zipcodeR Reaches 53+ Peer-Reviewed Citations, Including MIS Quarterly
My open-source R package for ZIP code analysis has now been cited in 53+ peer-reviewed publications, including MIS Quarterly—a Financial Times Top 50 journal.
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A Spatial Analysis of New Jersey's Medical Cannabis Dispensary Accessibility
An isochrone-based GIS analysis revealing that over 756,000 New Jerseyans in 110 municipalities face 30+ minute drives to the nearest medical cannabis dispensary.
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New Jersey's official geocoding API now has a client for R
Using New Jersey's official state geocoding service just got easier! This post introduces njgeo, a new R package that simplifies working with New Jersey-specific spatial datasets.
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2022 New Jersey Congressional Redistricting Map
An analysis and visualization of New Jersey's new congressional districts adopted by the Redistricting Commission, created using R and Leaflet.
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What Social Media Data Tells Us About the 2021 New Jersey Governor's Race
A sentiment analysis of tweets about the Murphy-Ciattarelli gubernatorial race reveals key differences in campaign rhetoric, word choice, and online engagement.
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Automating web scraping with GitHub Actions and R
GitHub Actions is a powerful tool for automating workflows. This post presents an example of using GitHub Actions to automatically run a web scraper in R and commit the results to a repository.
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Announcing zipcodeR: A new R package for ZIP code analysis
Introducing zipcodeR, an R package that makes it easy to work with ZIP code-level data in spatial analysis and demographics research
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njtr1: An R Package to Download & Analyze New Jersey Car Crash Data
Introducing njtr1, an R package that automates the acquisition and cleaning of motor vehicle crash data published by the New Jersey Department of Transportation.
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What's New in zipcodeR v0.2?
A review of the new features in zipcodeR v0.2, including congressional district lookups, FIPS code searches, and community-contributed improvements.
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Sentiment Analysis of Governor Murphy's Executive Orders
Using natural language processing to analyze the sentiment and emotional content of New Jersey Governor Murphy's executive orders during the COVID-19 pandemic.
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