13  Basic Visualization & Summary Statistics

14 Chapter overview

This chapter is not the ggplot2 chapter or a deep stats chapter. It’s a connection between the two quarters of the class.

15 Putting things together

15.1 how data manipulation in the tidyverse leads to easier visualization

15.2 how visualization leads to better understanding of your data

15.3 how visualization and summary statistics fit together

16 Distributions of continuous variables

16.1 Histograms

16.2 Box plots

16.3 Summary statistics: mean, median, variance, standard deviation

17 Comparing groups

17.1 Bar plots

17.2 Summary statistics: grouped means, medians, etc.

17.3 t-tests

17.4 More advanced for later: ANOVA, chi-squared tests

18 Relationships between continuous variables

18.1 Scatter plots and smoothing lines

18.2 Correlation

18.3 Basic linear regression

18.4 More advanced for later: Multiple regression, logistic regression