Practical R For Mass Communication And Journalism

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Practical R For Mass Communication And Journalism

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Author : Sharon Machlis
language : en
Publisher: CRC Press
Release Date : 2018-12-21

Practical R For Mass Communication And Journalism written by Sharon Machlis and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-21 with Mathematics categories.

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.

Mobile And Social Media Journalism

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Author : Anthony Adornato
language : en
Publisher: CQ Press
Release Date : 2017-07-13

Mobile And Social Media Journalism written by Anthony Adornato and has been published by CQ Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-13 with Language Arts & Disciplines categories.

A Practical Guide for Multimedia Journalism Mobile and Social Media Journalism is the go-to guide for understanding how today’s journalists and news organizations use mobile and social media to gather news, distribute content, and create audience engagement. Checklists and practical activities in every chapter enable readers to immediately build the mobile and social media skills that today’s journalists need and news organizations expect. In addition to providing the fundamentals of mobile and social media journalism, award-winning communications professional and author Anthony Adornato discusses how mobile devices and social media have changed the way our audiences consume news and what that means for journalists. The book addresses a changing media landscape by emphasizing the application of the core values of journalism—such as authentication, verification, and credibility—to emerging media tools and strategies.

Ugc Net Mass Communication Journalism Solved Previous Year Pyq Solved Paper Book 2018 To 2024 With Detail Explanations Of Questions

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Author : DIWAKAR EDUCATION HUB
language : en
Publisher: DIWAKAR EDUCATION HUB
Release Date : 2025-04-21

Ugc Net Mass Communication Journalism Solved Previous Year Pyq Solved Paper Book 2018 To 2024 With Detail Explanations Of Questions written by DIWAKAR EDUCATION HUB and has been published by DIWAKAR EDUCATION HUB this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-21 with Antiques & Collectibles categories.

UGC NET Mass Communication & Journalism Solved Previous year [PYQ] Solved Paper Book 2018 to 2024 With Detail Explanations of Questions UGC NET Mass Communication & Journalism PYQ Book Year 2018 to 2024 Solved Previous year Paper All Questions with Detail Solution Answer Written by Expert Faculty

Geocomputation With R

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Author : Robin Lovelace
language : en
Publisher: CRC Press
Release Date : 2019-03-22

Geocomputation With R written by Robin Lovelace and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-22 with Mathematics categories.

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/. Dr. Robin Lovelace is a University Academic Fellow at the University of Leeds, where he has taught R for geographic research over many years, with a focus on transport systems. Dr. Jakub Nowosad is an Assistant Professor in the Department of Geoinformation at the Adam Mickiewicz University in Poznan, where his focus is on the analysis of large datasets to understand environmental processes. Dr. Jannes Muenchow is a Postdoctoral Researcher in the GIScience Department at the University of Jena, where he develops and teaches a range of geographic methods, with a focus on ecological modeling, statistical geocomputing, and predictive mapping. All three are active developers and work on a number of R packages, including stplanr, sabre, and RQGIS.

Analyzing Baseball Data With R Second Edition

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Author : Jim Albert
language : en
Publisher: CRC Press
Release Date : 2018-11-19

Analyzing Baseball Data With R Second Edition written by Jim Albert and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-19 with Mathematics categories.

Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available online. New to the second edition are a systematic adoption of the tidyverse and incorporation of Statcast player tracking data (made available by Baseball Savant). All code from the first edition has been revised according to the principles of the tidyverse. Tidyverse packages, including dplyr, ggplot2, tidyr, purrr, and broom are emphasized throughout the book. Two entirely new chapters are made possible by the availability of Statcast data: one explores the notion of catcher framing ability, and the other uses launch angle and exit velocity to estimate the probability of a home run. Through the book’s various examples, you will learn about modern sabermetrics and how to conduct your own baseball analyses. Max Marchi is a Baseball Analytics Analyst for the Cleveland Indians. He was a regular contributor to The Hardball Times and Baseball Prospectus websites and previously consulted for other MLB clubs. Jim Albert is a Distinguished University Professor of statistics at Bowling Green State University. He has authored or coauthored several books including Curve Ball and Visualizing Baseball and was the editor of the Journal of Quantitative Analysis of Sports. Ben Baumer is an assistant professor of statistical & data sciences at Smith College. Previously a statistical analyst for the New York Mets, he is a co-author of The Sabermetric Revolution and Modern Data Science with R.

