NA 0.5000000 #> intelligence agencies NA 0.0000000 #> cunning NA NA #> bright NA NA #> aptitude NA 0.0000000 #> scholarships NA 0.0000000 #> analysis NA 0.0000000 #> competition NA 0.0000000 #> strategy NA 0.3333333 #> apt brain NA NA #> achievements NA NA #> curiosity NA 0.0000000 #> observation NA NA #> quick witted NA 1.0000000 #> informed NA 1.0000000 #> street smart NA NA #> Smart people NA 0.0000000 #> Albert Einstein NA 0.3333333 #> AI NA 0.0000000 #> professors NA 0.0000000 #> scientists NA 0.0000000 #> data NA 0.0000000 #> computer programming NA 0.0000000 #> memory NA 0.0000000 #> spies NA 0.0000000 #> codes NA NA #> cybersecurity NA NA #> hacking NA NA #> language skills NA 0.6666667 #> writing NA 0.0000000 #> debates NA 0.6666667 #> mathematics NA 0.0000000 #> Smart NA 0.7500000 #> Brain NA 0.2500000 #> Science NA 0.0000000 #> Genius NA 0.0000000 #> University NA 0.0000000 #> Knowledge NA 0.0000000 #> Books NA 0.0000000 #> Problem solving NA 0.3333333 #> Chess NA 1.0000000 #> Mathematics NA 0.0000000 #> Technology NA 0.0000000 #> Inventions NA NA #> Bill Gates NA 0.0000000 #> Neil deGrasse Tyson NA NA #> Steve Jobs NA 0.0000000 #> Education NA 0.0000000 #> Grades NA 0.0000000 #> Diploma NA 0.0000000 #> Scholarships NA 0.0000000 #> Logic NA 1.0000000 #> Analysis NA 0.0000000 #> Education level Empirical evidence Rationality #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA NA NA #> observation NA NA NA #> quick witted NA NA NA #> informed NA NA NA #> street smart NA NA NA #> Smart people NA NA NA #> Albert Einstein NA NA NA #> AI NA NA NA #> professors NA NA NA #> scientists NA NA NA #> data NA NA NA #> computer programming NA NA NA #> memory NA NA NA #> spies NA NA NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA NA NA #> writing NA NA NA #> debates NA NA NA #> mathematics NA NA NA #> Smart NA NA NA #> Brain NA NA NA #> Science NA NA NA #> Genius NA NA NA #> University NA NA NA #> Knowledge NA NA NA #> Books NA NA NA #> Problem solving NA NA NA #> Chess NA NA NA #> Mathematics NA NA NA #> Technology NA NA NA #> Inventions NA NA NA #> Bill Gates NA NA NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA NA NA #> Education NA NA NA #> Grades NA NA NA #> Diploma NA NA NA #> Scholarships NA NA NA #> Logic NA NA NA #> Analysis NA NA NA #> Intellectual capacity Mental agility Scholars #> intelligence 1.0 0.5000000 0.2000000 #> Einstein 0.0 0.5000000 0.3333333 #> books 0.0 0.0000000 0.2000000 #> IQ tests 1.0 0.5000000 0.2500000 #> college 0.0 0.0000000 0.0000000 #> smart people 0.0 0.0000000 0.0000000 #> brain 0.5 0.8333333 0.6666667 #> genius 0.0 0.0000000 0.0000000 #> technology 0.0 0.1428571 0.0000000 #> science 0.0 0.1666667 0.0000000 #> puzzles 1.0 0.6250000 0.4000000 #> knowledge 0.0 0.2500000 0.0000000 #> learning 0.0 0.0000000 0.3333333 #> reading 0.0 0.0000000 0.2000000 #> math NaN 0.2000000 0.0000000 #> professor 0.0 0.0000000 0.0000000 #> IQ 1.0 0.5000000 0.3333333 #> chess 0.5 0.5714286 0.4000000 #> logic 0.0 0.8333333 0.7500000 #> debate 0.0 0.7500000 1.0000000 #> computer NaN 0.0000000 0.0000000 #> school 0.0 0.0000000 0.3333333 #> education 0.0 0.0000000 0.3333333 #> grades 0.0 0.0000000 0.5000000 #> university 0.0 0.0000000 0.2500000 #> teacher NaN 0.0000000 0.3333333 #> problem solving 1.0 0.7500000 0.5000000 #> critical thinking 0.5 0.8571429 1.0000000 #> innovation 0.0 0.1428571 0.0000000 #> coding 0.0 0.2000000 0.0000000 #> intelligence agency 0.0 0.0000000 0.0000000 #> library 0.0 0.0000000 0.0000000 #> study 0.0 0.0000000 0.2500000 #> intelligence quotient NaN 0.6000000 0.2500000 #> scholarship 0.0 0.0000000 0.0000000 #> academic 0.0 0.0000000 0.0000000 #> history 0.0 0.1666667 0.0000000 #> linguistics 0.0 0.2500000 0.0000000 #> psychology 0.0 1.0000000 0.7500000 #> philosophy 1.0 0.7500000 0.6666667 #> neuroscience 0.5 0.8000000 0.7500000 #> smartwatch NA NA NA #> artificial intelligence 0.0 0.2000000 0.0000000 #> research 0.0 0.0000000 0.0000000 #> discoveries 0.0 0.0000000 0.0000000 #> inventions 0.0 0.1428571 0.0000000 #> Mensa 1.0 0.5000000 0.3333333 #> trivia 0.0 0.0000000 0.0000000 #> quantum physics NaN 0.0000000 0.0000000 #> analytics 0.0 0.0000000 0.0000000 #> strategy games NA NA NA #> smart 1.0 0.4000000 0.0000000 #> tests 0.0 0.0000000 0.0000000 #> book smart 0.0 0.2500000 0.0000000 #> brains 0.5 0.8000000 0.6666667 #> wisdom 0.0 1.0000000 0.7500000 #> Stephen Hawking 0.0 0.4000000 0.2500000 #> clever 1.0 0.5000000 0.0000000 #> high scores NA NA NA #> mental NA NA NA #> intellectuals 1.0 0.3333333 0.0000000 #> savvy 1.0 0.3333333 0.0000000 #> success 0.0 0.7500000 0.4000000 #> nerd NA NA NA #> thinking 1.0 0.3333333 0.3333333 #> comprehension 0.0 0.0000000 0.3333333 #> understanding 0.5 0.8571429 0.8000000 #> creativity 0.0 0.4285714 0.2500000 #> insight NaN 1.0000000 1.0000000 #> mastery NA NA NA #> scholars 0.0 0.1666667 0.0000000 #> expertise NaN 0.5000000 0.0000000 #> intelligence agencies NaN 0.0000000 0.0000000 #> cunning NA NA NA #> bright NA NA NA #> aptitude NaN 0.0000000 0.0000000 #> scholarships 0.0 0.0000000 0.0000000 #> analysis 0.0 0.6666667 0.7500000 #> competition 0.0 1.0000000 0.7500000 #> strategy 0.0 1.0000000 0.7500000 #> apt brain NA NA NA #> achievements NA NA NA #> curiosity 0.0 0.3333333 0.2500000 #> observation NA NA NA #> quick witted 1.0 0.6000000 0.0000000 #> informed 1.0 0.2500000 0.0000000 #> street smart NA NA NA #> Smart people 0.0 0.2000000 0.0000000 #> Albert Einstein 0.0 0.2857143 0.0000000 #> AI 0.0 0.2000000 0.0000000 #> professors 0.0 0.0000000 0.0000000 #> scientists 0.0 0.2000000 0.0000000 #> data 0.0 0.0000000 0.0000000 #> computer programming 0.0 0.0000000 0.0000000 #> memory 0.0 0.0000000 0.0000000 #> spies 0.0 0.0000000 0.0000000 #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills 0.0 0.8000000 1.0000000 #> writing 0.0 0.3333333 0.0000000 #> debates 0.0 0.7500000 0.6666667 #> mathematics NaN NaN 1.0000000 #> Smart 1.0 0.0000000 0.0000000 #> Brain 0.0 0.8000000 0.7500000 #> Science 0.0 0.1666667 0.0000000 #> Genius 0.0 0.0000000 0.0000000 #> University NaN 0.0000000 0.0000000 #> Knowledge 0.0 0.0000000 0.0000000 #> Books NaN 0.0000000 0.0000000 #> Problem solving 0.0 1.0000000 1.0000000 #> Chess NaN 0.6000000 0.0000000 #> Mathematics 0.0 0.0000000 0.0000000 #> Technology NaN 0.0000000 0.0000000 #> Inventions NA NA NA #> Bill Gates 0.0 0.0000000 0.0000000 #> Neil deGrasse Tyson NA NA NA #> Steve Jobs 0.0 0.1428571 0.0000000 #> Education 0.0 0.0000000 0.3333333 #> Grades 0.0 0.0000000 0.0000000 #> Diploma NaN 0.0000000 0.3333333 #> Scholarships NaN 0.0000000 0.0000000 #> Logic 1.0 0.5000000 0.5000000 #> Analysis 0.0 0.2000000 0.5000000 #> Higher education intelligence quotient IQ #> intelligence NA NA #> Einstein NA NA #> books NA NA #> IQ tests NA NA #> college NA NA #> smart people NA NA #> brain NA NA #> genius NA NA #> technology NA NA #> science NA NA #> puzzles NA NA #> knowledge NA NA #> learning NA NA #> reading NA NA #> math NA NA #> professor NA NA #> IQ NA NA #> chess NA NA #> logic NA NA #> debate NA NA #> computer NA NA #> school NA NA #> education NA NA #> grades NA NA #> university NA NA #> teacher NA NA #> problem solving NA NA #> critical thinking NA NA #> innovation NA NA #> coding NA NA #> intelligence agency NA NA #> library NA NA #> study NA NA #> intelligence quotient NA NA #> scholarship NA NA #> academic NA NA #> history NA NA #> linguistics NA NA #> psychology NA NA #> philosophy NA NA #> neuroscience NA NA #> smartwatch NA NA #> artificial intelligence NA NA #> research NA NA #> discoveries NA NA #> inventions NA NA #> Mensa NA NA #> trivia NA NA #> quantum physics NA NA #> analytics NA NA #> strategy games NA NA #> smart NA NA #> tests NA NA #> book smart NA NA #> brains NA NA #> wisdom NA NA #> Stephen Hawking NA NA #> clever NA NA #> high scores NA NA #> mental NA NA #> intellectuals NA NA #> savvy NA NA #> success NA NA #> nerd NA NA #> thinking NA NA #> comprehension NA NA #> understanding NA NA #> creativity NA NA #> insight NA NA #> mastery NA NA #> scholars NA NA #> expertise NA NA #> intelligence agencies NA NA #> cunning NA NA #> bright NA NA #> aptitude NA NA #> scholarships NA NA #> analysis NA NA #> competition NA NA #> strategy NA NA #> apt brain NA NA #> achievements NA NA #> curiosity NA NA #> observation NA NA #> quick witted NA NA #> informed NA NA #> street smart NA NA #> Smart people NA NA #> Albert Einstein NA NA #> AI NA NA #> professors NA NA #> scientists NA NA #> data NA NA #> computer programming NA NA #> memory NA NA #> spies NA NA #> codes NA NA #> cybersecurity NA NA #> hacking NA NA #> language skills NA NA #> writing NA NA #> debates NA NA #> mathematics NA NA #> Smart NA NA #> Brain NA NA #> Science NA NA #> Genius NA NA #> University NA NA #> Knowledge NA NA #> Books NA NA #> Problem solving NA NA #> Chess NA NA #> Mathematics NA NA #> Technology NA NA #> Inventions NA NA #> Bill Gates NA NA #> Neil deGrasse Tyson NA NA #> Steve Jobs NA NA #> Education NA NA #> Grades NA NA #> Diploma NA NA #> Scholarships NA NA #> Logic NA NA #> Analysis NA NA #> Strategic thinking theoretical knowledge giftedness #> intelligence NA 1.0000000 NA #> Einstein NA 0.3333333 NA #> books NA 0.0000000 NA #> IQ tests NA 1.0000000 NA #> college NA 0.0000000 NA #> smart people NA 0.0000000 NA #> brain NA 0.7500000 NA #> genius NA 0.0000000 NA #> technology NA 0.0000000 NA #> science NA 0.0000000 NA #> puzzles NA 1.0000000 NA #> knowledge NA 0.6666667 NA #> learning NA 0.0000000 NA #> reading NA 0.0000000 NA #> math NA 1.0000000 NA #> professor NA 0.0000000 NA #> IQ NA 1.0000000 NA #> chess NA 1.0000000 NA #> logic NA 1.0000000 NA #> debate NA 0.5000000 NA #> computer NA 0.0000000 NA #> school NA 0.0000000 NA #> education NA 0.0000000 NA #> grades NA 0.0000000 NA #> university NA 0.0000000 NA #> teacher NA 0.0000000 NA #> problem solving NA 0.7500000 NA #> critical thinking NA 1.0000000 NA #> innovation NA 0.0000000 NA #> coding NA 0.0000000 NA #> intelligence agency NA 0.0000000 NA #> library NA 0.0000000 NA #> study NA 0.0000000 NA #> intelligence quotient NA 1.0000000 NA #> scholarship NA 0.0000000 NA #> academic NA 0.0000000 NA #> history NA 0.0000000 NA #> linguistics NA 0.3333333 NA #> psychology NA 0.5000000 NA #> philosophy NA 1.0000000 NA #> neuroscience NA 0.5000000 NA #> smartwatch NA NA NA #> artificial intelligence NA 0.0000000 NA #> research NA 0.0000000 NA #> discoveries NA 0.0000000 NA #> inventions NA 0.0000000 NA #> Mensa NA 1.0000000 NA #> trivia NA 0.5000000 NA #> quantum physics NA 0.0000000 NA #> analytics NA 0.0000000 NA #> strategy games NA NA NA #> smart NA 1.0000000 NA #> tests NA 0.0000000 NA #> book smart NA 0.0000000 NA #> brains NA 1.0000000 NA #> wisdom NA 1.0000000 NA #> Stephen Hawking NA 0.5000000 NA #> clever NA 1.0000000 NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA 1.0000000 NA #> savvy NA 1.0000000 NA #> success NA 0.5000000 NA #> nerd NA NA NA #> thinking NA 1.0000000 NA #> comprehension NA 0.0000000 NA #> understanding NA 0.6666667 NA #> creativity NA 0.5000000 NA #> insight NA 1.0000000 NA #> mastery NA NA NA #> scholars NA 0.5000000 NA #> expertise NA 0.0000000 NA #> intelligence agencies NA 0.0000000 NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA 0.5000000 NA 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#> Mathematics NA 0.0000000 NA #> Technology NA 0.0000000 NA #> Inventions NA NA NA #> Bill Gates NA 0.0000000 NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA 0.0000000 NA #> Education NA 0.0000000 NA #> Grades NA 0.0000000 NA #> Diploma NA 0.0000000 NA #> Scholarships NA 0.0000000 NA #> Logic NA 1.0000000 NA #> Analysis NA 0.0000000 NA #> psychometrics education systems thought leadership #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA 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innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA NA NA #> observation NA NA NA #> quick witted NA NA NA #> informed NA NA NA #> street smart NA NA NA #> Smart people NA NA NA #> Albert Einstein NA NA NA #> AI NA NA NA #> professors NA NA NA #> scientists NA NA NA #> data NA NA NA #> computer programming NA NA NA #> memory NA NA NA #> spies NA NA NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA NA NA #> writing NA NA NA #> debates NA NA NA #> mathematics NA NA NA #> Smart NA NA NA #> Brain NA NA NA #> Science NA NA NA #> Genius NA NA NA #> University NA NA NA #> Knowledge NA NA NA #> Books NA NA NA #> Problem solving NA NA NA #> Chess NA NA NA #> Mathematics NA NA NA #> Technology NA NA NA #> Inventions NA NA NA #> Bill Gates NA NA NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA NA NA #> Education NA NA NA #> Grades NA NA NA #> Diploma NA NA NA #> Scholarships NA NA NA #> Logic NA NA NA #> Analysis NA NA NA #> linguistic skill mathematical skill Inventiveness #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA 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science NA NA NA NA #> puzzles NA NA NA NA #> knowledge NA NA NA NA #> learning NA NA NA NA #> reading NA NA NA NA #> math NA NA NA NA #> professor NA NA NA NA #> IQ NA NA NA NA #> chess NA NA NA NA #> logic NA NA NA NA #> debate NA NA NA NA #> computer NA NA NA NA #> school NA NA NA NA #> education NA NA NA NA #> grades NA NA NA NA #> university NA NA NA NA #> teacher NA NA NA NA #> problem solving NA NA NA NA #> critical thinking NA NA NA NA #> innovation NA NA NA NA #> coding NA NA NA NA #> intelligence agency NA NA NA NA #> library NA NA NA NA #> study NA NA NA NA #> intelligence quotient NA NA NA NA #> scholarship NA NA NA NA #> academic NA NA NA NA #> history NA NA NA NA #> linguistics NA NA NA NA #> psychology NA NA NA NA #> philosophy NA NA NA NA #> neuroscience NA NA NA NA #> smartwatch NA NA NA NA #> artificial intelligence NA NA NA NA #> research NA NA NA NA #> discoveries NA NA NA NA #> inventions NA NA NA NA #> Mensa NA NA NA NA #> trivia NA NA NA NA #> quantum physics NA NA NA NA #> analytics NA NA NA NA #> strategy games NA NA NA NA #> smart NA NA NA NA #> tests NA NA NA NA #> book smart NA NA NA NA #> brains NA NA NA NA #> wisdom NA NA NA NA #> Stephen Hawking NA NA NA NA #> clever NA NA NA NA #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals NA NA NA NA #> savvy NA NA NA NA #> success NA NA NA NA #> nerd NA NA NA NA #> thinking NA NA NA NA #> comprehension NA NA NA NA #> understanding NA NA NA NA #> creativity NA NA NA NA #> insight NA NA NA NA #> mastery NA NA NA NA #> scholars NA NA NA NA #> expertise NA NA NA NA #> intelligence agencies NA NA NA NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude NA NA NA NA #> scholarships NA NA NA NA #> analysis NA NA NA NA #> competition NA NA NA NA #> strategy NA NA NA NA #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity NA NA NA NA #> observation NA NA NA NA #> quick witted NA NA NA NA #> informed NA NA NA NA #> street smart NA NA NA NA #> Smart people NA NA NA NA #> Albert Einstein NA NA NA NA #> AI NA NA NA NA #> professors NA NA NA NA #> scientists NA NA NA NA #> data NA NA NA NA #> computer programming NA NA NA NA #> memory NA NA NA NA #> spies NA NA NA NA #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills NA NA NA NA #> writing NA NA NA NA #> debates NA NA NA NA #> mathematics NA NA NA NA #> Smart NA NA NA NA #> Brain NA NA NA NA #> Science NA NA NA NA #> Genius NA NA NA NA #> University NA NA NA NA #> Knowledge NA NA NA NA #> Books NA NA NA NA #> Problem solving NA NA NA NA #> Chess NA NA NA NA #> Mathematics NA NA NA NA #> Technology NA NA NA NA #> Inventions NA NA NA NA #> Bill Gates NA NA NA NA #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs NA NA NA NA #> Education NA NA NA NA #> Grades NA NA NA NA #> Diploma NA NA NA NA #> Scholarships NA NA NA NA #> Logic NA NA NA NA #> Analysis NA NA NA NA #> Intuition Open mindedness Cognitive psychology #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA NA NA #> observation NA NA NA #> quick witted NA NA NA #> informed NA NA NA #> street smart NA NA NA #> Smart people NA NA NA #> Albert Einstein NA NA NA #> AI NA NA NA #> professors NA NA NA #> scientists NA NA NA #> data NA NA NA #> computer programming NA NA NA #> memory NA NA NA #> spies NA NA NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA NA NA #> writing NA NA NA #> debates NA NA NA #> mathematics NA NA NA #> Smart NA NA NA #> Brain NA NA NA #> Science NA NA NA #> Genius NA NA NA #> University NA NA NA #> Knowledge NA NA NA #> Books NA NA NA #> Problem solving NA NA NA #> Chess NA NA NA #> Mathematics NA NA NA #> Technology NA NA NA #> Inventions NA NA NA #> Bill Gates NA NA NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA NA NA #> Education NA NA NA #> Grades NA NA NA #> Diploma NA NA NA #> Scholarships NA NA NA #> Logic NA NA NA #> Analysis NA NA NA #> Algorithms Theories Scientific method Experiments #> intelligence NA NA NA NA #> Einstein NA NA NA NA #> books NA NA NA NA #> IQ tests NA NA NA NA #> college NA NA NA NA #> smart people NA NA NA NA #> brain NA NA NA NA #> genius NA NA NA NA #> technology NA NA NA NA #> science NA NA NA NA #> puzzles NA NA NA NA #> knowledge NA NA NA NA #> learning NA NA NA NA #> reading NA NA NA NA #> math NA NA NA NA #> professor NA NA NA NA #> IQ NA NA NA NA #> chess NA NA NA NA #> logic NA NA NA NA #> debate NA NA NA NA #> computer NA NA NA NA #> school NA NA NA NA #> education NA NA NA NA #> grades NA NA NA NA #> university NA NA NA NA #> teacher NA NA NA NA #> problem solving NA NA NA NA #> critical thinking NA NA NA NA #> innovation NA NA NA NA #> coding NA NA NA NA #> intelligence agency NA NA NA NA #> library NA NA NA NA #> study NA NA NA NA #> intelligence quotient NA NA NA NA #> scholarship NA NA NA NA #> academic NA NA NA NA #> history NA NA NA NA #> linguistics NA NA NA NA #> psychology NA NA NA NA #> philosophy NA NA NA NA #> neuroscience NA NA NA NA #> smartwatch NA NA NA NA #> artificial intelligence NA NA NA NA #> research NA NA NA NA #> discoveries NA NA NA NA #> inventions NA NA NA NA #> Mensa NA NA NA NA #> trivia NA NA NA NA #> quantum physics NA NA NA NA #> analytics NA NA NA NA #> strategy games NA NA NA NA #> smart NA NA NA NA #> tests NA NA NA NA #> book smart NA NA NA NA #> brains NA NA NA NA #> wisdom NA NA NA NA #> Stephen Hawking NA NA NA NA #> clever NA NA NA NA #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals NA NA NA NA #> savvy NA NA NA NA #> success NA NA NA NA #> nerd NA NA NA NA #> thinking NA NA NA NA #> comprehension NA NA NA NA #> understanding NA NA NA NA #> creativity NA NA NA NA #> insight NA NA NA NA #> mastery NA NA NA NA #> scholars NA NA NA NA #> expertise NA NA NA NA #> intelligence agencies NA NA NA NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude NA NA NA NA #> scholarships NA NA NA NA #> analysis NA NA NA NA #> competition NA NA NA NA #> strategy NA NA NA NA #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity NA NA NA NA #> observation NA NA NA NA #> quick witted NA NA NA NA #> informed NA NA NA NA #> street smart NA NA NA NA #> Smart people NA NA NA NA #> Albert Einstein NA NA NA NA #> AI NA NA NA NA #> professors NA NA NA NA #> scientists NA NA NA NA #> data NA NA NA NA #> computer programming NA NA NA NA #> memory NA NA NA NA #> spies NA NA NA NA #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills NA NA NA NA #> writing NA NA NA NA #> debates NA NA NA NA #> mathematics NA NA NA NA #> Smart NA NA NA NA #> Brain NA NA NA NA #> Science NA NA NA NA #> Genius NA NA NA NA #> University NA NA NA NA #> Knowledge NA NA NA NA #> Books NA NA NA NA #> Problem solving NA NA NA NA #> Chess NA NA NA NA #> Mathematics NA NA NA NA #> Technology NA NA NA NA #> Inventions NA NA NA NA #> Bill Gates NA NA NA NA #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs NA NA NA NA #> Education NA NA NA NA #> Grades NA NA NA NA #> Diploma NA NA NA NA #> Scholarships NA NA NA NA #> Logic NA NA NA NA #> Analysis NA NA NA NA #> Deduction Attention to detail Multitasking #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA NA NA #> observation NA NA NA #> quick witted NA NA NA #> informed NA NA NA #> street smart NA NA NA #> Smart people NA NA NA #> Albert Einstein NA NA NA #> AI NA NA NA #> professors NA NA NA #> scientists NA NA NA #> data NA NA NA #> computer programming NA NA NA #> memory NA NA NA #> spies NA NA NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA NA NA #> writing NA NA NA #> debates NA NA NA #> mathematics NA NA NA #> Smart NA NA NA #> Brain NA NA NA #> Science NA NA NA #> Genius NA NA NA #> University NA NA NA #> Knowledge NA NA NA #> Books NA NA NA #> Problem solving NA NA NA #> Chess NA NA NA #> Mathematics NA NA NA #> Technology NA NA NA #> Inventions NA NA NA #> Bill Gates NA NA NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA NA NA #> Education NA NA NA #> Grades NA NA NA #> Diploma NA NA NA #> Scholarships NA NA NA #> Logic NA NA NA #> Analysis NA NA NA #> Negotiation Interpersonal skills Teamwork Vision #> intelligence NA NA NA NA #> Einstein NA NA NA NA #> books NA NA NA NA #> IQ tests NA NA NA NA #> college NA NA NA NA #> smart people NA NA NA NA #> brain NA NA NA NA #> genius NA NA NA NA #> technology NA NA NA NA #> science NA NA NA NA #> puzzles NA NA NA NA #> knowledge NA NA NA NA #> learning NA NA NA NA #> reading NA NA NA NA #> math NA NA NA NA #> professor NA NA NA NA #> IQ NA NA NA NA #> chess NA NA NA NA #> logic NA NA NA NA #> debate NA NA NA NA #> computer NA NA NA NA #> school NA NA NA NA #> education NA NA NA NA #> grades NA NA NA NA #> university NA NA NA NA #> teacher NA NA NA NA #> problem solving NA NA NA NA #> critical thinking NA NA NA NA #> innovation NA NA NA NA #> coding NA NA NA NA #> intelligence agency NA NA NA NA #> library NA NA NA NA #> study NA NA NA NA #> intelligence quotient NA NA NA NA #> scholarship NA NA NA NA #> academic NA NA NA NA #> history NA NA NA NA #> linguistics NA NA NA NA #> psychology NA NA NA NA #> philosophy NA NA NA NA #> neuroscience NA NA NA NA #> smartwatch NA NA NA NA #> artificial intelligence NA NA NA NA #> research NA NA NA NA #> discoveries NA NA NA NA #> inventions NA NA NA NA #> Mensa NA NA NA NA #> trivia NA NA NA NA #> quantum physics NA NA NA NA #> analytics NA NA NA NA #> strategy games NA NA NA NA #> smart NA NA NA NA #> tests NA NA NA NA #> book smart NA NA NA NA #> brains NA NA NA NA #> wisdom NA NA NA NA #> Stephen Hawking NA NA NA NA #> clever NA NA NA NA #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals NA NA NA NA #> savvy NA NA NA NA #> success NA NA NA NA #> nerd NA NA NA NA #> thinking NA NA NA NA #> comprehension NA NA NA NA #> understanding NA NA NA NA #> creativity NA NA NA NA #> insight NA NA NA NA #> mastery NA NA NA NA #> scholars NA NA NA NA #> expertise NA NA NA NA #> intelligence agencies NA NA NA NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude NA NA NA NA #> scholarships NA NA NA NA #> analysis NA NA NA NA #> competition NA NA NA NA #> strategy NA NA NA NA #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity NA NA NA NA #> observation NA NA NA NA #> quick witted NA NA NA NA #> informed NA NA NA NA #> street smart NA NA NA NA #> Smart people NA NA NA NA #> Albert Einstein NA NA NA NA #> AI NA NA NA NA #> professors NA NA NA NA #> scientists NA NA NA NA #> data NA NA NA NA #> computer programming NA NA NA NA #> memory NA NA NA NA #> spies NA NA NA NA #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills NA NA NA NA #> writing NA NA NA NA #> debates NA NA NA NA #> mathematics NA NA NA NA #> Smart NA NA NA NA #> Brain NA NA NA NA #> Science NA NA NA NA #> Genius NA NA NA NA #> University NA NA NA NA #> Knowledge NA NA NA NA #> Books NA NA NA NA #> Problem solving NA NA NA NA #> Chess NA NA NA NA #> Mathematics NA NA NA NA #> Technology NA NA NA NA #> Inventions NA NA NA NA #> Bill Gates NA NA NA NA #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs NA NA NA NA #> Education NA NA NA NA #> Grades NA NA NA NA #> Diploma NA NA NA NA #> Scholarships NA NA NA NA #> Logic NA NA NA NA #> Analysis NA NA NA NA #> intellectual discussion mental processes PhD #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA NA NA #> observation NA NA NA #> quick witted NA NA NA #> informed NA NA NA #> street smart NA NA NA #> Smart people NA NA NA #> Albert Einstein NA NA NA #> AI NA NA NA #> professors NA NA NA #> scientists NA NA NA #> data NA NA NA #> computer programming NA NA NA #> memory NA NA NA #> spies NA NA NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA NA NA #> writing NA NA NA #> debates NA NA NA #> mathematics NA NA NA #> Smart NA NA NA #> Brain NA NA NA #> Science NA NA NA #> Genius NA NA NA #> University NA NA NA #> Knowledge NA NA NA #> Books NA NA NA #> Problem solving NA NA NA #> Chess NA NA NA #> Mathematics NA NA NA #> Technology NA NA NA #> Inventions NA NA NA #> Bill Gates NA NA NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA NA NA #> Education NA NA NA #> Grades NA NA NA #> Diploma NA NA NA #> Scholarships NA NA NA #> Logic NA NA NA #> Analysis NA NA NA #> verbal proficiency breakthrough ideas mentors #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA NA NA #> observation NA NA NA #> quick witted NA NA NA #> informed NA NA NA #> street smart NA NA NA #> Smart people NA NA NA #> Albert Einstein NA NA NA #> AI NA NA NA #> professors NA NA NA #> scientists NA NA NA #> data NA NA NA #> computer programming NA NA NA #> memory NA NA NA #> spies NA NA NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA NA NA #> writing NA NA NA #> debates NA NA NA #> mathematics NA NA NA #> Smart NA NA NA #> Brain NA NA NA #> Science NA NA NA #> Genius NA NA NA #> University NA NA NA #> Knowledge NA NA NA #> Books NA NA NA #> Problem solving NA NA NA #> Chess NA NA NA #> Mathematics NA NA NA #> Technology NA NA NA #> Inventions NA NA NA #> Bill Gates NA NA NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA NA NA #> Education NA NA NA #> Grades NA NA NA #> Diploma NA NA NA #> Scholarships NA NA NA #> Logic NA NA NA #> Analysis NA NA NA #> Mastery introspection debate teams #> intelligence NA NA NA #> Einstein NA NA NA #> books NA NA NA #> IQ tests NA NA NA #> college NA NA NA #> smart people NA NA NA #> brain NA NA NA #> genius NA NA NA #> technology NA NA NA #> science NA NA NA #> puzzles NA NA NA #> knowledge NA NA NA #> learning NA NA NA #> reading NA NA NA #> math NA NA NA #> professor NA NA NA #> IQ NA NA NA #> chess NA NA NA #> logic NA NA NA #> debate NA NA NA #> computer NA NA NA #> school NA NA NA #> education NA NA NA #> grades NA NA NA #> university NA NA NA #> teacher NA NA NA #> problem solving NA NA NA #> critical thinking NA NA NA #> innovation NA NA NA #> coding NA NA NA #> intelligence agency NA NA NA #> library NA NA NA #> study NA NA NA #> intelligence quotient NA NA NA #> scholarship NA NA NA #> academic NA NA NA #> history NA NA NA #> linguistics NA NA NA #> psychology NA NA NA #> philosophy NA NA NA #> neuroscience NA NA NA #> smartwatch NA NA NA #> artificial intelligence NA NA NA #> research NA NA NA #> discoveries NA NA NA #> inventions NA NA NA #> Mensa NA NA NA #> trivia NA NA NA #> quantum physics NA NA NA #> analytics NA NA NA #> strategy games NA NA NA #> smart NA NA NA #> tests NA NA NA #> book smart NA NA NA #> brains NA NA NA #> wisdom NA NA NA #> Stephen Hawking NA NA NA #> clever NA NA NA #> high scores NA NA NA #> mental NA NA NA #> intellectuals NA NA NA #> savvy NA NA NA #> success NA NA NA #> nerd NA NA NA #> thinking NA NA NA #> comprehension NA NA NA #> understanding NA NA NA #> creativity NA NA NA #> insight NA NA NA #> mastery NA NA NA #> scholars NA NA NA #> expertise NA NA NA #> intelligence agencies NA NA NA #> cunning NA NA NA #> bright NA NA NA #> aptitude NA NA NA #> scholarships NA NA NA #> analysis NA NA NA #> competition NA NA NA #> strategy NA NA NA #> apt brain NA NA NA #> achievements NA NA NA #> curiosity NA NA NA #> observation NA NA NA #> quick witted NA NA NA #> informed NA NA NA #> street smart NA NA NA #> Smart people NA NA NA #> Albert Einstein NA NA NA #> AI NA NA NA #> professors NA NA NA #> scientists NA NA NA #> data NA NA NA #> computer programming NA NA NA #> memory NA NA NA #> spies NA NA NA #> codes NA NA NA #> cybersecurity NA NA NA #> hacking NA NA NA #> language skills NA NA NA #> writing NA NA NA #> debates NA NA NA #> mathematics NA NA NA #> Smart NA NA NA #> Brain NA NA NA #> Science NA NA NA #> Genius NA NA NA #> University NA NA NA #> Knowledge NA NA NA #> Books NA NA NA #> Problem solving NA NA NA #> Chess NA NA NA #> Mathematics NA NA NA #> Technology NA NA NA #> Inventions NA NA NA #> Bill Gates NA NA NA #> Neil deGrasse Tyson NA NA NA #> Steve Jobs NA NA NA #> Education NA NA NA #> Grades NA NA NA #> Diploma NA NA NA #> Scholarships NA NA NA #> Logic NA NA NA #> Analysis NA NA NA #> cultural intelligence critical discourse #> intelligence NA NA #> Einstein NA NA #> books NA NA #> IQ tests NA NA #> college NA NA #> smart people NA NA #> brain NA NA #> genius NA NA #> technology NA NA #> science NA NA #> puzzles NA NA #> knowledge NA NA #> learning NA NA #> reading NA NA #> math NA NA #> professor NA NA #> IQ NA NA #> chess NA NA #> logic NA NA #> debate NA NA #> computer NA NA #> school NA NA #> education NA NA #> grades NA NA #> university NA NA #> teacher NA NA #> problem solving NA NA #> critical thinking NA NA #> innovation NA NA #> coding NA NA #> intelligence agency NA NA #> library NA NA #> study NA NA #> intelligence quotient NA NA #> scholarship NA NA #> academic NA NA #> history NA NA #> linguistics NA NA #> psychology NA NA #> philosophy NA NA #> neuroscience NA NA #> smartwatch NA NA #> artificial intelligence NA NA #> research NA NA #> discoveries NA NA #> inventions NA NA #> Mensa NA NA #> trivia NA NA #> quantum physics NA NA #> analytics NA NA #> strategy games NA NA #> smart NA NA #> tests NA NA #> book smart NA NA #> brains NA NA #> wisdom NA NA #> Stephen Hawking NA NA #> clever NA NA #> high scores NA NA #> mental NA NA #> intellectuals NA NA #> savvy NA NA #> success NA NA #> nerd NA NA #> thinking NA NA #> comprehension NA NA #> understanding NA NA #> creativity NA NA #> insight NA NA #> mastery NA NA #> scholars NA NA #> expertise NA NA #> intelligence agencies NA NA #> cunning NA NA #> bright NA NA #> aptitude NA NA #> scholarships NA NA #> analysis NA NA #> competition NA NA #> strategy NA NA #> apt brain NA NA #> achievements NA NA #> curiosity NA NA #> observation NA NA #> quick witted NA NA #> informed NA NA #> street smart NA NA #> Smart people NA NA #> Albert Einstein NA NA #> AI NA NA #> professors NA NA #> scientists NA NA #> data NA NA #> computer programming NA NA #> memory NA NA #> spies NA NA #> codes NA NA #> cybersecurity NA NA #> hacking NA NA #> language skills NA NA #> writing NA NA #> debates NA NA #> mathematics NA NA #> Smart NA NA #> Brain NA NA #> Science NA NA #> Genius NA NA #> University NA NA #> Knowledge NA NA #> Books NA NA #> Problem solving NA NA #> Chess NA NA #> Mathematics NA NA #> Technology NA NA #> Inventions NA NA #> Bill Gates NA NA #> Neil deGrasse Tyson NA NA #> Steve Jobs NA NA #> Education NA NA #> Grades NA NA #> Diploma NA NA #> Scholarships NA NA #> Logic NA NA #> Analysis NA NA #> study habits application synthesis lifelong learning #> intelligence NA NA NA NA #> Einstein NA NA NA NA #> books NA NA NA NA #> IQ tests NA NA NA NA #> college NA NA NA NA #> smart people NA NA NA NA #> brain NA NA NA NA #> genius NA NA NA NA #> technology NA NA NA NA #> science NA NA NA NA #> puzzles NA NA NA NA #> knowledge NA NA NA NA #> learning NA NA NA NA #> reading NA NA NA NA #> math NA NA NA NA #> professor NA NA NA NA #> IQ NA NA NA NA #> chess NA NA NA NA #> logic NA NA NA NA #> debate NA NA NA NA #> computer NA NA NA NA #> school NA NA NA NA #> education NA NA NA NA #> grades NA NA NA NA #> university NA NA NA NA #> teacher NA NA NA NA #> problem solving NA NA NA NA #> critical thinking NA NA NA NA #> innovation NA NA NA NA #> coding NA NA NA NA #> intelligence agency NA NA NA NA #> library NA NA NA NA #> study NA NA NA NA #> intelligence quotient NA NA NA NA #> scholarship NA NA NA NA #> academic NA NA NA NA #> history NA NA NA NA #> linguistics NA NA NA NA #> psychology NA NA NA NA #> philosophy NA NA NA NA #> neuroscience NA NA NA NA #> smartwatch NA NA NA NA #> artificial intelligence NA NA NA NA #> research NA NA NA NA #> discoveries NA NA NA NA #> inventions NA NA NA NA #> Mensa NA NA NA NA #> trivia NA NA NA NA #> quantum physics NA NA NA NA #> analytics NA NA NA NA #> strategy games NA NA NA NA #> smart NA NA NA NA #> tests NA NA NA NA #> book smart NA NA NA NA #> brains NA NA NA NA #> wisdom NA NA NA NA #> Stephen Hawking NA NA NA NA #> clever NA NA NA NA #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals NA NA NA NA #> savvy NA NA NA NA #> success NA NA NA NA #> nerd NA NA NA NA #> thinking NA NA NA NA #> comprehension NA NA NA NA #> understanding NA NA NA NA #> creativity NA NA NA NA #> insight NA NA NA NA #> mastery NA NA NA NA #> scholars NA NA NA NA #> expertise NA NA NA NA #> intelligence agencies NA NA NA NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude NA NA NA NA #> scholarships NA NA NA NA #> analysis NA NA NA NA #> competition NA NA NA NA #> strategy NA NA NA NA #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity NA NA NA NA #> observation NA NA NA NA #> quick witted NA NA NA NA #> informed NA NA NA NA #> street smart NA NA NA NA #> Smart people NA NA NA NA #> Albert Einstein NA NA NA NA #> AI NA NA NA NA #> professors NA NA NA NA #> scientists NA NA NA NA #> data NA NA NA NA #> computer programming NA NA NA NA #> memory NA NA NA NA #> spies NA NA NA NA #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills NA NA NA NA #> writing NA NA NA NA #> debates NA NA NA NA #> mathematics NA NA NA NA #> Smart NA NA NA NA #> Brain NA NA NA NA #> Science NA NA NA NA #> Genius NA NA NA NA #> University NA NA NA NA #> Knowledge NA NA NA NA #> Books NA NA NA NA #> Problem solving NA NA NA NA #> Chess NA NA NA NA #> Mathematics NA NA NA NA #> Technology NA NA NA NA #> Inventions NA NA NA NA #> Bill Gates NA NA NA NA #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs NA NA NA NA #> Education NA NA NA NA #> Grades NA NA NA NA #> Diploma NA NA NA NA #> Scholarships NA NA NA NA #> Logic NA NA NA NA #> Analysis NA NA NA NA #> technical skills Learning languages podcasts sudoku #> intelligence NA NA NA NA #> Einstein NA NA NA NA #> books NA NA NA NA #> IQ tests NA NA NA NA #> college NA NA NA NA #> smart people NA NA NA NA #> brain NA NA NA NA #> genius NA NA NA NA #> technology NA NA NA NA #> science NA NA NA NA #> puzzles NA NA NA NA #> knowledge NA NA NA NA #> learning NA NA NA NA #> reading NA NA NA NA #> math NA NA NA NA #> professor NA NA NA NA #> IQ NA NA NA NA #> chess NA NA NA NA #> logic NA NA NA NA #> debate NA NA NA NA #> computer NA NA NA NA #> school NA NA NA NA #> education NA NA NA NA #> grades NA NA NA NA #> university NA NA NA NA #> teacher NA NA NA NA #> problem solving NA NA NA NA #> critical thinking NA NA NA NA #> innovation NA NA NA NA #> coding NA NA NA NA #> intelligence agency NA NA NA NA #> library NA NA NA NA #> study NA NA NA NA #> intelligence quotient NA NA NA NA #> scholarship NA NA NA NA #> academic NA NA NA NA #> history NA NA NA NA #> linguistics NA NA NA NA #> psychology NA NA NA NA #> philosophy NA NA NA NA #> neuroscience NA NA NA NA #> smartwatch NA NA NA NA #> artificial intelligence NA NA NA NA #> research NA NA NA NA #> discoveries NA NA NA NA #> inventions NA NA NA NA #> Mensa NA NA NA NA #> trivia NA NA NA NA #> quantum physics NA NA NA NA #> analytics NA NA NA NA #> strategy games NA NA NA NA #> smart NA NA NA NA #> tests NA NA NA NA #> book smart NA NA NA NA #> brains NA NA NA NA #> wisdom NA NA NA NA #> Stephen Hawking NA NA NA NA #> clever NA NA NA NA #> high scores NA NA NA NA #> mental NA NA NA NA #> intellectuals NA NA NA NA #> savvy NA NA NA NA #> success NA NA NA NA #> nerd NA NA NA NA #> thinking NA NA NA NA #> comprehension NA NA NA NA #> understanding NA NA NA NA #> creativity NA NA NA NA #> insight NA NA NA NA #> mastery NA NA NA NA #> scholars NA NA NA NA #> expertise NA NA NA NA #> intelligence agencies NA NA NA NA #> cunning NA NA NA NA #> bright NA NA NA NA #> aptitude NA NA NA NA #> scholarships NA NA NA NA #> analysis NA NA NA NA #> competition NA NA NA NA #> strategy NA NA NA NA #> apt brain NA NA NA NA #> achievements NA NA NA NA #> curiosity NA NA NA NA #> observation NA NA NA NA #> quick witted NA NA NA NA #> informed NA NA NA NA #> street smart NA NA NA NA #> Smart people NA NA NA NA #> Albert Einstein NA NA NA NA #> AI NA NA NA NA #> professors NA NA NA NA #> scientists NA NA NA NA #> data NA NA NA NA #> computer programming NA NA NA NA #> memory NA NA NA NA #> spies NA NA NA NA #> codes NA NA NA NA #> cybersecurity NA NA NA NA #> hacking NA NA NA NA #> language skills NA NA NA NA #> writing NA NA NA NA #> debates NA NA NA NA #> mathematics NA NA NA NA #> Smart NA NA NA NA #> Brain NA NA NA NA #> Science NA NA NA NA #> Genius NA NA NA NA #> University NA NA NA NA #> Knowledge NA NA NA NA #> Books NA NA NA NA #> Problem solving NA NA NA NA #> Chess NA NA NA NA #> Mathematics NA NA NA NA #> Technology NA NA NA NA #> Inventions NA NA NA NA #> Bill Gates NA NA NA NA #> Neil deGrasse Tyson NA NA NA NA #> Steve Jobs NA NA NA NA #> Education NA NA NA NA #> Grades NA NA NA NA #> Diploma NA NA NA NA #> Scholarships NA NA NA NA #> Logic NA NA NA NA #> Analysis NA NA NA NA #> [ reached getOption(\"max.print\") -- omitted 680 rows ] #> #> $cluster_stability #> cluster_1 cluster_2 cluster_3 cluster_4 no_cluster #> cluster_1 NaN NaN NaN NaN NA #> cluster_2 NaN NaN NaN NaN NA #> cluster_3 NaN NaN NaN NaN NA #> cluster_4 NaN NaN NaN NaN NA #> no_cluster NA NA NA NA NA #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Cluster targets — ar_cluster_targets","title":"Cluster targets — ar_cluster_targets","text":"ar_cluster_targets produces target clustering based associatoR object's target embedding.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Cluster targets — ar_cluster_targets","text":"","code":"ar_cluster_targets( associations, method = \"louvain\", similarity = \"arccos\", k = NULL, linkage = NULL, eps = NULL, ... )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Cluster targets — ar_cluster_targets","text":"associations associatoR object including target_embeddings. method character specifying clustering method. One c(\"louvain\", \"hclust\", \"kmeans\", \"dbscan\"). Default \"louvain\". similarity character specifying similarity metric. One c(\"arccos\", \"cosine\", \"euclidean\"). Default \"arccos\". k integer specifying number clusters method = c(\"hclust\", \"kmeans\"). linkage character specifying linkage criterion method = c(\"hclust\"). Default \"complete\". eps numeric specifying point distance used method = c(\"dbscan\"). ... additional attributes passed clustering method.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Cluster targets — ar_cluster_targets","text":"function returns associatoR object including new clusters column targets containing target clusters.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cluster_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Cluster targets — ar_cluster_targets","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_embed_targets() %>% ar_cluster_targets(method = \"louvain\") #> 456 targets with count < min_count were dropped from embedding. #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 2 #> target cluster #> #> 1 intelligence cluster_1 #> 2 Einstein cluster_2 #> 3 books cluster_3 #> 4 IQ tests cluster_1 #> 5 college cluster_3 #> # ℹ 799 more rows #> #> target_embedding #> # A tibble: 348 × 101 #> target dim_1 dim_2 dim_3 dim_4 dim_5 dim_6 dim_7 dim_8 dim_9 #> #> 1 intell… 4.15 0.283 -2.03 3.25 -2.59 0.775 1.67 -0.227 1.28 #> 2 Einste… 1.73 0.462 -0.532 0.209 -4.59 -1.75 2.92 -0.333 -1.55 #> 3 books 11.3 -3.82 -0.507 -22.6 -7.53 8.45 -1.82 4.80 6.00 #> 4 IQ tes… 6.63 -1.50 -7.86 7.63 -2.27 9.65 14.6 4.16 -6.55 #> 5 college 8.24 -6.60 6.98 -7.41 7.06 0.863 8.66 -9.98 -0.438 #> # ℹ 343 more rows #> # ℹ 91 more variables: dim_10 , dim_11 , dim_12 , #> # dim_13 , dim_14 , dim_15 , dim_16 , #> # dim_17 , dim_18 , dim_19 , dim_20 , #> # dim_21 , dim_22 , dim_23 , dim_24 , #> # dim_25 , dim_26 , dim_27 , dim_28 , #> # dim_29 , dim_30 , dim_31 , dim_32 , … #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_embeddings.html","id":null,"dir":"Reference","previous_headings":"","what":"Embedding similarity comparison — ar_compare_embeddings","title":"Embedding similarity comparison — ar_compare_embeddings","text":"ar_compare_embeddings compares embeddings groups using representational similarity analysis","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_embeddings.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Embedding similarity comparison — ar_compare_embeddings","text":"","code":"ar_compare_embeddings( associations, participant_vars, type = \"triangle\", intersection = \"pair\", ... )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_embeddings.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Embedding similarity comparison — ar_compare_embeddings","text":"associations associatoR object including target_embeddings. participant_vars one column names specifying grouping variables embedding comparisons. type character specifying whether compute representational similarity based full \"triangle\" \"row\"-wise. Default \"triangle\". intersection character specifying whether compute representations set targets shared groups (\"\") individual pair (\"pair\"). default (\"pair\"). ... arguments passed ar_embed_targets. arguments specified arguments taken existing target_embedding based default values.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_embeddings.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Embedding similarity comparison — ar_compare_embeddings","text":"function returns table representation similarities.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_embeddings.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Embedding similarity comparison — ar_compare_embeddings","text":"Representational similarity calculated based Spearman correlation cosine similarity matrices extracted embedding specified one grouping factors.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_embeddings.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Embedding similarity comparison — ar_compare_embeddings","text":"","code":"ar_obj = ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_embed_targets() #> 456 targets with count < min_count were dropped from embedding. ar_compare_embeddings(ar_obj, gender) #> # A tibble: 1 × 6 #> group_i group_j targets_i targets_j targets_shared similarity #> #> 1 male female 166 213 107 0.207"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Compare target characteristics between participant groups — ar_compare_targets","title":"Compare target characteristics between participant groups — ar_compare_targets","text":"ar_compare_targets compares target characteristics participant groups taking account target frequencies responses return summary statistics.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Compare target characteristics between participant groups — ar_compare_targets","text":"","code":"ar_compare_targets(associations, participant_vars, target_var, fun = mean, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Compare target characteristics between participant groups — ar_compare_targets","text":"associations associatoR object containing association data generated ar_import targets defined ar_set_targets. participant_vars variable name vector specifying grouping variables. target_var variable name specifying target variable summarized. fun function specifying statistic calculate target_var, defaults mean. ... additional arguments passed fun","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Compare target characteristics between participant groups — ar_compare_targets","text":"Returns tibble containing grouped summaries based fun.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_compare_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Compare target characteristics between participant groups — ar_compare_targets","text":"","code":"# calculate means by using fun = mean and passing na.rm argument to mean() ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_summarize_targets(response_var = response_position) %>% ar_compare_targets(participant_vars = c(gender, education), target_var = response_position, fun = mean, na.rm = TRUE) #> # A tibble: 4 × 3 #> gender education response_position #> #> 1 female high school 2.88 #> 2 female university 2.98 #> 3 male high school 2.90 #> 4 male university 2.97"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_correlate_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Correlate targets responses with participant variables — ar_correlate_targets","title":"Correlate targets responses with participant variables — ar_correlate_targets","text":"ar_correlate_targets calculates correlations response occurrence targets participant variables, gender age.