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Data Wrangling with R

You're reading from   Data Wrangling with R Load, explore, transform and visualize data for modeling with tidyverse libraries

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781803235400
Length 384 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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Gustavo Santos Gustavo Santos
Author Profile Icon Gustavo Santos
Gustavo Santos
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Load and Explore Data
2. Chapter 1: Fundamentals of Data Wrangling FREE CHAPTER 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

Facet grids

Facet grids create a figure in the form of a matrix of rows and columns to plot multiple graphics side by side. Those graphics are subplots of one or more variables, facilitating the visualization of the relationship of a variable with others separately. In summary, facet grids show small plots representing a subgroup of the data.

We can see what a facet grid looks like using the diamonds dataset, which is built into ggplot2 (type ?diamonds into R’s console for the documentation). This data has the cuts, dimensions, colors, prices, and other attributes of 54,000 diamonds. If we want to see a scatterplot of the prices by carat, the graphic will look busy, as we can see in Figure 11.1. Notice that it is difficult to see the trends and relationships for each cut type, such as Fair or Good. They will be hidden under other points. What we see is the general trend and relationship for the entire dataset.

Figure 11.1 – Scatterplot of...

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