Update to R for Data Analysis Lesson

[mayalapp]

• [x] Changes to piping/summarize
  • Changed order of introducing piping: used summarize without piping first (summarize(data, mean(lifeExp))) then changed it to piping to explain how piping lets you pipe in as the first argument
  • "averageLifeExp" for column name instead of "average" (more informative)
  • note that "summarise" is identical
  • New exercise with summarize (e.g. find average population using %>% and summarize or something similar)
• [x] Exercises taught but not in curriculum:
  • mutate to find population in millions
  • select the columns needed for the reshaping section
  • selecting columns for co2 dataframe
• [x] Content taught but not in curriculum:

  • 64 write_csv( ) for final gapminder_co2 dataframe

  • add, commit, push to git before data cleaning and at end of lesson (if time)
• [x] Variable name changes and save file
  • Change "total" to "total_emissions" and "per_capita" to "per_capita_emissions"

  • 70 Change gapminder_data to gapminder_data_2007 for second part of lesson

  • 105 Save file as un_data_analysis.R at beginning of lesson (after opening script)

[mayalapp]

I'm working on "Exercises taught but not in curriculum"

[dkcoxie]

I've created a separate branch to address issues listed below "Changes to piping/summarize"

[dkcoxie]

Created new branch for "Variable name changes and save file", will include changes addressing issues 70 & 105