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_correlate_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Correlate targets responses with participant variables — ar_correlate_targets","text":"","code":"ar_correlate_targets(associations, participant_vars, metric = \"auto\")"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_correlate_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Correlate targets responses with participant variables — ar_correlate_targets","text":"associations associatoR object containing association data generated ar_import. participant_vars character vector specifying participant variables assess. variables must exist associations$participants. metric character scalar c(\"auto\", \"point-biserial\", \"phi\", \"cramer\") specifying metric calculate correlation participant_vars targets. Defaults \"auto\".","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_correlate_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Correlate targets responses with participant variables — ar_correlate_targets","text":"Returns associatoR object containing list tibbles, targets gaining correlation column(s): participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes. targets tibble targets including specified analysis target, correlation column(s).","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_correlate_targets.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Correlate targets responses with participant variables — ar_correlate_targets","text":"Function calculates point-biserial correlation numeric Cramer's V categorical participant_vars.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_correlate_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Correlate targets responses with participant variables — ar_correlate_targets","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_correlate_targets(participant_vars = c(education, gender)) #> Joining with `by = join_by(target)` #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 3 #> target education_corr gender_corr #> #> 1 intelligence -0.0417 -0.0139 #> 2 Einstein -0.0950 0.102 #> 3 books -0.0959 0.0511 #> 4 IQ tests 0.0446 0.0446 #> 5 college -0.206 0.00936 #> # ℹ 799 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_count_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Count target occurrences in responses — ar_count_targets","title":"Count target occurrences in responses — ar_count_targets","text":"Append response frequency target targets table associatoR object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_count_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Count target occurrences in responses — ar_count_targets","text":"","code":"ar_count_targets(associations, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_count_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Count target occurrences in responses — ar_count_targets","text":"associations associatoR object containing association data generated ar_import. ... optional logical comparisons filtering responses computing frequencies.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_count_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Count target occurrences in responses — ar_count_targets","text":"Returns associatoR object containing list tibbles, targets gaining frequency column: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes. targets tibble targets including column `frequency` containing counts target responses.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_count_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Count target occurrences in responses — ar_count_targets","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_count_targets() #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 2 #> target frequency #> #> 1 intelligence 52 #> 2 Einstein 102 #> 3 books 114 #> 4 IQ tests 65 #> 5 college 50 #> # ℹ 799 more rows #> ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_count_targets(response_position == 1) #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 2 #> target frequency #> #> 1 intelligence 14 #> 2 Einstein 68 #> 3 books 48 #> 4 IQ tests 25 #> 5 college 8 #> # ℹ 799 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cross_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Create participant-targets cross tables — ar_cross_targets","title":"Create participant-targets cross tables — ar_cross_targets","text":"ar_cross_targets creates tables counting targets among responses, combination participant varable groups seperately.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cross_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Create participant-targets cross tables — ar_cross_targets","text":"","code":"ar_cross_targets(associations, participant_vars, target_var, normalize = FALSE)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cross_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Create participant-targets cross tables — ar_cross_targets","text":"associations associatoR object containing association data generated ar_import targets defined ar_set_targets. participant_vars variable name vector specifying participant varables group counts . target_var variable name specifying targets variable group counts . normalize logical scalar, indicating counts normalized participant varable groups. Defaults FALSE.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cross_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Create participant-targets cross tables — ar_cross_targets","text":"Returns tibble containing grouped counts, grouped counts normalized within participant variable groups normalize = TRUE.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_cross_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Create participant-targets cross tables — ar_cross_targets","text":"","code":"# one participant variable, no normalization ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_embed_targets() %>% ar_cluster_targets() %>% ar_cross_targets(participant_vars = gender, target_var = cluster) #> 456 targets with count < min_count were dropped from embedding. #> # A tibble: 10 × 3 #> gender cluster n #> #> 1 female cluster_1 1525 #> 2 female cluster_2 1127 #> 3 female cluster_3 1371 #> 4 female cluster_4 1100 #> 5 female no_cluster 1456 #> 6 male cluster_1 1163 #> 7 male cluster_2 1764 #> 8 male cluster_3 965 #> 9 male cluster_4 833 #> 10 male no_cluster 1331 # two participant variables, normalized ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_embed_targets() %>% ar_cluster_targets() %>% ar_cross_targets(participant_vars = c(gender, education), target_var = cluster, normalize = TRUE) #> 456 targets with count < min_count were dropped from embedding. #> # A tibble: 20 × 4 #> gender education cluster proportion #> #> 1 female high school cluster_1 0.142 #> 2 female high school cluster_2 0.165 #> 3 female high school cluster_3 0.300 #> 4 female high school cluster_4 0.176 #> 5 female high school no_cluster 0.217 #> 6 female university cluster_1 0.130 #> 7 female university cluster_2 0.156 #> 8 female university cluster_3 0.225 #> 9 female university cluster_4 0.262 #> 10 female university no_cluster 0.226 #> 11 male high school cluster_1 0.137 #> 12 male high school cluster_2 0.275 #> 13 male high school cluster_3 0.242 #> 14 male high school cluster_4 0.118 #> 15 male high school no_cluster 0.228 #> 16 male university cluster_1 0.139 #> 17 male university cluster_2 0.298 #> 18 male university cluster_3 0.184 #> 19 male university cluster_4 0.169 #> 20 male university no_cluster 0.210"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_embed_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Embed associations — ar_embed_targets","title":"Embed associations — ar_embed_targets","text":"ar_embed_targets generates target embeddings.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_embed_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Embed associations — ar_embed_targets","text":"","code":"ar_embed_targets( associations, method = \"ppmi-svd\", min_count = 5, n_dim = 100, model = NULL, token = NULL, context = NULL )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_embed_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Embed associations — ar_embed_targets","text":"associations associatoR object including targets. method character specifying type embedding. One c(\"counts\",\"ppmi\",\"ppmi-svd\",\"huggingface\"). Default \"ppmi-svd\". min_count integer value specifying minimum response count responses considered embedding method = c(\"counts\",\"ppmi\",\"ppmi-svd\"). Default 5. n_dim integer value specifying number dimensions generated method = \"ppmi-svd\". Default 300. model character specifying model label. Must match name huggingface.co/models. token character string specifying access token hugging face API. Must obtained huggingface.co/inference-api. context optional character string specifying common lead text may help language model interpret associations. Defaults \"Free association: \"","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_embed_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Embed associations — ar_embed_targets","text":"function returns associatoR object including new matrix element called target_embeddings containing target embeddings.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_embed_targets.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Embed associations — ar_embed_targets","text":"Aeschbach, S., Mata, R., Wulff, D. U. (2024). associatoR. psyArXiv","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_embed_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Embed associations — ar_embed_targets","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_embed_targets() #> 456 targets with count < min_count were dropped from embedding. #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 1 #> target #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> target_embedding #> # A tibble: 348 × 101 #> target dim_1 dim_2 dim_3 dim_4 dim_5 dim_6 dim_7 dim_8 dim_9 #> #> 1 intell… 4.15 0.283 -2.03 3.25 -2.59 0.775 1.67 -0.227 1.28 #> 2 Einste… 1.73 0.462 -0.532 0.209 -4.59 -1.75 2.92 -0.333 -1.55 #> 3 books 11.3 -3.82 -0.507 -22.6 -7.53 8.45 -1.82 4.80 6.00 #> 4 IQ tes… 6.63 -1.50 -7.86 7.63 -2.27 9.65 14.6 4.16 -6.55 #> 5 college 8.24 -6.60 6.98 -7.41 7.06 0.863 8.66 -9.98 -0.438 #> # ℹ 343 more rows #> # ℹ 91 more variables: dim_10 , dim_11 , dim_12 , #> # dim_13 , dim_14 , dim_15 , dim_16 , #> # dim_17 , dim_18 , dim_19 , dim_20 , #> # dim_21 , dim_22 , dim_23 , dim_24 , #> # dim_25 , dim_26 , dim_27 , dim_28 , #> # dim_29 , dim_30 , dim_31 , dim_32 , … #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_export_all.html","id":null,"dir":"Reference","previous_headings":"","what":"Join all associatoR tibbles into one — ar_export_all","title":"Join all associatoR tibbles into one — ar_export_all","text":"Join associatoR tibbles one","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_export_all.