Master the art of cleaning data using tidyr as part of the tidyverse ecosystem. Focus on techniques for dealing with missing values, reshaping data, and preparing datasets for analysis.
Overview
Syllabus
- Lesson 1: Identifying and Handling Missing Values in R Data Cleaning Process
- Lesson 2: Data Cleaning Techniques: Managing Duplicates and Outliers in R
- Lesson 3: Data Normalization Techniques in R
- Lesson 4: Categorical Data Encoding in R
