Project analyzing the City of Austin's Open Data for 8.4M shared scooter rides and also compare the city's 311 complaints about the same. Find insights about the popular spots for scooter rides and the correlation if these areas also have more scooter complaints and more | Python Project 1 | UT Data Analysis and Visualization Nov 2019 - May 2020

Contains materials to reproduce descriptive statistics and figures from 'Spatial Inequality in the Smart City: The Sensor Desert Quandary" published in Transactions of the Institute of British Geographers.

An interactive and highly performant map of the 73,000+ US census tracts at all zoom levels using React with Mapbox developer tools and Mapbox Studio.

Spatial data wrangling and query from Census API in R, and resulting QGIS visualization. Motivated by the course "GIS and Spatial Analysis" offered at the University of Chicago in the Spring of 2021.

Wrapper for downloading and processing Cartography Boundaries from the US Census Bureau

Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy

🌐 A collection of tidied, neighborhood-level public datasets

Analysis of publicly available data to identify areas with food access challenges. Study of a link between food insecurity and prevalence of chronic conditions.

A tutorial on visualizing pollution burden scores & median income by CA census tract

SVInsight: A python package for calculating an exploratory social vulnerability index (SVI).

An R-based walkthrough demonstrating how to leverage the tidycensus package to query and analyze U.S. Census data at the census tract and block group level. This project provides reproducible workflows for analyzing demographic and economic data, facilitating socio-ecological analyses across the country and within selected states states.