Python 3 examples of using economic data APIs and working with economic microdata. Includes bd CPS.
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Updated
Nov 6, 2023 - Jupyter Notebook
Python 3 examples of using economic data APIs and working with economic microdata. Includes bd CPS.
A MLOps workflow to classify incomes based on publicly available Census Bureau data.
CMV is a citySDK based map visualizatoin tool
This project is part of the Knowledge Discovery in Database (ITCS 6162) course from University of North Carolina at Charlotte
An R client for Census Bureau's Small Area Income and Poverty Estimates (SAIPE) API
Business Establishment Automated Classification of NAICS
Analyzing the current trends shaping people's lives, as well as creating charts, graphs, and interactive elements to help readers understand your findings. Data set includes data on rates of income, obesity, poverty, etc. by state.
Census Survey Explorer created for the U.S. Census Bureau that allows users to filter, search, and locate surveys easily as part of my extension for the 2020 Civic Digital Fellowship.
Title's pretty clear :- US Census Bureau sourced tract shapefiles converted to GeoJSON for mapping purposes
A site for small businesses to understand how they can use and be empowered by Census data
Repository of code used for News21 "Unmasking America" project.
Recreating the U.S. Census Bureau's dot-density map illustrating the domestic migration across counties from 2020 to 2022
A scatter plot using D3 that represents each state with two of the data variables from data set US Census Bureau as rates of income, obesity, poverty, etc.
R Data Package for Gazetteer Files from U.S. Census Bureau
Using information from the U.S. Census Bureau and the Behavioral Risk Factor Surveillance System, create charts, graphs and interactive visualizations to help understand findings
Retrieve data from the U.S. Census Bureau API https://www.census.gov/data/developers.html
Lightweight python wrapper for the US Census APIs
Interactive visualization showing economic disparities
Predicting the hyper-local prevalence of chronic kidney disease with stochastic gradient boosting
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