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R Graphics Cookbook. Practical Recipes for Visualizing Data. 2nd Edition - Helion

R Graphics Cookbook. Practical Recipes for Visualizing Data. 2nd Edition
ebook
Autor: Winston Chang
ISBN: 978-14-919-7855-9
stron: 444, Format: ebook
Data wydania: 2018-10-25
Księgarnia: Helion

Cena książki: 211,65 zł (poprzednio: 246,10 zł)
Oszczędzasz: 14% (-34,45 zł)

Dodaj do koszyka R Graphics Cookbook. Practical Recipes for Visualizing Data. 2nd Edition

Osoby, które kupiÅ‚y tÄ™ książkÄ™, wybieraÅ‚y także »

This O’Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works.

Most of the recipes in this second edition use the updated version of the ggplot2 package, a powerful and flexible way to make graphs in R. You’ll also find expanded content about the visual design of graphics. If you have at least a basic understanding of the R language, you’re ready to get started with this easy-to-use reference.

  • Use R’s default graphics for quick exploration of data
  • Create a variety of bar graphs, line graphs, and scatter plots
  • Summarize data distributions with histograms, density curves, box plots, and more
  • Provide annotations to help viewers interpret data
  • Control the overall appearance of graphics
  • Explore options for using colors in plots
  • Create network graphs, heat maps, and 3D scatter plots
  • Get your data into shape using packages from the tidyverse

Dodaj do koszyka R Graphics Cookbook. Practical Recipes for Visualizing Data. 2nd Edition

 

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Dodaj do koszyka R Graphics Cookbook. Practical Recipes for Visualizing Data. 2nd Edition

Spis treści

R Graphics Cookbook. Practical Recipes for Visualizing Data. 2nd Edition eBook -- spis treści

