Lesson Contents

• Introduction to Data Visualization
• Why Data Visualization is Important
• Introduction to the ggplot2 Package
• Understanding the Grammar of Graphics
• Installing and Loading ggplot2
• Structure of a ggplot
• Aesthetics (aes())
• Geometric Objects (geom_*)
• Working with Built-in Datasets
• Creating Your First ggplot
• Scatter Plots
• Line Charts
• Bar Charts
• Grouped and Stacked Bar Charts
• Histograms
• Density Plots
• Frequency Polygons
• Boxplots
• Violin Plots
• Dot Plots
• Jitter Plots
• Area Charts
• Pie Charts (using coord_polar())
• Bubble Charts
• Error Bar Plots
• Adding Titles and Subtitles
• Customizing Axis Labels
• Changing Colors and Fill
• Using Color Palettes
• Customizing Themes
• Modifying Legends
• Changing Fonts and Text Size
• Customizing Axis Ticks and Grid Lines
• Adding Annotations and Text Labels
• Adding Reference Lines (geom_hline(), geom_vline(), geom_abline())
• Faceting (facet_wrap() and facet_grid())
• Saving Plots in Different Formats (PNG, PDF, TIFF, JPEG)
• Creating Publication-Quality Figures
• Best Practices for Effective Data Visualization
• Common Mistakes to Avoid
• Practical Examples Using Real Datasets
• Hands-on Exercises
• Chapter Summary
• Practice Questions
• Assignment