Difference between revisions of "Data Science"
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m (Tgwilson moved page Coding for Analysis to Data Science: More directly aligning with the #data-science channel in the Measure Slack) |
(Broke out some R resources) |
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| − | This page is a | + | This page is a repository of links/resources that were originally published or may be of interest to the #data-science channel in the [http://join.measure.chat 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''' | '''General Purpose Resources''' | ||
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* [http://r4ds.had.co.nz/ R for Data Science by Hadley Wickham - full book online] | * [http://r4ds.had.co.nz/ R for Data Science by Hadley Wickham - full book online] | ||
* [https://www.tidytextmining.com/ Tidy Text Mining by Julia Silge] | * [https://www.tidytextmining.com/ Tidy Text Mining by Julia Silge] | ||
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| + | '''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: | ||
| + | * [http://code.markedmondson.me/googleAnalyticsR/ googleAnalyticsR] - package for pulling data from Google Analytics using the v4 API | ||
| + | * [http://code.markedmondson.me/bigQueryR/] - package for pulling data from Google BigQuery | ||
| + | * [http://randyzwitch.com/rsitecatalyst/ RSiteCatalyst] - package for pulling data from Adobe Analytics | ||
| + | |||
'''Python Resources''' | '''Python Resources''' | ||
Revision as of 09:39, 23 January 2018
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/
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
- [1] - package for pulling data from Google BigQuery
- RSiteCatalyst - package for pulling data from Adobe Analytics
Python Resources
