Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy
-
Updated
Apr 1, 2024 - Jupyter Notebook
Generating synthetic mobility data for a realistic population with RNNs to improve utility and privacy
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.
Final project on income inequality in New York City in 2016 for my Spring 2018 Data Bootcamp class.
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.
Wrapper for downloading and processing Cartography Boundaries from the US Census Bureau
🌐 A collection of tidied, neighborhood-level public datasets
Information on using geographical data. See wiki.
Add a description, image, and links to the census-tract topic page so that developers can more easily learn about it.
To associate your repository with the census-tract topic, visit your repo's landing page and select "manage topics."