  • Preface
    • Recipes
    • Software and Platform Notes
    • Conventions Used in This Book
    • OReilly Safari
    • How to Contact Us
    • Acknowledgments
  • 1. R Basics
    • 1.1. Installing a Package
    • 1.2. Loading a Package
    • 1.3. Upgrading Packages
    • 1.4. Loading a Delimited Text Data File
    • 1.5. Loading Data from an Excel File
    • 1.6. Loading Data from SPSS/SAS/Stata Files
    • 1.7. Chaining Functions Together with %>%, the Pipe Operator
  • 2. Quickly Exploring Data
    • 2.1. Creating a Scatter Plot
    • 2.2. Creating a Line Graph
    • 2.3. Creating a Bar Graph
    • 2.4. Creating a Histogram
    • 2.5. Creating a Box Plot
    • 2.6. Plotting a Function Curve
  • 3. Bar Graphs
    • 3.1. Making a Basic Bar Graph
    • 3.2. Grouping Bars Together
    • 3.3. Making a Bar Graph of Counts
    • 3.4. Using Colors in a Bar Graph
    • 3.5. Coloring Negative and Positive Bars Differently
    • 3.6. Adjusting Bar Width and Spacing
    • 3.7. Making a Stacked Bar Graph
    • 3.8. Making a Proportional Stacked Bar Graph
    • 3.9. Adding Labels to a Bar Graph
    • 3.10. Making a Cleveland Dot Plot
  • 4. Line Graphs
    • 4.1. Making a Basic Line Graph
    • 4.2. Adding Points to a Line Graph
    • 4.3. Making a Line Graph with Multiple Lines
    • 4.4. Changing the Appearance of Lines
    • 4.5. Changing the Appearance of Points
    • 4.6. Making a Graph with a Shaded Area
    • 4.7. Making a Stacked Area Graph
    • 4.8. Making a Proportional Stacked Area Graph
    • 4.9. Adding a Confidence Region
  • 5. Scatter Plots
    • 5.1. Making a Basic Scatter Plot
    • 5.2. Grouping Points Together Using Shapes or Colors
    • 5.3. Using Different Point Shapes
    • 5.4. Mapping a Continuous Variable to Color or Size
    • 5.5. Dealing with Overplotting
    • 5.6. Adding Fitted Regression Model Lines
    • 5.7. Adding Fitted Lines from an Existing Model
    • 5.8. Adding Fitted Lines from Multiple Existing Models
    • 5.9. Adding Annotations with Model Coefficients
    • 5.10. Adding Marginal Rugs to a Scatter Plot
    • 5.11. Labeling Points in a Scatter Plot
    • 5.12. Creating a Balloon Plot
    • 5.13. Making a Scatter Plot Matrix
  • 6. Summarized Data Distributions
    • 6.1. Making a Basic Histogram
    • 6.2. Making Multiple Histograms from Grouped Data
    • 6.3. Making a Density Curve
    • 6.4. Making Multiple Density Curves from Grouped Data
    • 6.5. Making a Frequency Polygon
    • 6.6. Making a Basic Box Plot
    • 6.7. Adding Notches to a Box Plot
    • 6.8. Adding Means to a Box Plot
    • 6.9. Making a Violin Plot
    • 6.10. Making a Dot Plot
    • 6.11. Making Multiple Dot Plots for Grouped Data
    • 6.12. Making a Density Plot of Two-Dimensional Data
  • 7. Annotations
    • 7.1. Adding Text Annotations
    • 7.2. Using Mathematical Expressions in Annotations
    • 7.3. Adding Lines
    • 7.4. Adding Line Segments and Arrows
    • 7.5. Adding a Shaded Rectangle
    • 7.6. Highlighting an Item
    • 7.7. Adding Error Bars
    • 7.8. Adding Annotations to Individual Facets
  • 8. Axes
    • 8.1. Swapping X- and Y-Axes
    • 8.2. Setting the Range of a Continuous Axis
    • 8.3. Reversing a Continuous Axis
    • 8.4. Changing the Order of Items on a Categorical Axis
    • 8.5. Setting the Scaling Ratio of the X- and Y-Axes
    • 8.6. Setting the Positions of Tick Marks
    • 8.7. Removing Tick Marks and Labels
    • 8.8. Changing the Text of Tick Labels
    • 8.9. Changing the Appearance of Tick Labels
    • 8.10. Changing the Text of Axis Labels
    • 8.11. Removing Axis Labels
    • 8.12. Changing the Appearance of Axis Labels
    • 8.13. Showing Lines Along the Axes
    • 8.14. Using a Logarithmic Axis
    • 8.15. Adding Ticks for a Logarithmic Axis
    • 8.16. Making a Circular Plot
    • 8.17. Using Dates on an Axis
    • 8.18. Using Relative Times on an Axis
  • 9. Controlling the Overall Appearance of Graphs
    • 9.1. Setting the Title of a Graph
    • 9.2. Changing the Appearance of Text
    • 9.3. Using Themes
    • 9.4. Changing the Appearance of Theme Elements
    • 9.5. Creating Your Own Themes
    • 9.6. Hiding Grid Lines
  • 10. Legends
    • 10.1. Removing the Legend
    • 10.2. Changing the Position of a Legend
    • 10.3. Changing the Order of Items in a Legend
    • 10.4. Reversing the Order of Items in a Legend
    • 10.5. Changing a Legend Title
    • 10.6. Changing the Appearance of a Legend Title
    • 10.7. Removing a Legend Title
    • 10.8. Changing the Labels in a Legend
    • 10.9. Changing the Appearance of Legend Labels
    • 10.10. Using Labels with Multiple Lines of Text
  • 11. Facets
    • 11.1. Splitting Data into Subplots with Facets
    • 11.2. Using Facets with Different Axes
    • 11.3. Changing the Text of Facet Labels
    • 11.4. Changing the Appearance of Facet Labels and Headers
  • 12. Using Colors in Plots
    • 12.1. Setting the Colors of Objects
    • 12.2. Representing Variables with Colors
    • 12.3. Using a Colorblind-Friendly Palette
    • 12.4. Using a Different Palette for a Discrete Variable
    • 12.5. Using a Manually Defined Palette for a Discrete Variable
    • 12.6. Using a Manually Defined Palette for a Continuous Variable
    • 12.7. Coloring a Shaded Region Based on Value
  • 13. Miscellaneous Graphs
    • 13.1. Making a Correlation Matrix
    • 13.2. Plotting a Function
    • 13.3. Shading a Subregion Under a Function Curve
    • 13.4. Creating a Network Graph
    • 13.5. Using Text Labels in a Network Graph
    • 13.6. Creating a Heat Map
    • 13.7. Creating a Three-Dimensional Scatter Plot
    • 13.8. Adding a Prediction Surface to a Three-Dimensional Plot
    • 13.9. Saving a Three-Dimensional Plot
    • 13.10. Animating a Three-Dimensional Plot
    • 13.11. Creating a Dendrogram
    • 13.12. Creating a Vector Field
    • 13.13. Creating a QQ Plot
    • 13.14. Creating a Graph of an Empirical Cumulative Distribution Function
    • 13.15. Creating a Mosaic Plot
    • 13.16. Creating a Pie Chart
    • 13.17. Creating a Map
    • 13.18. Creating a Choropleth Map
    • 13.19. Making a Map with a Clean Background
    • 13.20. Creating a Map from a Shapefile
  • 14. Output for Presentation
    • 14.1. Outputting to PDF Vector Files
    • 14.2. Outputting to SVG Vector Files
    • 14.3. Outputting to WMF Vector Files
    • 14.4. Editing a Vector Output File
    • 14.5. Outputting to Bitmap (PNG/TIFF) Files
    • 14.6. Using Fonts in PDF Files
    • 14.7. Using Fonts in Windows Bitmap or Screen Output
    • 14.8. Combining Several Plots into the Same Graphic
  • 15. Getting Your Data into Shape
    • 15.1. Creating a Data Frame
    • 15.2. Getting Information About a Data Structure
    • 15.3. Adding a Column to a Data Frame
    • 15.4. Deleting a Column from a Data Frame
    • 15.5. Renaming Columns in a Data Frame
    • 15.6. Reordering Columns in a Data Frame
    • 15.7. Getting a Subset of a Data Frame
    • 15.8. Changing the Order of Factor Levels
    • 15.9. Changing the Order of Factor Levels Based on Data Values
    • 15.10. Changing the Names of Factor Levels
    • 15.11. Removing Unused Levels from a Factor
    • 15.12. Changing the Names of Items in a Character Vector
    • 15.13. Recoding a Categorical Variable to Another Categorical Variable
    • 15.14. Recoding a Continuous Variable to a Categorical Variable
    • 15.15. Calculating New Columns from Existing Columns
    • 15.16. Calculating New Columns by Groups
    • 15.17. Summarizing Data by Groups
    • 15.18. Summarizing Data with Standard Errors and Confidence Intervals
    • 15.19. Converting Data from Wide to Long
    • 15.20. Converting Data from Long to Wide
    • 15.21. Converting a Time Series Object to Times and Values
  • A. Understanding ggplot2
    • Background
    • Some Terminology and Theory
    • Building a Simple Plot
    • Printing
    • Stats
    • Themes
    • End
  • Index

Dodaj do koszyka R Graphics Cookbook. Practical Recipes for Visualizing Data. 2nd Edition

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