Practical R for Mass Communication and Journalism

Practical R for Mass Communication and Journalism
Author :
Publisher : CRC Press
Total Pages : 261
Release :
ISBN-10 : 9781351751131
ISBN-13 : 1351751131
Rating : 4/5 (131 Downloads)

Book Synopsis Practical R for Mass Communication and Journalism by : Sharon Machlis

Download or read book Practical R for Mass Communication and Journalism written by Sharon Machlis and published by CRC Press. This book was released on 2018-12-21 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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