R Course Fall 2019 Schedule

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September 16, 2019

  • Finishing up Chapter 3 of R4DS
    • Short review: options for visualization in ggplot2: color, fill, shape, size, facets, statistical transformations
  • Chapter 4 Workflow
    • Review some coding basics: assignment, naming conventions, syntax of functions, basic de-bugging
  • Chapter 5 Data Transformation
    • Using the nycflights13 dataset
    • 5 key dplyr functions
    • Logical operators

September 23, 2019

  • Review of filter() function from Chapter 5 of R4DS
  • Continue with arrange(), select(), mutate()
  • Practice with exercises 5.2.4, 5.3.1, 5.4.1, 5.5.2
  • If time, start 5.6 grouped summaries with summarize()

September 30, 2019

  • Finish Chapter 5 of R4DS
  • grouped summaries with summarize()
  • grouped mutates

October 7, 2019

  • Chapter 6 Workflow: scripts of R4DS - go over saving and running R scripts
  • Chapter 7 Exploratory Data Analysis
    • Visualizing distributions
    • Unusual values
    • Missing values
    • Visualizing categorical vs. continuous variables

October 14, 2019

  • No class - Fall Break

October 21, 2019

  • Review visualizing distributions
  • Continue with Chapter 7
    • Patterns and models
  • Chapter 8 Workflow: projects
    • Organization of files
    • Paths and directories
    • here() package
  • Set-up example directory structure with R project

October 28, 2019

  • Chapter 10 Tibbles R4DS
  • Chapter 11 Data import
    • loading different kinds of data: csv, RDS, RData
    • writing to a file
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Elisha Cohen
Data Science Faculty Fellow

I am a Data Science Faculty Fellow at NYU’s Center for Data Science. I work at the intersection of political methodology, applied statistics and data science.