Lecture-02: Working with Data



Topics

  • Data Visualization: An Introduction to ggplot2
  • Data Analysis: Reading Data, An Introduction to Data Wrangling
  • Quantitative Research: Structuring Notebooks

Readings

Required

  • Healy, Kieran. 2018. Data Visualization: A practical introduction.
    • Chapter 1 - “Look at data” (Link)
    • Chapter 2 - “Get started” (Link)
  • R4DS:
    • Print - Chapters 1, 2, and 3 or
    • Web - Chapters 2 through 5 (Link)

Notes on R4DS: For the “Data visualization”" chapter, read up to the section on “Facets”. For the “Data transformation” chapter, read up through the section on “Group summaries with summarise()”.

Assignments

Due Before Class

  • none

Due Before Next Class

  • From This Lecture: Lab 01 - Initial Data Cleaning
  • For Final Project: Memo
  • For Next Lecture: Lecture Prep 03 - Interpreting Plots