Data visualization

For the readings this week, please feel free to only skim each reading. It is highly recommended, however, that you fully complete the DataCamp exercises. These exercises will provide you with a hands-on introduction to using ggplot2, the best-known (and best overall) visualization library in R.

Readings

1. Why Scientists Need to be Better at Data Visualization
   Knowable Magazine, November 11, 2019
   Betsy Mason

2. Data Visualization in Sociology
   Annual Review of Sociology, 2014, 40: 105-128.
   Kieran Healy and James Moody
   (Optional reading)

3. An Economist’s Guide to Visualizing Data
   Journal of Economic Perspectives, 2014, 28 (1): 209-234.
   Jonathan A. Schwabish
   (Optional reading)

4. Data Looks Better Naked
   DarkHorse Analytics, August 20, 2013
   Joey Cherdarchuk

5. ggplot2 Cheatsheet
   RStudio

DataCamp

• Introduction to R (only Chapter 4: “Factors”)

• Data Visualization with ggplot2 (Part 1)

• Data Visualization with ggplot2 (Part 2)

In-class exercise

Class exercises: Visualization_Exercises.R