Data Science

This page is a repository of links/resources that were originally published or may be of interest to the #data-science channel in the Measure Slack team. As it grows, we can spin off separate pages such that this becomes more of a shell page linking to those pages.

General Purpose Resources

• Coding collaboration (think Google Docs for code) - http://codr.io/
• Flowchart showing which statistical method applies based on the variable type and question type
• Choosing the right estimator (similar idea as above)

R Resources

• Dartistics
• Mark Edmondson's Code Blog
• R for Data Science by Hadley Wickham - full book online
• Tidy Text Mining by Julia Silge

R Packages

This isn't an exhaustive list of R packages (obviously), but is a list of packages that are specifically of interest to digital analysts:

• googleAnalyticsR - package for pulling data from Google Analytics using the v4 API
• bigQueryR - package for pulling data from Google BigQuery
• RSiteCatalyst - package for pulling data from Adobe Analytics

Python Resources