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Hadley Wickham
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Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R 1st Edition

by Hadley Wickham (Author)
4.8 out of 5 stars 88 ratings
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Previous page
  1. ISBN-10
    1492047384
  2. ISBN-13
    978-1492047384
  3. Edition
    1st
  4. Publisher
    O'Reilly Media
  5. Publication date
    May 25, 2021
  6. Language
    English
  7. Dimensions
    7.01 x 1.01 x 9.17 inches
  8. Print length
    372 pages
  9. See all details
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Frequently bought together

  • Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R
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  • R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
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  • Advanced R, Second Edition (Chapman & Hall/CRC The R Series)
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From the brand

Previous page
  2. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
    Tidy Modeling with R: A Framework for Modeling in the Tidyverse
    R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
    Mastering Shiny: Build Interactive Apps, Reports, and Dashboards Powered by R

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  3. Oreilly

    Sharing the knowledge of experts

    O'Reilly's mission is to change the world by sharing the knowledge of innovators. For over 40 years, we've inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success.

    Our customers are hungry to build the innovations that propel the world forward. And we help them do just that.

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From the Publisher

People use Shiny to:

  • Create dashboards that track important high-level performance indicators while facilitating drill-down into metrics that need more investigation.
  • Replace hundreds of pages of PDFs with interactive apps that allow the user to jump to the exact slice of the results that they care about.
  • Communicate complex models to a nontechnical audience with informative visualizations and interactive sensitivity analysis.
  • Provide self-service data analysis for common workflows, replacing email requests with a Shiny app that allows people to upload their own data and perform standard analyses. You can make sophisticated R analyses available to users with no programming skills.
  • Create interactive demos for teaching statistics and data science concepts that allow learners to tweak inputs and observe the downstream effects of those changes in an analysis.

In short, Shiny gives you the ability to pass on some of your R superpowers to anyone who can use the web.

Who Should Read This Book?

This book is aimed at two main audiences. R users who are interested in learning about Shiny in order to turn their analyses into interactive web apps. To get the most out of this book, you should be comfortable using R to do data analysis and should have written at least a few functions.

Existing Shiny users who want to improve their knowledge of the theory underlying Shiny in order to write higher-quality apps faster and more easily. You should find this book particularly helpful if your apps are starting to get bigger and you’re starting to have problems managing the complexity.

R for Data Science
R for Data Science
See Also: Import, Tidy, Transform, Visualize, and Model Data

Editorial Reviews

About the Author

Hadley is Chief Scientist at RStudio, winner of the 2019 COPSS award, and a member of the R Foundation. He builds tools (both computational and cognitive) to make data science easier, faster, and more fun. His work includes packages for data science (like the tidyverse, which includes ggplot2, dplyr, and tidyr)and principled software development (e.g. roxygen2, testthat, and pkgdown). He is also a writer, educator, and speaker promoting the use of R for data science. Learn more on his website, http://hadley.nz

Product details

  • Publisher ‏ : ‎ O'Reilly Media; 1st edition (May 25, 2021)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 372 pages
  • ISBN-10 ‏ : ‎ 1492047384
  • ISBN-13 ‏ : ‎ 978-1492047384
  • Item Weight ‏ : ‎ 1.75 pounds
  • Dimensions ‏ : ‎ 7.01 x 1.01 x 9.17 inches
  • Customer Reviews:
    4.8 out of 5 stars 88 ratings

About the author

Follow authors to get new release updates, plus improved recommendations.

Hadley Wickham

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Full content visible, double tap to read brief content.

Hadley is Chief Scientist at RStudio and a member of the R Foundation. He builds tools (both computational and cognitive) that make data science easier, faster, and more fun. His work includes packages for data science (ggplot2, dplyr, tidyr), data ingest (readr, readxl, haven), and principled software development (roxygen2, testthat, devtools). He is also a writer, educator, and frequent speaker promoting the use of R for data science. Learn more on his homepage, http://hadley.nz.

Customer reviews

4.8 out of 5 stars
4.8 out of 5
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Top reviews from the United States

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5.0 out of 5 stars Well written book
Reviewed in the United States 🇺🇸 on January 10, 2023
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Olumide Michael Oyalola
5.0 out of 5 stars Lovely piece of writing!!!
Reviewed in the United States 🇺🇸 on March 14, 2022
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5.0 out of 5 stars Fantastic book: well written with excellent code examples
Reviewed in the United States 🇺🇸 on September 16, 2021
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Tiago Henrique da Silva Pires
5.0 out of 5 stars Awesome
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