This data project collects a variety of datasets related to homelessness in San Diego, Los Angeles and the US. The main work of the project is to collet and package data. The source packages are in the Github repo for this project and the built datasets are in the San Diego Regional Data Library’s data repository, in the Homelessness collection.
Additional datasets that are important for analyzing homeless issues are in the Urban Planning collection.
For beginning analysts, we recommend doing analysis in Google Colab, a hosted version of Jupyter Notebook. See this Colab notebook for the San Diego 2018 PITC for an example of how to get started. Google Colab is particularly valuable for shareing and commenting on notebooks.
An important related project is digitizing maps from monthly counts of Downtown San Diego homeless.
If you’d like to formally join this project you can:
If you’d like to join the project, please follow these instructions for joining a project.
Important resource for this project include:
We recommend these tools, all of which are free, open source, or both: