Delve into advanced data transformation techniques with R to manage and manipulate complex datasets. Learn to merge datasets, create advanced visualizations, and optimize data processing.
Overview
Syllabus
- Lesson 1: Merging Data Frames in R with dplyr
- Merging DataFrames in R: Left and Inner Join Demonstration
- Merging DataFrames in R: Ensuring Complete Data Integration
- Merging Book Data Frames in R
- Merging Data Frames with Inner Join in R
- Merging Data Frames with Left Join in R
- Lesson 2: Grouping and Analyzing Data Sets with R
- Grouping Data in R and Calculating Average Income
- Grouping Data and Calculating the Average in R
- Grouping and Summarizing City Data
- Lesson 3: Grouping and Filtering Data Frames in R
- Filtering Sales Data in R
- Filtering by Mean Quantity in Grouped Data
- Filtering Grouped Data in R
- Supermarket Sales Data Mastery
- Lesson 4: Sorting Data Frames in R: Mastering the Order Function
- Sorting Stocks by Price and Volume in R
- Sorting Basketball Player Stats in R
- Sorting Basketball Player Stats by Points and Assists
- Sorting Stock Data in a Data Frame in R
- Lesson 5: Binning Continuous Data into Categories with R
- Categorizing Ages with Binning in R
- Adjust Age Categorization with Enhanced Binning in R
- Age Group Categorization and Summary
- Age Group Categorization and Analysis in R