Advanced R Second Edition

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Author : Hadley Wickham
language : en
Publisher: CRC Press
Release Date : 2019-05-24

Advanced R Second Edition written by Hadley Wickham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-24 with Mathematics categories.

Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language, and programmers experienced in other languages who want to understand what makes R different and special. This book will teach you the foundations of R; three fundamental programming paradigms (functional, object-oriented, and metaprogramming); and powerful techniques for debugging and optimising your code. By reading this book, you will learn: The difference between an object and its name, and why the distinction is important The important vector data structures, how they fit together, and how you can pull them apart using subsetting The fine details of functions and environments The condition system, which powers messages, warnings, and errors The powerful functional programming paradigm, which can replace many for loops The three most important OO systems: S3, S4, and R6 The tidy eval toolkit for metaprogramming, which allows you to manipulate code and control evaluation Effective debugging techniques that you can deploy, regardless of how your code is run How to find and remove performance bottlenecks The second edition is a comprehensive update: New foundational chapters: "Names and values," "Control flow," and "Conditions" comprehensive coverage of object oriented programming with chapters on S3, S4, R6, and how to choose between them Much deeper coverage of metaprogramming, including the new tidy evaluation framework use of new package like rlang (http://rlang.r-lib.org), which provides a clean interface to low-level operations, and purr (http://purrr.tidyverse.org/) for functional programming Use of color in code chunks and figures Hadley Wickham is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science. He is also the author of R for Data Science (with Garrett Grolemund), R Packages, and ggplot2: Elegant Graphics for Data Analysis.

Nta Net Mass Communication And Journalism Previous Papers For Ugc Net Jrf

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Author : Mocktime Publication
language : en
Publisher: by Mocktime Publication
Release Date :

Nta Net Mass Communication And Journalism Previous Papers For Ugc Net Jrf written by Mocktime Publication and has been published by by Mocktime Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on with Study Aids categories.

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Introduction To Political Analysis In R

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Author : H. Whitt Kilburn
language : en
Publisher: CRC Press
Release Date : 2025-08-15

Introduction To Political Analysis In R written by H. Whitt Kilburn and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-15 with Mathematics categories.

Introduction to Political Analysis in R is a comprehensive guide for students and researchers eager to delve into the intersection of data science, statistics, and political science. Aimed at equipping readers with the essential quantitative skills to analyze political data, the book bridges practical coding techniques in R with foundational statistical concepts, emphasizing real-world applications in politics. The text adopts a progressive structure, beginning with the basics of R and data manipulation before advancing to more complex topics such as data visualization, spatial analysis, text analysis, and modeling. Through accessible language and engaging examples—ranging from U.S. election forecasting to global development trends—it demystifies complex analytical methods. Each chapter integrates coding exercises and real-world datasets to reinforce learning, fostering independent data analysis skills. Designed for undergraduate political science majors, this book is also a valuable resource for anyone seeking to understand data-driven political analysis, whether for academic research, professional development, or personal curiosity. Key features include: Integrates data science and statistics with a political science focus, offering hands-on coding practice using the R programming language. Provides real-world datasets and step-by-step exercises, enabling students to directly apply concepts to political phenomena such as gerrymandering. Features a progressive chapter structure, progressing from foundational data handling to advanced methods like text analysis, spatial mapping, and linear modeling. Emphasizes accessible coding for beginners, fostering self-sufficiency in data analysis without requiring prior statistical expertise. Bridges theory and application with examples that engage students’ interest in politics while developing transferable analytical skills. H. Whitt Kilburn is Associate Professor of Political Science, Grand Valley State University, Allendale, Michigan.

A Dictionary Of Media And Communication

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Author : Daniel Chandler
language : en
Publisher: Oxford University Press, USA
Release Date : 2011-02-10

A Dictionary Of Media And Communication written by Daniel Chandler and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-10 with Business & Economics categories.

This new dictionary includes over 2,200 concise, accessible, and extensively cross-referenced entries for terms regularly encountered by students and professionals working within the diverse fields of media and communication studies, including advertising, digital culture, new media, telecommunications, and visual culture.

Statistical Computing With R Second Edition

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Author : Maria L. Rizzo
language : en
Publisher: CRC Press
Release Date : 2019-02-21

Statistical Computing With R Second Edition written by Maria L. Rizzo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-21 with Business & Economics categories.

Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. This second edition continues to encompass the traditional core material of computational statistics, with an