Book 5

Performing Statistical Data Analysis & Visualization with R Programming

Contents at a Glance

  1. Chapter 1: Using Open Source R for Data Science
    1. Downloading Open Source R
    2. Comprehending R’s Basic Vocabulary
    3. Delving into Functions and Operators
    4. Iterating in R
    5. Observing How Objects Work
    6. Sorting Out R’s Popular Statistical Analysis Packages
    7. Examining Packages for Visualizing, Mapping, and Graphing in R
  2. Chapter 2: R: What It Does and How It Does It
    1. The Statistical (and Related) Ideas You Just Have to Know
    2. Getting R
    3. Getting RStudio
    4. A Session with R
    5. R Functions
    6. User-Defined Functions
    7. Comments
    8. R Structures
    9. for Loops and if Statements
  3. Chapter 3: Getting Graphical
    1. Finding Patterns
    2. Doing the Basics: Base R Graphics, That Is
  4. Chapter 4: Kicking It Up a Notch to ggplot2
    1. Histograms
    2. Bar Plots
    3. Dot Charts
    4. Bar Plots Re-revisited
    5. Scatter Plots
    6. Scatter Plot Matrix
    7. Box Plots

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