Skip to content
DHNow
  • Home
  • About
    • About DHNow
    • History
    • Our Staff
    • Subscribe to DHNow
    • Frequently Asked Questions
  • Resources
    • All Posts
    • Subscribed Feeds
    • Teaching with DHNow
    • Nominate an RSS Feed or Source
    • Setting Up RSS Feed
    • Feed & Source Criteria
  • Participate
    • DHNow Editor Programs
    • Sign up to be a Guest Editor
    • Sign up to be an Editor-at-Large
    • Our Editors
Editors loginEditors login
DHNow

Uncategorized

Uncategorized

Resource: Update: How to geocode a CSV of addresses in R

By: Martin FrigaardJune 17, 2020December 17, 2024
Resources

This post is an update from the previous post, “How to geocode a CSV of addresses in R”. We will be using the ggmap package again, and be sure to investigate the usage and billing policy for Google’s Geocoding API.

Read full post here.

 

Data Journalism in R How to Insights maps rstats tidyverse tutorial

Post navigation

Previous post
CFP: The Third Workshop on Visualization for Communication (VisComm) at VIS 2020
Next post
Opportunity: ELO Amplify Anti-Racism Fellowships (June 21)

Editors' Choice

  • Editors’ Choice: Futzing with Newspaper OCR
    by Shawn Graham
    January 21, 2026
  • Editors’ Choice: Marimo Notebooks
    by Zach Butler
    January 21, 2026
  • Editors’ Choice: Common Threads
    by Michelle Pera-McGhee
    January 21, 2026

News

  • CFP: Navigating Digital Humanities Careers Beyond the Ivory Tower
    by Jeanelle Horcasitas, Lisa Tagliaferri, Kalle Westerling
    January 21, 2026
  • CFP: Digital Americas: Global Perspectives on American Narratives Online
    by Digital Americas
    January 21, 2026
  • Report: Metadata Matters: Modernizing the Vanderbilt Television News Archive Database
    by Jim Duran & Vaibhav Ravinutala
    January 21, 2026

Blog Posts

  • DHNow in Review: 2025
    by Colleen Nugent
    December 19, 2025
  • DHNow: 2017 in Review
    by DH Now
    December 12, 2017
  • DHNow: 2016 in Review
    by DH Now
    December 20, 2016
DHNow

Digital Humanities Now aggregates and selects material from our list of subscribed feeds, drawing from hundreds of venues where high-quality digital humanities scholarship is likely to appear, including the personal websites of scholars, institutional sites, blogs, and other feeds.

  • Home
  • About
    • About DHNow
    • History
    • Our Staff
    • Subscribe to DHNow
    • Frequently Asked Questions
  • Resources
    • All Posts
    • Subscribed Feeds
    • Teaching with DHNow
    • Nominate an RSS Feed or Source
    • Setting Up RSS Feed
    • Feed & Source Criteria
  • Participate
    • DHNow Editor Programs
    • Sign up to be a Guest Editor
    • Sign up to be an Editor-at-Large
    • Our Editors
Editors loginEditors login

© 2026 by Digital Humanities Now is licensed under CC BY 4.0

Privacy Policy