04. Data

[briatte]

• [ ] 4.0 Basic data operators
  • [ ] (Tidy) data frames, glimpse, rename and select, mutate, recode
  • [ ] Plain text, read_lines, stringr functions
  • [ ] JSON with jsonlite (or NDJSON)
  • [ ] XML/HTML trees with xml2
• [ ] 4.1 Imports and Exports
  • [ ] Files
  • [ ] Databases
  • [ ] Files from Outer Space: Downloading a Google Spreadsheet
  • [ ] Files from Outer Space: Web Scraping with httr and rvest (and xm2)
• [ ] 4.2. Reshapes and aggregates (N.B. things below are really case studies)
  • [ ] Split-Apply-Combine and tidiness
  • [ ] Reshaping: long and wide (always prefer long)
  • [ ] Aggregating (aggregate, group_by, summarise), slicing (apply, slice etc.)
  • [ ] Coercing to, and binding, data frames
    • [ ] possible example: Facebook data
• [ ] 4.3. Practice
  • [ ] Currently: Estimates of Congressional ideology
  • [ ] >> MOVED from 4.2. Visualizing the U.S. housing market by city (Case Schiller Index)
  • [ ] >> MOVED from 4.2. Visualizing U.S. homicide trends by weapon type

TODO:

• Include Twitter API example.

Notes:

• Complex data object structures should be covered in Section 02 'Objects'