An R project that investigates and visualizes the effect of sex and education on an individual's income level through the use of a full-factorial two-way ANOVA test and relevant post hoc significance tests conducted over a 2014 Pew Research Center dataset consisting of higher education attainment, gender, and income data.
education
ggplot2
r
gender
pew
hypothesis-testing
anova
r-programming
income
sex
post-hoc
r-studio
analysis-of-variance
pew-research
post-hoc-analysis
two-way-anova
hypothesis-tests
anova-test
full-factorial
factorial-anova
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Updated
Jan 8, 2020 - R