Day 2

Data Management, Analysis, and Visualization

  • Morning Session: Data Management
    • Reading and writing data
    • Data cleaning and transformation with dplyr
    • Tidying data with tidyr
  • Afternoon Session: Data Analysis & Data Visualization
    • Exploratory data analysis (EDA) techniques
    • Visualizations with ggplot2
    • Best practices for presenting data

Suggested Reading:

- “R for Data Science” by Hadley Wickham & Garrett Grolemund, Chapters 5-7, 11-14