Explore a critical social issue with this unique homelessness dataset for the Gaslamp district.
San Diego’s computerized street lamps reveal that San Diegans party where they should be working.
Google Colab offers hosted Jupyter notebooks that are integrated with Google Drive and Github. The customized Jupyter Notebook application has some nice features, and a few quirks, but has one feature that I’ve wanted for years: comments. This version of Jupyter Notebook seems perfect for collaborating on notebooks, which is otherwise very difficult. Here is … Read moreSharing Jupyter Notebooks with Google Colab
New data projects: Homeless, Building a path to college, and eliminating student hunger.
GIS For Journalists: help us plan a workshop to train journalists in geographic analysis and map making skills.
Use your data super-powers for a better San Diego! Three new non profit data projects: Homelessness, college bound students, and in-school breakfast programs for school kids.
For this workshop, you will need to install: QGIS. Also, install OpenLayers Tableau Review of Data Sources Data Lists for the Hackathon Census Reporter Healthy Places Index Sangis Planning Database Major Concepts Census, Tracts and Zip Codes Joins: Attribute and Spatial Datasets to load Census Reporter. Median Household Income in the Past 12 Months San … Read moreBig Data Hackathon Workshop
Downtown parking patterns, from 30 million parking events, recorded by San Diego’s smart street-lamps.
New crime data for 2016 and 2017, extending our collection from 2006 to 2017.
Design and build innovative products for “Smart Living” and win $3,550 in prizes at the SDSU Big Data Hackathon, March 6 and 9.