R for Data Science - Data Visualization (2)

Learn the basics of creating data visualizations with ggplot2. Includes examples of bar charts, histograms, box plots, and density plots. Covers ggplot2 fundamentals such as mappings, aesthetics, layers, labels, and facet wrapping. Learn to visualize distributions and relationships for both categorical and numerical variables.

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📺 Series Playlist 📺
   • R for Data Science - Walk-through  

✅ Solutions to Exercises
https://mine-cetinkaya-rundel.github....

🕥 CHAPTERS 🕥
00:00 Introduction
01:18 Package setup
02:34 Penguins data frame
06:00 Accessing documentation
07:17 First scatter plot
11:00 NA values
11:51 Mapping variable to color
12:44 Linear regression line
14:16 Multi-line commands
15:16 Add color blind friendly shapes
15:45 Customize labels
16:44 Check in and revisiting documentation
18:01 Exercises
18:25 ggplot2 calls and omitting argument names
20:16 Categorical variable bar chart
21:26 Numerical variable histogram
22:33 Numerical variable density plot
22:49 Numerical and categorical variable - box plot and density plot
24:39 Two categorical variables - stacked bar chart
26:23 Two numerical variables - scatter plot
26:51 Three or more variables - subplots via facets
28:42 Plot wrap-up
29:02 Saving your plots
31:16 Common problems
33:37 Summary