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