DSPG 2019-2020 Training Materials

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|-- 00_introduction
|   |-- 00_program-introduction
|   |   `-- DSPG\ 2018\ Intro.pdf
|   |-- 01_the-public-good-data-science-process
|   |   `-- 2019-06-05_schroeder_data-science-processes-for-evidence-based-policy.pptx
|   `-- project-posters
|       |-- 2016-DSPG-Posters.zip
|       |-- 2017-DSPG-Posters.zip
|       |-- 2018-DSPG-Posters.zip
|       `-- 2019-DSPG-Posters.zip
|-- 01_getting_ready
|   |-- 00_CLD3-Processes-Platforms-Examples.pdf
|   |-- 01_System-Setup-2018.Rmd
|   |-- 02_SDAD-Researcher-Data-Use-Agreement.pdf
|   `-- 03_SDAD-Data-Management-Plan-Nov-2018.pdf
|-- 03_code_management
|   |-- DataCamp
|   `-- Intro\ to\ Git.pptx
|-- 04_coding_standards
|   |-- 01_naming_things
|   |   `-- naming-slides.pdf
|   |-- 02_code-and-data-documentation
|   |   |-- 003-documentation_metadata.Rmd
|   |   `-- 003-documentation_metadata.html
|   `-- 03_style-guides
|-- 05_r-basics
|   |-- 00_intro_to_r
|   |   |-- DataCamp
|   |   |-- README.md
|   |   |-- introduction_to_R.Rmd
|   |   |-- introduction_to_R.html
|   |   |-- introduction_to_R.md
|   |   `-- introduction_to_R_files
|   |-- 01_datetimes
|   |   |-- 080-datetimes.Rmd
|   |   |-- 080-datetimes.html
|   |   `-- 080-datetimes.md
|   |-- 02_functions-and-control-flow
|   |   |-- 120-iteration.Rmd
|   |   |-- DataCamp
|   |   |-- README.md
|   |   |-- functions-and-control-flow.Rmd
|   |   |-- functions-and-control-flow.html
|   |   `-- functions-and-control-flow.md
|   |-- 03_tables-of-data-3-ways
|   |   |-- 00_3-ways-to-read-csv.Rmd
|   |   |-- 00_3-ways-to-read-csv.html
|   |   |-- 00_3-ways-to-read-csv.md
|   |   |-- 01_3-ways-to-subset.Rmd
|   |   |-- 01_3-ways-to-subset.html
|   |   |-- 01_3-ways-to-subset.md
|   |   |-- 02_3-ways-to-rename-columns.Rmd
|   |   |-- 02_3-ways-to-rename-columns.html
|   |   |-- 02_3-ways-to-rename-columns.md
|   |   |-- 03_3-ways-to-group.Rmd
|   |   |-- 03_3-ways-to-group.html
|   |   |-- 03_3-ways-to-group.md
|   |   |-- 04_2-ways-to-pipe.Rmd
|   |   |-- 04_2-ways-to-pipe.html
|   |   |-- 04_2-ways-to-pipe.md
|   |   |-- 05_3-ways-to-bind-rows.Rmd
|   |   |-- 05_3-ways-to-bind-rows.html
|   |   |-- 05_3-ways-to-bind-rows.md
|   |   |-- 06_3-ways-to-profile-consistency.Rmd
|   |   |-- 07_whypipes.Rmd
|   |   |-- 07_whypipes.html
|   |   |-- 07_whypipes.md
|   |   |-- datacamp\ free\ tutorials
|   |   |-- pigeon-racing.csv
|   |   |-- ticket_cleint.csv
|   |   `-- ticket_client.zip
|   |-- 04_regex
|   |   |-- RVerbalExpressions.R
|   |   `-- regex_in_r_Teja_Pristavec
|   `-- 05_relational_data_and_sql
|       |-- 050-relational_data_w_dplyr_r.Rmd
|       |-- 08_sql
|       |-- DataCamp
|       |-- PostgreSQL\ Basics.docx
|       `-- PostgreSQL\ Basics.pdf
|-- 06_data_discovery
|   |-- 00_discovery_workshop
|   |   `-- DN-Data\ Discovery\ Workshop\ &\ Handouts\ DSPG\ [Autosaved].pptx
|   `-- 01_literature-reviews
|       `-- DSPG\ 2019\ Literature\ Review.pdf
|-- 07_ethics_and_experiments
|   |-- 00_ethics
|   |   |-- Checklist
|   |   |-- Deck\ 2019
|   |   |-- Health\ Ethics\ (Joy\ Tobin)
|   |   `-- Readings
|   `-- 01_behavioral_experiments
|       `-- Instructions-bilateral-global.pptx
|-- 08_data-ingestion
|   |-- 00_importing-data
|   |   |-- 01_ingest
