censusdis is a Python package for discovering, loading and analyzing, U.S. Census demographic, economic, and geographic data and metadata. It is designed to be intuitive and Pythonic, giving users access to the full collection of data and maps the U.S. Census publishes via their APIs.
A personal challenge to discover and write about 15 various APIs in 15 days
censuschat aims to let you ask questions about U.S. Census data in natural language. More specifically, a large language model takes queries about Census data and translates them into tidycensus R code. It uses the ellmer R package under the hood.
Created and evaluated a linear regression algorithm to attempt to predict the average cost of the housing market (ZHVI from Zillow) in given metropolitan statistical areas. Compiled model using features including the federal funds rate and MSA demographics and market features such as unoccupied housing and net migration.
An interactive Power BI project to explore bicycle collisions resulting in injury in San Francisco from 2013 to 2023.
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