Practical R for Mass Communication and Journalism Practical R for Mass Communication and Journalism
Chapman & Hall/CRC The R Series

Practical R for Mass Communication and Journalism

    • ‏72٫99 US$
    • ‏72٫99 US$

وصف الناشر

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.

النوع
علم وطبيعة
تاريخ النشر
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٢١ ديسمبر
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
CRC Press
البائع
Taylor & Francis Group
الحجم
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‫م.ب.‬
Introduction to Data Science for Social and Policy Research Introduction to Data Science for Social and Policy Research
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Data Science Foundations Tools and Techniques Data Science Foundations Tools and Techniques
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Advanced Analytics in Power BI with R and Python Advanced Analytics in Power BI with R and Python
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Data Wrangling with R Data Wrangling with R
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R for Everyone R for Everyone
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Pro Data Visualization Using R and JavaScript Pro Data Visualization Using R and JavaScript
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Advanced R, Second Edition Advanced R, Second Edition
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Analyzing Baseball Data with R Analyzing Baseball Data with R
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Using R for Introductory Statistics Using R for Introductory Statistics
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Statistical Computing with R, Second Edition Statistical Computing with R, Second Edition
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Graphical Data Analysis with R Graphical Data Analysis with R
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R Markdown R Markdown
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