|   |   |-- 01_read_combine_MOST_USEFUL.R
|   |   |-- 02_shapefiles.R
|   |   |-- 03_shapefiles-from-gis-database.R
|   |   |-- data
|   |   `-- quick_character_dates_to_dates.R
|   |-- 01_web-scraping
|   |   |-- README.md
|   |   |-- github-api4-graphql.R
|   |   |-- old-150-api_web_scape.Rmd
|   |   |-- va_abc-licensees.xlsx
|   |   |-- webscraping.Rmd
|   |   `-- webscraping.html
|   `-- DataCamp
|-- 09_profiling
|   |-- 00_read_combine_MOST_USEFUL.R
|   |-- 01_some_profile_basics.R
|   |-- 02_completeness.R
|   |-- 03_valid_values.R
|   |-- 04_record_consistency.R
|   `-- 05_longitudinal_consistency.R
|-- 10_data_preparation
|   |-- 00_data_cleaning_and_transformation
|   |   |-- DSPG\ --\ Data\ Cleaning\ Lesson.pptx
|   |   |-- DSPG\ --\ Data\ Transformation\ Lesson.pptx
|   |   |-- Franchise2.csv
|   |   |-- de\ Jonge\ &\ van\ der\ Loo\ (2013)\ -\ An\ Introduction\ to\ Data\ Cleaning\ with\ R.pdf
|   |   |-- franchise.csv
|   |   |-- job_availability_gravity_index.R
|   |   `-- pig-pen1.csv
|   `-- 01_tidy-data
|       `-- 040-tidy_data.Rmd
|-- 11_data_exploration
|   |-- 00_summarization
|   |   `-- summarization
|   |-- 01_text-mining
|   |   |-- 180-text_mining.Rmd
|   |   `-- text_mining_in_r_Teja_Pristavec
|   `-- 02_geospatial
|       |-- spatial_sf_intro
|       `-- trump_scores
|-- 12_media-communication
|   |-- 00_SAGE-Writing\ Skills-Michael\ Todd
|   |   |-- Writing\ an\ op-ed2.docx
|   |   |-- Writing\ for\ MethodSpace.docx
|   |   `-- example-OSS-Sage\ Brief.docx
|   `-- 01_media-speaking
|-- 13_data_modeling
|   |-- 330-CART.Rmd
|   |-- AI_and_ML_Intro_MITRE_with_python
|   |   |-- Demo-Clustering-FakeData.ipynb
|   |   |-- Demo-DataAnalysis-Iris.ipynb
|   |   |-- Demo-DecisionTree-Iris.ipynb
|   |   |-- Demo-GradientDescent-Basic.ipynb
|   |   |-- Demo-MultilayerPerceptron-MNIST.ipynb
|   |   |-- Demo-PCA-MNIST.ipynb
|   |   |-- IntroductionToAIML-4x3.pdf
|   |   |-- README.md
|   |   |-- data
|   |   `-- requirements.txt
|   |-- Predictive\ Modeling
|   |   |-- Decision_Tree_Training.R
|   |   |-- KNN_Training1.R
|   |   |-- Predictive\ Modeling\ Presentation.pptx
|   |   `-- Prostate_Cancer.csv
|   `-- unsupervised_learning
|       |-- UnsupervisedLearning7-17-19.pdf
|       `-- unsupervised_learning.R
|-- 14_data_presentation
|   |-- 00_visualization_standards
|   |   |-- 01-Visualize-Slides.pdf
|   |   |-- Colorblind_Palette.R
|   |   |-- DSPG\ 2019\ Visualization.pdf
|   |   |-- Few_2007.pdf
|   |   |-- R_Color_Cheatsheet.pdf
|   |   |-- R_Colors.pdf
|   |   |-- R_Colorspace.pdf
|   |   |-- Zeileis_2009.pdf
|   |   `-- theme_SDAD.R
|   |-- 01_graphics_with_ggplot
|   |   `-- 010-data_vis.Rmd
|   |-- 02_r-shiny-dashboards
|   |   |-- README.md
|   |   |-- app1.R
|   |   |-- app2.R
|   |   |-- app3.R
|   |   |-- app4.R
|   |   |-- app5.R
|   |   |-- app6.R
|   |   |-- app7.R
|   |   |-- app8.R
|   |   |-- crime\ data.csv.gz
|   |   |-- dashboard_tutorial.Rproj
|   |   |-- dynamic.R
|   |   `-- scratch_app.R
|   `-- 03_dashboard-examples
|       |-- Measuring-STW-App
|       |-- acpd
|       `-- dspg19broadband
|-- README.md
|-- data
|   |-- Census
|   |   `-- tiger
|   `-- MLS
|       |-- 2009.csv
|       |-- 2010.csv
|       |-- 2011.csv
|       |-- 2012.csv
|       |-- 2013.csv
|       `-- 2014.csv