RSocrata
RSocrata copied to clipboard
Chicago
Document users of this great project
Would be great for folks to know which governments, organizations, and individuals are using RSocrata and for what use cases.
Perhaps a roll call here would suffice or maybe a GH Wiki page.
Here would be good. I'm actually not as familiar with who is actually using that. I'll tweet something out, though.
Hobbyist user who is trying to identify cool use cases for this tool in order to extend open data into R. Joins, etl, data modeling, data normalization have been the uses identified to date
Unsubscribe
On March 24, 2016 at 8:48:23 PM, stuagano ([email protected]) wrote:
Hobbyist user who is trying to identify cool use cases for this tool in order to extend open data into R. Joins, etl, data modeling, data normalization have been the uses identified to date
— You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub
This search may help others peruse current users on https://github.com/search?l=r&q=RSocrata&type=Code
A number of textbooks have used RSocrata in their tutorials. I had shared this with the @Chicago team internally, but now realizing we should have documented it here. Below is a list of books using RSocrata in their coding examples:
- Mastering Data Analysis with R by Gergely Daroczi. 2015. Packt Publishing.
- Modern Data Science with R by Benjamin S. Baumer, Daniel T. Kaplan, and Nicholas J. Horton. 2017. CRC Press.
- Hands-On Data Science with R by Vitor Bianchi Lanzetta, Nataraj Dasgupta, Ricardo and Anjoleto Farias. 2018. Packt Publishing.
- Practical R for Mass Communication and Journalism by Sharon Machlis. 2018. CRC Press.
Two use-cases that were buried in Twitter notifications:
- State of Michigan https://socrata.com/blog/how-michigan-uses-soda-r-to-create-rich-informative-dashboards/
- Baltimore Sun https://twitter.com/christinezhang/status/1053237930284720128
Another book has been published this year that use the RSocrata package: Public Policy Analysis: Code and Context for Data Science in Government