Practical R for Mass Communication and Journalism
Taylor & Francis

Practical R for Mass Communication and Journalism - Hardback

Edition: 1st Edition
Subjects: History, Humanities
ISBN13: 9781138386358
Published: 18 Dec 2018

Format - Hardback
By Sharon Machlis

The release of this order may delay up to 4-6 weeks due to congestion at publisher’s warehouse.

Regular price A$260.80
Sale price A$260.80 Regular price A$326.00

Practical R for Mass Communication and Journalism - Hardback

Regular price A$260.80
Sale price A$260.80 Regular price A$326.00
Product description

Do you want to use R to tell stories? This book was written for you—whether you already know some R or have never coded before.

Most R texts focus only on programming or statistical theory. Practical R for Mass Communication and Journalism gives you ideas, tools, and techniques for incorporating data and visualizations into your narratives.

You’ll see step by step how to:

  • Analyze airport flight delays, restaurant inspections, and election results

  • Map bank locations, median incomes, and new voting districts
  • Compare campaign contributions to final election results
  • Extract data from PDFs
  • Whip messy data into shape for analysis
  • Scrape data from a website
  • Create graphics ranging from simple, static charts to interactive visualizations for the Web

If you work or plan to work in a newsroom, government office, non-profit policy organization, or PR office, Practical R for Mass Communication and Journalism will help you use R in your world.

This book has a companion website with code, links to additional resources, and searchable tables by function and task.

Sharon Machlis is the author of Computerworld’s Beginner’s Guide to R, host of InfoWorld’s Do More With R video screencast series, admin for the R for Journalists Google Group, and is well known among Twitter users who follow the #rstats hashtag. She is Director of Editorial Data and Analytics at IDG Communications (parent company of Computerworld, InfoWorld, PC World and Macworld, among others) and a frequent speaker at data journalism and R conferences.

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