Introduction to data analysis

Hadley Wickham. hadley@rice.edu
Garrett Grolemund. grolemund@gmail.com
TA: Ollie McDonald. ollie.mcdonald17@gmail.com
Section 1: 4-5:15pm Tuesday & Thursday. Ryon 102.
Section 2: 2:30-3:45pm Tuesday & Thursday. Ryon 102.
Office hours: 2:30-3:30 Wednesday. DH 2125.

Class notes

• Nov 29. Advanced techniques and professional development

• Nov 22. More models

  • nasadata.rds
  • glyphs.r

• Nov 17. Models as tools

  • rec-swipes.csv

• Nov 10. Date times

  • emails.csv

• Nov 8. Time and space

  • interesting-names.csv

• Nov 3. Tables

  • movies2.csv.bz2

• Nov 1. Tidy data

  • billboard-encoding.r
  • billboard.csv
  • pew.txt
  • tb.csv
  • weather.txt

• Online. Regular expressions

  • watch video
  • test regexps
  • text description of regexp
  • tool to build regexps
  • regexp reference

• Online. String processing

  • watch video
  • email.rdata

• Oct 20. Polishing graphics for presentation

  • tx-borders.csv
  • tx-pop.csv

• Oct 18. Graphics: critique and theory

• Oct 13. Maps and locations

  • muni-map.csv.bz2
  • state-map.csv.bz2
  • locations.csv.bz2
  • deaths08.csv.bz2

• Oct 6. Data structures

• Oct 4. Plyr case study

  • baby-both.csv

• Sep 29. Groupwise operations

• Sep 27. Advanced data manipulation

  • bnames2.csv.bz2
  • births.csv

• Sep 22. Simulation

  • slots.csv
  • payoff-v.r

• Sep 20. Functions

• Sep 15. Problem solving

  • epa-official.dbf
  • epa-clean.r

• Sep 13. More about data

  • slots.csv
  • slots.txt

• Sep 8. Statistical reports

  • sample report

• Sep 6. Shortcuts and external data

  • tricky-1
  • tricky-2
  • tricky-3
  • tricky-4

• Sep 1. Subsetting and missing values

• Aug 30. Scatterplots and subsetting

• Aug 25. Displaying distributions

• Aug 22. Introduction R & ggplot2

  • getting to know you