In tidy data:

1. Each variable forms a column.
2. Each observation forms a row.
3. Each type of observational unit forms a table.

Five most common problems

• Column headers are values, not variable names.
• Multiple variables are stored in one column.
• Variables are stored in both rows and columns.
• Multiple types of observational units are stored in the same table.
• A single observational unit is stored in multiple tables.

Tidy data ensures that values of different variables from the same observation are always paired.

Chapter 6: Refine to Persuade (pgs. 133-142)

• You are trying to reveal truths dormant in the data; to make a case; compete for attention.
• It is often the [data scientists] job to show all the data - to be as objective as possible.
  • Data presentation
  • Data analysis
  • Persuasion with data
• We decided that architecture, analytics, and visualization are all equal players.

Chapter 6: Line Charts vs. Bar Charts

Chapter 6: Creating the thinking unit

Using geographic region chloropleths

Using dots

Making maps in Tableau

• Get Started Mapping with Tableau
• Multiple data sets in one Tableau file
• Joining data sets in a Tableau file

Data interrogation time

Can you find an interesting spatial relationship (lat, long, state, elevation) to race times?