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Practical R for Mass Communication and Journalism

Name: Practical R for Mass Communication and Journalism
Brand: Taylor & Francis Ltd
SKU: 19767551
Price: 262.75 EUR
Availability: InStock
Author: Machlis Garienberg
ISBN: 9781138386358

Machlis Garienberg

Sharon (IDG Communications

Inc.)

Jazyk

Angličtina

Kniha Pevná

Libristo kód: 19767551

Nakladateľstvo Taylor & Francis Ltd, december 2018

Do you want to use R to tell stories? This book was written for you—whether you already know some R... Celý popis

Libristo kód: 19767551

634 b

262.75 €

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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.