Pro data visualization using R and JavaScript
Material type: TextPublication details: Apress New York 2022Description: xv, 274 pISBN:- 9781484285589
- 001.4226 BAR
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Book | Indian Institute of Management LRC General Stacks | IT & Decisions Sciences | 001.4226 BAR (Browse shelf(Opens below)) | 1 | Available | 003725 |
Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: IT & Decisions Sciences Close shelf browser (Hides shelf browser)
001.422 HOX Multilevel analysis: techniques and applications | 001.422028563 LIE Data analytics and AI | 001.4226 ACH Mastering data visualization using tableau | 001.4226 BAR Pro data visualization using R and JavaScript | 001.4226 BRA Visualizing with text | 001.4226 BRO Statistics and data visualization using R: the art and practice of data analysis | 001.4226 CAM Data visualization: exploring and explaining with data |
About this book
Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and implementation of each type of chart, so as to be able to represent the results visually.
With the popularity of the R language, the art and practice of creating data visualizations is no longer the preserve of mathematicians, statisticians, or cartographers. As technology leaders, we can gather metrics around what we do and use data visualizations to communicate that information. Pro Data Visualization Using R and JavaScript combines the power of the R language with the simplicity and familiarity of JavaScript to display clear and informative data visualizations.
Gathering and analyzing empirical data is the key to truly understanding anything. We can track operational metrics to quantify the health of our products in production. We can track quality metrics of our projects, and even use our data to identify bad code. Visualizing this data allows anyone to read our analysis and easily get a deep understanding of the story the data tells. This book makes the R language approachable, and promotes the idea of data gathering and analysis mostly using web interfaces.
There are no comments on this title.