Introduction to Data Manipulation and Visualizations in R
summary
Hands-on RStudio session that reads a Kaggle CSV with 25 variables installs and attaches packages, and demonstrates actual code: reading CSV, setting working directory, using dplyr verbs: select filter arrange mutate group_by summarize with piping %>% to chain steps, creating a discounted column and computing mean quantity ordered (≈35.09) and most common deal size “Medium.” Visualization uses ggplot2 dot and bar charts with geom_point geom_bar geom_smooth and exports PNGs; all examples run live from the provided files and exercises.
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chapters (16)
- 0:00RStudio setup
- 1:11RStudio interface
- 8:41Basic operations and variables
- 12:59Vectors and data types
- 15:54Reading CSV data
- 20:19dplyr for data manipulation
- 23:52Selecting and arranging data
- 29:19Filtering data
- 35:31Mutating data and piping
- 38:23dplyr exercises
- 54:48Grouping and summarizing data
- 1:01:23ggplot2 introduction
- 1:06:06Building and customizing plots
- 1:10:30Advanced ggplot2 customizations
- 1:16:26Final chart exercises
- 1:20:22Q&A on tools
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