R

A map showcasing the diverse population density of New Jersey, with a 3D-printed component

New Jersey’s new congressional districts have been finalized by the New Jersey Congressional Redistricting Commission. This post presents an interactive visualization of the new boundaries that will take effect beginning with the new election cycle for the state’s 12 congressional districts.

An R package for geocoding data using New Jersey’s official geocoding service data

Social media is a powerful tool for mining public opinion. This post presents a basic sentiment analysis of a collection of tweets sent about the two candidates for the 2021 New Jersey governor’s race.

GitHub Actions is a powerful tool for automating workflows using the GitHub platform. This post presents an example of using GitHub actions to automatically run a web scraper in R using the {rvest} package and commit the results to a repository to automatically update a CSV with structured data pulled from the web.

Working with New Jersey-specific motor vehicle crash data can generate valuable insights for researchers and transportation planners, but finding it requires digging through government websites and manually cleaning the data. This post introduces {njtr1}, a new R package that automates the acquisition and cleaning of motor vehicle crash data published by the New Jersey Department of Transportation.

An R package that makes it easy to download and analyze New Jersey car crash data

This post reviews some of the changes that have been made to the {zipcodeR} package in version 0.2 which was recently accepted by CRAN.

There has been a lot of interest in Governor Murphy’s executive orders and the various public health restrictions they’ve codified during the COVID-19 pandemic. In this post I will show how sentiment analysis can be applied to the governor’s executive orders in New Jersey to analyze the content of them.

Using zipcodeR in academic work? Check out the journal article! In this post I will introduce zipcodeR, my new open-source R package that provides a set of integrated functions and data that make working with ZIP code-level data easier in R.