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Join all associatoR tibbles into one — ar_export_all","text":"","code":"ar_export_all(associations)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_export_all.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Join all associatoR tibbles into one — ar_export_all","text":"associations associatoR object containing association data generated ar_import.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_export_all.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Join all associatoR tibbles into one — ar_export_all","text":"tibble containing joined data associations.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_import.html","id":null,"dir":"Reference","previous_headings":"","what":"Import association data — ar_import","title":"Import association data — ar_import","text":"ar_import processes tabular association data associatoR object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_import.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Import association data — ar_import","text":"","code":"ar_import( data, participant, cue, response, participant_vars = NULL, cue_vars = NULL, response_vars = NULL )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_import.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Import association data — ar_import","text":"data data.frame tibble containing association data. participant variable name data identifying participants. cue variable name data character string identifying cue(s). response variable name data identifying responses. participant_vars optional variable names data identifying participant attributes (e.g., demographics). cue_vars optional variable names data identifying cue attributes. response_vars optional variable names data identifying response attributes.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_import.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Import association data — ar_import","text":"Returns associatoR object containing list tibbles: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_import.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Import association data — ar_import","text":"Aeschbach, S., Mata, R., Wulff, D. U. (progress)","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_import.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Import association data — ar_import","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize.html","id":null,"dir":"Reference","previous_headings":"","what":"Normalize responses — ar_normalize","title":"Normalize responses — ar_normalize","text":"ar_normalize performs normalization steps responses (cues) wraps around ar_normalize_manual.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Normalize responses — ar_normalize","text":"","code":"ar_normalize( associations, case = \"most_frequent\", punct = \"end\", punct_replacement = \" \", whitespace = \"squish\", process_cues = TRUE )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Normalize responses — ar_normalize","text":"associations associatoR object containing association data generated ar_import. case character specifying normalization cases NULL change casing. Must one c(\"lower\", \"upper\", \"sentence\", \"most_frequent\") NULL. Setting case = \"lower\" normalizes responses lower case, case = \"lower\" upper case, case = \"sentence\" sentence case, case = \"most_frequent\" frequent casing string. punct character specifying normalization punctuationor NULL change punctuation. Must one c(\"end\", \"\") NULL. punct = \"end\" replaces punctuation end (including following whitespaces) punct_replacement (default single white space). punct = \"\" replaces punctuation. punct_replacement character used replacement punctuation. whitespace character specifying normalization white spaces NULL change whitespace. Must one c(\"squish\", \"trim\") NULL. Setting whitespace = \"squish\" removes additional white spaces start, end, -words, whereas setting whitespace = \"trim\" removes white space start end. process_cues logical specifying, cues processed well. Defaults TRUE.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Normalize responses — ar_normalize","text":"Returns associatoR object containing list tibbles: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Normalize responses — ar_normalize","text":"Aeschbach, S., Mata, R., Wulff, D. U. (progress)","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Normalize responses — ar_normalize","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_normalize(case = \"lower\", punct = \"all\") #> 197 entries were dropped from cues due to normalizing. #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 607 × 2 #> cue cue_original #> #> 1 intelligence intelligence #> 2 einstein Einstein #> 3 books books #> 4 iq tests IQ tests #> 5 college college #> # ℹ 602 more rows #> #> responses #> # A tibble: 29,882 × 7 #> id cue response response_position response_level cue_original #> #> 1 1 intelligence einstein 1 1 intelligence #> 2 1 intelligence books 2 1 intelligence #> 3 1 intelligence iq tests 3 1 intelligence #> 4 1 intelligence college 4 1 intelligence #> 5 1 intelligence smart people 5 1 intelligence #> # ℹ 29,877 more rows #> # ℹ 1 more variable: response_original #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_dict.html","id":null,"dir":"Reference","previous_headings":"","what":"Normalize responses using dictionary — ar_normalize_dict","title":"Normalize responses using dictionary — ar_normalize_dict","text":"ar_normalize_dict offers interface normalization responses (cues) associatoR objects based dictionary.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_dict.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Normalize responses using dictionary — ar_normalize_dict","text":"","code":"ar_normalize_dict(associations, dictionary, ..., process_cues = FALSE)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_dict.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Normalize responses using dictionary — ar_normalize_dict","text":"associations associatoR object containing association data generated ar_import. process_cues logical indicating cues processed (.e. changed fun) . dict data.frame consisting two columns named c(\"old\",\"new\").","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_dict.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Normalize responses using dictionary — ar_normalize_dict","text":"Returns associatoR object containing list tibbles: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes. responses passed fun","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_dict.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Normalize responses using dictionary — ar_normalize_dict","text":"Aeschbach, S., Mata, R., Wulff, D. U. (progress)","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_dict.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Normalize responses using dictionary — ar_normalize_dict","text":"","code":"dict <- data.frame(old = c(\"intelligence\", \"iq\"), new = c(\"Intelligence\", \"IQ\")) ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_normalize_dict(dict) #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 6 #> id cue response response_position response_level response_orig #> #> 1 1 intelligence Einstein 1 1 Einstein #> 2 1 intelligence books 2 1 books #> 3 1 intelligence IQ tests 3 1 IQ tests #> 4 1 intelligence college 4 1 college #> 5 1 intelligence smart people 5 1 smart people #> # ℹ 29,877 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_manual.html","id":null,"dir":"Reference","previous_headings":"","what":"Normalize responses manually — ar_normalize_manual","title":"Normalize responses manually — ar_normalize_manual","text":"ar_normalize_manual offers interface add self-defined normalization steps responses (cues) associatoR objects.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_manual.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Normalize responses manually — ar_normalize_manual","text":"","code":"ar_normalize_manual(associations, fun, ..., process_cues = FALSE)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_manual.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Normalize responses manually — ar_normalize_manual","text":"associations associatoR object containing association data generated ar_import. fun vectorized function applied responses cues response matrix, excluding cues exist . ... additional arguments passed fun. process_cues logical indicating cues processed (.e. changed fun) .","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_manual.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Normalize responses manually — ar_normalize_manual","text":"Returns associatoR object containing list tibbles: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes. responses passed fun","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_manual.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Normalize responses manually — ar_normalize_manual","text":"Aeschbach, S., Mata, R., Wulff, D. U. (progress)","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_normalize_manual.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Normalize responses manually — ar_normalize_manual","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_normalize_manual(trimws, which = \"left\") #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 6 #> id cue response response_position response_level response_original #> #> 1 1 intelligence Einstein 1 1 Einstein #> 2 1 intelligence books 2 1 books #> 3 1 intelligence IQ tests 3 1 IQ tests #> 4 1 intelligence college 4 1 college #> 5 1 intelligence smart p… 5 1 smart people #> # ℹ 29,877 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_embedding.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot embedding — ar_plot_embedding","title":"Plot embedding — ar_plot_embedding","text":"Generate two dimensional plot associatoR object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_embedding.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot embedding — ar_plot_embedding","text":"","code":"ar_plot_embedding( associations, color_by = NULL, color_set = \"G\", alpha = 0.5, proportion_labels = 1, ... )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_embedding.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot embedding — ar_plot_embedding","text":"associations associatoR object containing association data generated ar_import targets defined ar_set_targets. color_by name variable generate column facets . color_set character string specifying color set. One c(\"\",\"B\",\"C\",\"D\",\"E\",\"F\",\"G\",\"H\"). See scale_color_viridis_d. alpha numeric value 0 1 specifying transparency points. Default .5. proportion_labels numeric value 0 1 specifying proportion labels shown plot. Values smaller 1 omit 1-proportion_labels labels lower frequency targets. ... optional arguments passed geom_text_repel.