Wickham: Ggplot2

ggplot2: Elegant Graphics for Data Analysis (Repost)  eBooks & eLearning

Posted by AvaxGenius at Aug. 27, 2021
ggplot2: Elegant Graphics for Data Analysis (Repost)

ggplot2: Elegant Graphics for Data Analysis by Hadley Wickham
English | PDF (True) | 2016 | 266 Pages | ISBN : 331924275X | 24.6 MB

This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to:

ggplot2: Elegant Graphics for Data Analysis (Use R!) [Repost]  eBooks & eLearning

Posted by AlexGolova at Oct. 5, 2018
ggplot2: Elegant Graphics for Data Analysis (Use R!) [Repost]

ggplot2: Elegant Graphics for Data Analysis (Use R!) by Hadley Wickham
English | June 9, 2016 | ISBN: 331924275X | 260 pages | PDF | 9.05 MB

ggplot2: Elegant Graphics for Data Analysis (Use R!), 2nd Edition  eBooks & eLearning

Posted by First1 at Sept. 9, 2019
ggplot2: Elegant Graphics for Data Analysis (Use R!), 2nd Edition

ggplot2: Elegant Graphics for Data Analysis (Use R!), 2nd Edition by Hadley Wickham
English | June 8th, 2016 | ISBN: 331924275X | 268 pages | EPUB | 5.66 MB

This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease.

ggplot2: Elegant Graphics for Data Analysis  eBooks & eLearning

Posted by insetes at May 2, 2019
ggplot2: Elegant Graphics for Data Analysis

ggplot2: Elegant Graphics for Data Analysis By Hadley Wickham (auth.)
2009 | 213 Pages | ISBN: 0387981403 | PDF | 9 MB

Curso completo de R para Data Science con Tidyverse  eBooks & eLearning

Posted by Sigha at May 25, 2019
Curso completo de R para Data Science con Tidyverse

Curso completo de R para Data Science con Tidyverse
MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 22.7 GB
Duration: 35 hours | Genre: eLearning Video | Language: Español

Aprende a programar con R, R Studio y Tidyverse: Data Analytics, Data Science, Análisis Estadístico, ggplot2 y mucho más.

Pack Language (Langage) R  eBooks & eLearning

Posted by TimMa at June 1, 2019
Pack Language (Langage) R

Pack Language (Langage) R
English/Français | EPUB/MOBI/PDF | 101 books | 1.8 GB

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, data mining surveys, and studies of scholarly literature databases show substantial increases in popularity in recent years as of May 2019, R ranks 21st in the TIOBE index, a measure of popularity of programming languages. …

R Packages: Organize, Test, Document, and Share Your Code  eBooks & eLearning

Posted by AlenMiler at Feb. 12, 2019
R Packages: Organize, Test, Document, and Share Your Code

R Packages: Organize, Test, Document, and Share Your Code by Hadley Wickham
English | April 13, 2015 | ISBN: 1491910593 | 202 pages | AZW3 | 2.27 Mb

Quantitative Economics with R: A Data Science Approach  eBooks & eLearning

Posted by arundhati at Feb. 11, 2020
Quantitative Economics with R: A Data Science Approach

Vikram Dayal, "Quantitative Economics with R: A Data Science Approach"
English | ISBN: 9811520348 | 2020 | 326 pages | EPUB | 24 MB

Quantitative Economics with R: A Data Science Approach  eBooks & eLearning

Posted by AvaxGenius at Feb. 4, 2020
Quantitative Economics with R: A Data Science Approach

Quantitative Economics with R: A Data Science Approach by Vikram Dayal
English | PDF | 2020 | 323 Pages | ISBN : 9811520348 | 19.47 MB

This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham’s tidyverse package for different parts of the data analysis workflow. After a gentle introduction to R code, the reader’s R skills are gradually honed, with the help of “your turn” exercises.