Skip to content

R for Journalists

Unlock the power of R

  • What Is R?
  • R for Rob
  • GitHub
  • Twitter
  • Etsy
  • Home
  • 2016
  • October
  • 21
  • Seen Elsewhere: 21st October 2016

Seen Elsewhere: 21st October 2016

Posted on October 21, 2016October 31, 2016 By Rob
Seen Elsewhere

I thought I’d start a weekly round-up of good uses of R I’ve seen elsewhere.

We’ll start with four links this Friday:

  1. ComputerWorld’s R resources Cheat Sheet
  2. Longhow Lam’s use of scraping to show how cars lose value after you begin to rack up the miles
  3. Patrick Scott’s analysis of Donald Trump and Hillary Clinton’s choices of words in the presidential debates
  4. /r/rstats on Reddit

ComputerWorld cheat sheet

This cheat sheet has a huge list of resources to learn more about R. Some of them I knew of, some were new to me. It includes a link to the R course at DataCamp, which I reviewed here.

R resources for #Rstats enthusiasts at every skill level! Searchable chart at:https://t.co/oI1W6uSE3m

Added: RDocumentation and RWeekly pic.twitter.com/RTgEggWsTu

— Sharon Machlis (@sharon000) 19 October 2016


Scraping cars

This post used R to scrape data on car values from a Dutch website and aims to show which cars depreciate in value the fastest after you begin to add miles to the milometer. The best model came using a curve, which shows that after you have driven a car many thousands of miles it ceases to lose any more value.


Trump and Clinton

This textual analysis using R by my former colleague Patrick Scott shows that Donald Trump got angrier as the presidential debates wore on. He told me he used a number of packages including tidytext.


Rstats subreddit

This subreddit is a very useful online community for R tips, questions and thoughts. I post there a lot and it has been driving much of my traffic on this blog! It is an active subreddit: new posts and comments come in regularly.

Share this:

  • Click to share on X (Opens in new window) X
  • Click to share on Facebook (Opens in new window) Facebook

Related

Tags: Seen Elsewhere

Post navigation

❮ Previous Post: Review: DataCamp Introduction to R
Next Post: How Taking the Bus Is A London Thing ❯

Recent Posts

  • I’ve moved my blog over to Substack
  • How to plot a large rural area using Ordnance Survey data in R
  • Check the COVID-19 vaccination progress in your area
  • Let R tell you what to watch on Netflix
  • Sentiment analysis of Nineteen-Eighty-Four: how gloomy is George Orwell’s dystopian novel?

Archives

  • April 2022
  • April 2021
  • March 2021
  • February 2021
  • January 2021
  • December 2020
  • February 2020
  • December 2019
  • November 2019
  • October 2019
  • April 2018
  • March 2018
  • January 2018
  • December 2017
  • November 2017
  • October 2017
  • September 2017
  • August 2017
  • July 2017
  • May 2017
  • April 2017
  • March 2017
  • February 2017
  • January 2017
  • December 2016
  • November 2016
  • October 2016
  • September 2016

Categories

  • Geospatial data
  • Landmark Atlas
  • Learn
  • See
  • Seen Elsewhere
  • Site
  • Uncategorized

Copyright © 2025 R for Journalists.

Theme: Oceanly by ScriptsTown