Using NYC 311 data, Jonathan Auerbach and Chris Eshleman show how to use Bayesian methods to understand government service demand using storms, which serve as cleanly defined natural experiments. Part one in a two-part brings together NYC 311 data and Census data to set the stage for powerful statistical research.
-
Notifications
You must be signed in to change notification settings - Fork 3
Using NYC 311 data, Jonathan Auerbach and Chris Eshleman show how to use Bayesian methods to understand government service demand using storms, which serve as cleanly defined natural experiments. Part one in a two-part brings together NYC 311 data and Census data to set the stage for powerful statistical research.
CommerceDataService/tutorial_311_trees_p1
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Using NYC 311 data, Jonathan Auerbach and Chris Eshleman show how to use Bayesian methods to understand government service demand using storms, which serve as cleanly defined natural experiments. Part one in a two-part brings together NYC 311 data and Census data to set the stage for powerful statistical research.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published