9. Tidy Data
Data that’s easy to transform, visualise and model
Key idea: store variables in a consistent way, always as columns
Useful tools to tidy messy data: gather, spread and separate.
Google “tidy data” for more details.
10. Data Manipulation | + group by
select: pick columns by name
filter: keep rows matching criteria
arrange: reorder rows
mutate: add new variables
summarise: reduce variables to values
12. Learn More
Tableau
Video tutorials
R Universe
TryR interactive tutorial
Tidy Data (tidyr)
Data Manipulation (dplyr)
Graphing & Visualization (ggvis)
Python Universe
Data Manipulation (Pandas)
Graphing & Visualization (matplotlib)