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Data Wrangling with R

You're reading from  Data Wrangling with R

Product type Book
Published in Feb 2023
Publisher Packt
ISBN-13 9781803235400
Pages 384 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Gustavo R Santos Gustavo R Santos
Profile icon Gustavo R Santos

Table of Contents (21) Chapters

Preface 1. Part 1: Load and Explore Data
2. Chapter 1: Fundamentals of Data Wrangling 3. Chapter 2: Loading and Exploring Datasets 4. Chapter 3: Basic Data Visualization 5. Part 2: Data Wrangling
6. Chapter 4: Working with Strings 7. Chapter 5: Working with Numbers 8. Chapter 6: Working with Date and Time Objects 9. Chapter 7: Transformations with Base R 10. Chapter 8: Transformations with Tidyverse Libraries 11. Chapter 9: Exploratory Data Analysis 12. Part 3: Data Visualization
13. Chapter 10: Introduction to ggplot2 14. Chapter 11: Enhanced Visualizations with ggplot2 15. Chapter 12: Other Data Visualization Options 16. Part 4: Modeling
17. Chapter 13: Building a Model with R 18. Chapter 14: Build an Application with Shiny in R 19. Conclusion 20. Other Books You May Enjoy

Plotting graphics in Microsoft Power BI using R

Many business intelligence (BI) tools, such as Microsoft Power BI, have been developed and launched in the last few years. Microsoft’s tool appeared in 2014 and it currently accepts its own graphics and integrates with programming languages such as R and Python.

Working with BI tools is very practical. Most of what can be done in terms of visualization does not require coding; instead, you can just drag and drop variables to create graphics. However, like any other tool, there are pros and cons. For example, if we want to create a more customized graphic or add a type of graphic that is not available in Power BI, such as a histogram, we will have to adapt and look for an alternative to create that visualization. For that reason, we will learn how to plot a ggplot2 graphic in Power BI. It will give us the flexibility to make much more than the standard graphics provided by the BI tool.

Let’s see how to plot histograms...

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