Isbn: 9781544379418 - easy r: access, prepare, visualize, explore data, and write papers (24 resultados)

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Paperback. Condición: New. 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.…

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Paperback. Condición: new. Paperback. After a first chapter on installing the software and project setup, in the second chapter the authors shows how to write an essay using R Markdown, rewarding readers with an immediate tangible result, and taking the fear out of working with a new software. Student-friendly language and examples (e.g. binge-watched shows on Netflix, top 5 songs on Spotify), cumulative learning and repetition across chapters, and practice exercises make this a must-have guide for a variety of courses where data is used and reports need to be written (including, but not limited to intro statistics and research methods). Code and datasets used to carry out the examples in the book are available on an accompanying website. Built on the premise that anyone can learn to use the R software, this book emphasizes using R to do useful things like writing papers and reports, creating graphs, and conducting simple data analysis. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

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Kartoniert / Broschiert. Condición: New. Built on the premise that anyone can learn to use the R software, this book emphasizes using R to do useful things like writing papers and reports, creating graphs, and conducting simple data analysis.Built on the premise that anyone can learn to use th.

Taschenbuch. Condición: Neu. Easy R | Access, Prepare, Visualize, Explore Data, and Write Papers | Douglas R. Wise (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | SAGE Publications Inc | EAN 9781544379418 | Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu. …

Paperback. Condición: new. Paperback. After a first chapter on installing the software and project setup, in the second chapter the authors shows how to write an essay using R Markdown, rewarding readers with an immediate tangible result, and taking the fear out of working with a new software. Student-friendly language and examples (e.g. binge-watched shows on Netflix, top 5 songs on Spotify), cumulative learning and repetition across chapters, and practice exercises make this a must-have guide for a variety of courses where data is used and reports need to be written (including, but not limited to intro statistics and research methods). Code and datasets used to carry out the examples in the book are available on an accompanying website. Built on the premise that anyone can learn to use the R software, this book emphasizes using R to do useful things like writing papers and reports, creating graphs, and conducting simple data analysis. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

Paperback. Condición: New. 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.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 192 pp. Englisch.…

Taschenbuch. Condición: Neu. 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.…