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_embedding.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot embedding — ar_plot_embedding","text":"Returns ggplot plot object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_embedding.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot embedding — ar_plot_embedding","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(\"cues\") %>% ar_embed_targets() %>% ar_cluster_targets() %>% ar_project_embedding() %>% ar_plot_embedding(color_by = cluster, proportion_labels = .5) #> 456 targets with count < min_count were dropped from embedding. #> Warning: ggrepel: 10 unlabeled data points (too many overlaps). Consider increasing max.overlaps"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_wordcloud.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot word clouds — ar_plot_wordcloud","title":"Plot word clouds — ar_plot_wordcloud","text":"Generate word cloud plots response frequencies associatoR object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_wordcloud.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot word clouds — ar_plot_wordcloud","text":"","code":"ar_plot_wordcloud( associations, facet_col = cluster, facet_row = NULL, color_by = cluster, top_n = 30, ... )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_wordcloud.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot word clouds — ar_plot_wordcloud","text":"associations associatoR object containing association data generated ar_import targets defined ar_set_targets. facet_col name variable generate column facets . facet_row name variable generate row facets . color_by name variable used color words. top_n integer value specifying number highest frequency words display. ... optional arguments passed geom_text_wordcloud.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_wordcloud.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot word clouds — ar_plot_wordcloud","text":"Returns ggplot plot object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_plot_wordcloud.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot word clouds — ar_plot_wordcloud","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(\"cues\") %>% ar_plot_wordcloud(facet_col = gender, top_n = 10, color_by = NULL)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_project_embedding.html","id":null,"dir":"Reference","previous_headings":"","what":"Project embeddings — ar_project_embedding","title":"Project embeddings — ar_project_embedding","text":"ar_project generates 2D projection target embedding.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_project_embedding.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Project embeddings — ar_project_embedding","text":"","code":"ar_project_embedding(associations, method = \"umap\", n_dim = 2, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_project_embedding.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Project embeddings — ar_project_embedding","text":"associations associatoR object including targets. method character specifying type projection. One c(\"pca\", \"mds\", \"umap\"). Default \"umap\". n_dim integer specifying number projection dimensions. Default 2. ... additional parguments passed projection method.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_project_embedding.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Project embeddings — ar_project_embedding","text":"function returns associatoR object target_embeddings overwritten projected embeddings.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_project_embedding.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Project embeddings — ar_project_embedding","text":"Aeschbach, S., Mata, R., Wulff, D. U. (2024). associatoR. psyArXiv","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_project_embedding.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Project embeddings — ar_project_embedding","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_embed_targets() %>% ar_project_embedding() #> 456 targets with count < min_count were dropped from embedding. #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 1 #> target #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> target_embedding #> # A tibble: 348 × 3 #> target dim_1 dim_2 #> #> 1 intelligence -1.05 -0.327 #> 2 Einstein 0.293 -0.555 #> 3 books 0.926 0.0493 #> 4 IQ tests -2.35 0.0617 #> 5 college 1.89 -0.580 #> # ℹ 343 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_set_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Set analysis targets — ar_set_targets","title":"Set analysis targets — ar_set_targets","text":"ar_set_target defines analysis targets (cues /responses).","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_set_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Set analysis targets — ar_set_targets","text":"","code":"ar_set_targets(associations, targets = c(\"cues\", \"responses\"))"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_set_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Set analysis targets — ar_set_targets","text":"associations associatoR object containing association data generated ar_import. targets character containing either one c(\"cues\",\"responses\") gather targets columns vector manually selected targets.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_set_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Set analysis targets — ar_set_targets","text":"Returns associatoR object containing list tibbles: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes. targets tibble targets including specified analysis target","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_set_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Set analysis targets — ar_set_targets","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 1 #> target #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_subset.html","id":null,"dir":"Reference","previous_headings":"","what":"Subset associations — ar_subset","title":"Subset associations — ar_subset","text":"Subset associatoR object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_subset.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Subset associations — ar_subset","text":"","code":"ar_subset(associations, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_subset.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Subset associations — ar_subset","text":"associations associatoR object containing association data generated ar_import. ... optional logical comparisons filtering participants, cues, responses. Multiple filter arguments combined logic.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_subset.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Subset associations — ar_subset","text":"Returns associatoR object containing list tibbles: participants tibble participants including participant id potential participant attributes. cues tibble cues including cue variable potential cue attributes. responses tibble responses including participant id, cues, responses, response level, additional response attributes.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_subset.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"Subset associations — ar_subset","text":"Note ar_subset() resets associatoR object. Potential targets target_embedding tibbles removed added using ar_set_targets.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_subset.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Subset associations — ar_subset","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_subset(gender == \"female\", education == \"high school\") #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 250 × 3 #> id gender education #> #> 1 501 female high school #> 2 502 female high school #> 3 503 female high school #> 4 504 female high school #> 5 505 female high school #> # ℹ 245 more rows #> #> cues #> # A tibble: 400 × 1 #> cue #> #> 1 intelligence #> 2 Smart #> 3 education #> 4 books #> 5 genius #> # ℹ 395 more rows #> #> responses #> # A tibble: 7,470 × 5 #> id cue response response_position response_level #> #> 1 501 intelligence Smart 1 1 #> 2 501 intelligence education 2 1 #> 3 501 intelligence books 3 1 #> 4 501 intelligence genius 4 1 #> 5 501 intelligence Albert Einstein 5 1 #> # ℹ 7,465 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_summarize_targets.html","id":null,"dir":"Reference","previous_headings":"","what":"Add response variable summaries to targets — ar_summarize_targets","title":"Add response variable summaries to targets — ar_summarize_targets","text":"Add response variable summaries targets","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_summarize_targets.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Add response variable summaries to targets — ar_summarize_targets","text":"","code":"ar_summarize_targets(associations, response_var, fun = mean, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_summarize_targets.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Add response variable summaries to targets — ar_summarize_targets","text":"associations associatoR object containing association data generated ar_import. response_var variable responses tibble associatoR object. fun function used summarize response_vars target, defaults mean. ... additional parameters passed fun.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_summarize_targets.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Add response variable summaries to targets — ar_summarize_targets","text":"Returns associatoR object targets gains additional column including target summary calculated responses table's response_var using fun.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_summarize_targets.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Add response variable summaries to targets — ar_summarize_targets","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_summarize_targets(response_position, fun = median) #> #> ── An associatoR object ──────────────────────────────────────────────────────── #> #> participants #> # A tibble: 1,000 × 3 #> id gender education #> #> 1 1 male high school #> 2 2 male high school #> 3 3 male high school #> 4 4 male high school #> 5 5 male high school #> # ℹ 995 more rows #> #> cues #> # A tibble: 804 × 1 #> cue #> #> 1 intelligence #> 2 Einstein #> 3 books #> 4 IQ tests #> 5 college #> # ℹ 799 more rows #> #> responses #> # A tibble: 29,882 × 5 #> id cue response response_position response_level #> #> 1 1 intelligence Einstein 1 1 #> 2 1 intelligence books 2 1 #> 3 1 intelligence IQ tests 3 1 #> 4 1 intelligence college 4 1 #> 5 1 intelligence smart people 5 1 #> # ℹ 29,877 more rows #> #> targets #> # A tibble: 804 × 2 #> target response_position #> #> 1 intelligence 2 #> 2 Einstein 1 #> 3 books 2 #> 4 IQ tests 2 #> 5 college 4 #> # ℹ 799 more rows #>"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_export.html","id":null,"dir":"Reference","previous_headings":"","what":"Export wordlist — ar_wordlist_export","title":"Export wordlist — ar_wordlist_export","text":"ar_wordlist_export() exports table responses manual spelling correction.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_export.