Easy R : Access, Prepare, Visualize, Explore Data, and Write Papers
Language: English
Published by SAGE Publications Inc, 2020
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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nach der Bestellung gedruckt Neuware - Printed after ordering - Do you want to learn R This book is built on the premise that anyone with a bit of free time and a healthy curiosity can learn to use R in their studies or at work. The authors focus on using R to do useful things like writing reports, creating data and graphs, accessing datasets collected by others, preparing data, and conducting simple data analysis. In this book you ll learn how to: install R and RStudio®, and set up an RStudio® project and folders; write an essay with graphs based on simple real-world data using R Markdown; create variables from everyday numeric information and visualize data through five types of charts bar plot, histogram, pie chart, scatter plot, and time series line plot to identify patterns in the data; write and run R programs, and prepare your data following the tidyverse approach; import external datasets into R, install R data packages, and carry out initial data validity checks; conduct exploratory data analysis through three exercises involving data on voting outcomes, natural resource consumption, and gross domestic product (GDP) via data visualization, correlation coefficient, and simple regression; and write a research paper on the impact of GDP per capita on life expectancy using R Markdown. Student-friendly language and examples (such as binge-watched shows on Netflix, and the top 5 songs on Spotify), cumulative learning, and practice exercises make this a must-have guide for a variety of courses where data are used and reports need to be written. Code and datasets used to carry out the examples in the book are available on an accompanying website.…
Seller Inventory # 9781544379418
- Title
- Easy R : Access, Prepare, Visualize, Explore Data, and Write Papers
- Author
- Douglas R. Wise
- Publisher
- SAGE Publications Inc
- Publication year
- 2020
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1544379412
- ISBN 13
- 9781544379418
- Item weight
- 362 grams
- Dimensions
- 232x185x14 mm
Do you want to learn R? This book is built on the premise that anyone with a bit of free time and a healthy curiosity can learn to use R in their studies or at work. The authors focus on using R to do useful things like writing reports, creating data and graphs, accessing datasets collected by others, preparing data, and conducting simple data analysis.
In this book you’ll learn how to: install R and RStudio®, and set up an RStudio® project and folders; write an essay with graphs based on simple real-world data using R Markdown; create variables from everyday numeric information and visualize data through five types of charts―bar plot, histogram, pie chart, scatter plot, and time series line plot―to identify patterns in the data; write and run R programs, and prepare your data following the tidyverse approach; import external datasets into R, install R data packages, and carry out initial data validity checks; conduct exploratory data analysis through three exercises involving data on voting outcomes, natural resource consumption, and gross domestic product (GDP) via data visualization, correlation coefficient, and simple regression; and write a research paper on the impact of GDP per capita on life expectancy using R Markdown.
Student-friendly language and examples (such as binge-watched shows on Netflix, and the top 5 songs on Spotify), cumulative learning, and practice exercises make this a must-have guide for a variety of courses where data are used and reports need to be written.
Code and datasets used to carry out the examples in the book are available on an accompanying website."Synopsis" may belong to another edition of this title.
About the Author
and a minor in Cybersecurity―a year early. She then went on to graduate school at Southern Methodist
University, from which she graduated with a Master of Science in Business Analytics in 2019. While she
had previously helped to edit the book, “Using R for Data Analysis in Social Sciences”, this will be her first
authored publication. Aside from her love of data science, she enjoys travelling, learning new languages,
white water rafting, and the joy of finding great new rib places. She currently lives and works in Washington,
D.C. as a data science consultant.
Dr. Quan Li is Professor of Political Science and Cornerstone Faculty Fellow at Texas A&M University and
a Fulbright U.S. Senior Scholar in Spain during the 2019-2020 academic year. His research on economic
globalization, democratic governance, political violence, and environmental degradation has appeared in
various journals in international relations, international business, political science, and public policy. He
coauthored Democracy and Economic Openness in an Interconnected System: Complex Transformations
(Cambridge University Press, 2009) and Politics and Foreign Direct Investment (University of Michigan Press,
2012). He is also the author of Using R for Data Analysis in Social Sciences: A Research Project-Oriented
Approach (Oxford University Press, 2018). Dr. Li has served on the editorial boards of American Journal of
Political Science, Journal of Politics, International Studies Quarterly, and International Interactions. He
is the co-recipient of the 2003 Best Article on Democratization Award from the American Political Science
Association.
Douglas Wise is a Solution Engineer at a Silicon Valley based technology company where he specializes
in helping organizations transform their digital customer experiences. Douglas previously served as an
intelligence analyst in the United States Air Force. Douglas was also a member of the Air Force Honor Guard
and is an Afghanistan war veteran. Douglas received his Bachelor of Science in Political Science from Texas
A&M University and currently resides in Santa Clara, California with his family.
"About the title" may belong to another edition of this title.
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