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Introduction to Data Analysis and Visualization with R
Getting Started
Common R Packages for Data Analysis
Ready-to-Use Datasets in R
File Management
Read and Load Data in R
Save Data in Files in R
Data Structures
Data Types in R
Strings in R
Vectors in R
Lists in R
Matrices in R
Factors in R
Data Cleaning
Data Frames in R
Modify Data Frames Using R
Explore Data Using R
Delete and Add Data Using R
Select and Filter Data Using R
Sort and Shuffle Data Using R
Change Data Types Using R
Mutate Data Using R
Statistical Analysis
Descriptive Statistics in R
Data Distribution in R
Inferential Statistics in R
Hypothesis Testing in R
Confidence Interval in R
Student's T-test in R
Chi-Squared Test in R
Correlation Tests in R
Normality Test in R
Regression Analysis in R
Data Transformation
Data Aggregation in R
Crosstabs and Pivot Tables in R
Dealing With Missing Values in R
Normalization and Data Scaling in R
Dealing With Outliers in R
Encode Categorical Data Using R
Data Visualization
Introduction to Chart Functions in R
Introduction to the ggplot2 Library in R
Deciding on the Plot Type in R
Line Plots in R
Bar Plots in R
Pie Charts in R
Scatter Plots in R
Box Plots in R
Histograms in R
Density Plots in R
Area Plots in R
Combining Plots in R
Subplots in R
Saving Plots in R
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