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Export wordlist — ar_wordlist_export","text":"","code":"ar_wordlist_export( associations, file = \"wordlist_correction.csv\", check_spelling = TRUE, check_acronym = TRUE )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_export.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Export wordlist — ar_wordlist_export","text":"associations associatoR object containing association data generated ar_import. file character string specifying filename including folders. Default \"wordlist_correction.csv\". check_spelling logical specifying whether include column identifying likely mispelled words based spell_check_text. Note currently spell check works English associations. Default TRUE. check_acronyms character specifying whether include columns identifying potential acronyms. Acronyms identified two first. First, responses checked Wikipedia list (\"https://en.wikipedia.org/wiki/Lists_of_acronyms\"). Matching original lower-case responses triggers \"likely acronym\" \"potentially acronym\". matched acronym spelled additional column named acronym_candidate. Second, simple acronym detection based letter casing also triggers \"likely acronym\" produce values acronym_candidate. Default TRUE.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_export.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Export wordlist — ar_wordlist_export","text":"Writes .CSV file containing list unique responses plus additional information.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_export.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Export wordlist — ar_wordlist_export","text":"Aeschbach, S., Mata, R., Wulff, D. U. (preparation)","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_export.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Export wordlist — ar_wordlist_export","text":"","code":"ar_obj = ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_normalize_manual(trimws, which = \"left\") ar_wordlist_export(ar_obj)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_import.html","id":null,"dir":"Reference","previous_headings":"","what":"Import wordlist — ar_wordlist_import","title":"Import wordlist — ar_wordlist_import","text":"ar_wordlist_import() import table responses manual spelling correction.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_import.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Import wordlist — ar_wordlist_import","text":"","code":"ar_wordlist_import( associations, file = \"wordlist_correction.csv\", process_cues = TRUE, na = c(\"NA\") )"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_import.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Import wordlist — ar_wordlist_import","text":"associations associatoR object containing association data generated ar_import. file character string specifying filename containing file spelling correction table exported ar_wordlist_export. Must .CSV file contain columns c(\"response\", \"response_correct\"). Default name \"wordlist_correction.csv\". process_cues logical indicating cues processed (.e. changed fun) . na character vector indicating values signifying invalid values. Devaults c(\"NA\").","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_import.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Import wordlist — ar_wordlist_import","text":"Writes .CSV file containing list unique responses plus additional information.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_import.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"Import wordlist — ar_wordlist_import","text":"Aeschbach, S., Mata, R., Wulff, D. U. (preparation)","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_wordlist_import.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Import wordlist — ar_wordlist_import","text":"","code":"ar_obj = ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_normalize_manual(trimws, which = \"left\") ar_wordlist_import(ar_obj) #> Error in mutate_all(., function(x) { if (all(is.na(x))) x = \"\" x}): could not find function \"mutate_all\""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_write_csv.html","id":null,"dir":"Reference","previous_headings":"","what":"Write a csv file — ar_write_csv","title":"Write a csv file — ar_write_csv","text":"ar_write_csv() joins data associatoR object (except potential target embedding) one table writes table disk using write_csv.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_write_csv.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Write a csv file — ar_write_csv","text":"","code":"ar_write_csv(associations, file, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_write_csv.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Write a csv file — ar_write_csv","text":"associations associatoR object containing association data generated ar_import. file character write . ... optional arguments passed readr::write_csv()","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_write_csv.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Write a csv file — ar_write_csv","text":"ar_write_csv() returns joined associations tibble invisibly.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/ar_write_csv.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Write a csv file — ar_write_csv","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(targets = \"cues\") %>% ar_write_csv(file = \"intelligence.csv\")"},{"path":"http://samuelaeschbach.com/associatoR/reference/intelligence.html","id":null,"dir":"Reference","previous_headings":"","what":"GPT-4-generated free associations to 'intelligence' — intelligence","title":"GPT-4-generated free associations to 'intelligence' — intelligence","text":"data set free associations generated GPT-4. data set includes free associations cue word 'intelligence' (response_level == 1), well associations responses participant (response_level == 2). data set includes two participant covariables (gender education) simulated using respective system prompt generating data OpenAI's GPT-4.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/intelligence.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"GPT-4-generated free associations to 'intelligence' — intelligence","text":"","code":"intelligence"},{"path":"http://samuelaeschbach.com/associatoR/reference/intelligence.html","id":"format","dir":"Reference","previous_headings":"","what":"Format","title":"GPT-4-generated free associations to 'intelligence' — intelligence","text":"`intelligence`: tibble 29,820 rows 7 coulumns: participant_id Unique id participant. gender Gender participant. education Education level participant cue Cue word trial. response Response given participant trial. response_position Position response given (1. response cue, 2. response cue, etc.). response_level Response level trial. (1: first-level response cue 'intelligence', 2: second-level response first-level responses participant cue).","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/intelligence.html","id":"source","dir":"Reference","previous_headings":"","what":"Source","title":"GPT-4-generated free associations to 'intelligence' — intelligence","text":"https://doi.org","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/intelligence.html","id":"details","dir":"Reference","previous_headings":"","what":"Details","title":"GPT-4-generated free associations to 'intelligence' — intelligence","text":"Inspect use data calling intelligence R session.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/intelligence.html","id":"references","dir":"Reference","previous_headings":"","what":"References","title":"GPT-4-generated free associations to 'intelligence' — intelligence","text":"Aeschbach, S., Mata, R., Wulff, D. U. (preparation). associatoR.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/pipe.html","id":null,"dir":"Reference","previous_headings":"","what":"Pipe operator — %>%","title":"Pipe operator — %>%","text":"See magrittr::%>% details.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/pipe.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Pipe operator — %>%","text":"","code":"lhs %>% rhs"},{"path":"http://samuelaeschbach.com/associatoR/reference/pipe.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Pipe operator — %>%","text":"lhs value magrittr placeholder. rhs function call using magrittr semantics.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/pipe.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Pipe operator — %>%","text":"result calling `rhs(lhs)`.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/plot.associatoR.html","id":null,"dir":"Reference","previous_headings":"","what":"Plot associations — plot.associatoR","title":"Plot associations — plot.associatoR","text":"Generate plot associatoR object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/plot.associatoR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Plot associations — plot.associatoR","text":"","code":"# S3 method for associatoR plot(associations, facet_by = NULL, top_n = 5, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/plot.associatoR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Plot associations — plot.associatoR","text":"associations associatoR object containing association data generated ar_import targets defined ar_set_targets. facet_by character vector variable names generate facets. top_n numeric scalar ... optional logical comparisons filter responses computing frequencies.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/plot.associatoR.html","id":"value","dir":"Reference","previous_headings":"","what":"Value","title":"Plot associations — plot.associatoR","text":"Returns ggplot plot object.","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/plot.associatoR.html","id":"ref-examples","dir":"Reference","previous_headings":"","what":"Examples","title":"Plot associations — plot.associatoR","text":"","code":"ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(\"cues\") %>% plot(facet_by = \"gender\", top_n = 10) ar_import(intelligence, participant = participant_id, cue = cue, response = response, participant_vars = c(gender, education), response_vars = c(response_position, response_level)) %>% ar_set_targets(\"cues\") %>% plot(facet_by = \"education\", top_n = 10, gender == \"female\")"},{"path":"http://samuelaeschbach.com/associatoR/reference/print.associatoR.html","id":null,"dir":"Reference","previous_headings":"","what":"Generic print for class associatoR — print.associatoR","title":"Generic print for class associatoR — print.associatoR","text":"Generic print class associatoR","code":""},{"path":"http://samuelaeschbach.com/associatoR/reference/print.associatoR.html","id":"ref-usage","dir":"Reference","previous_headings":"","what":"Usage","title":"Generic print for class associatoR — print.associatoR","text":"","code":"# S3 method for associatoR print(x, n = 5, ...)"},{"path":"http://samuelaeschbach.com/associatoR/reference/print.associatoR.html","id":"arguments","dir":"Reference","previous_headings":"","what":"Arguments","title":"Generic print for class associatoR — print.associatoR","text":"x object class associatoR n (optional) use print(n = ) show rows tibble. ... additional arguments passed print()","code":""}]