R for Data Science - Data Visualization (2) скачать в хорошем качестве

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. 📖 Get the Book - R for Data Science 📖 Purchase on Amazon: https://amzn.to/4jsjnOe (affiliate link) Free online: https://r4ds.hadley.nz 📺 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