Extract census data from summary files with R

Spatial Data Files and Census Estimates for NYC

Turn any AI assistant into your personal Census data expert. Ask questions in plain English, get accurate demographic data with proper interpretation and context.

American Community Survey data on people and households

Provides tools for calculating a Social Vulnerability or Adaptive Capacity Index in R using the US Census API and Tidycensus. Creates an interactive leaflet web map, CSV and ESRI Shapefile.

A R package to work with ACS data from {tidycensus}

Download US Census Bureau's American Community Survey (ACS) Public Use Micro Sample (PUMS) complete data files from US Census' FTP server.

Code to create tax filing units from the American Community Survey. Used to do simulation of federal tax policy change to evaluate changes in poverty rates.

Python project to process a weakly structured docx file and produce a structured, 508 compliant docx file, a txt version, and a machine readable version.

Estimating Local SNAP Eligibility using Monte-Carlo Methods

Heat vulnerability of ZCTAs within the Boston Metropolitan Region based on demographic and environmental indicators.

Machine learning fairness analysis of U.S. wage inequality using 2022 ACS data. Gradient Boosting, Oaxaca-Blinder decomposition, fairness audit

Shiny APP to explore the American Community Survey Data

D3.js visualization of commuting flows data from American Community Survey by the US Census

A benchmarking test between data.table functions and equivalent dplyr functions.

Exploring US/NY commuting & employment patterns

The module, MarkeyDataTools, is a module that import a variety of publicly available data. For now, the American Community Survey is the only dataset available to be imported. The reason the module is named MarkeyDataTools is not because my name is Markey (my name is Lee) but because it is created to make the data preprocessing easier and faster…

[data engineer assessment] End-to-end data pipeline for the ACS dataset featuring Python, PySpark, PostgreSQL, and Kubernetes (Bronze / Silver / Gold architecture).

This analysis investigates the impact of the COVID-19 pandemic on the employment outcomes of people with disabilities using microdata from the American Community Survey. Treating the pandemic as an exogenous labour-market shock, the analysis employs a difference-in-differences framework to estimate changes in the disability-employment

Short tutorial on using R for spatial analysis and web mapping of U.S. Census Bureau data.