About this document
Cleaning Dirty Data in R Programming by rithikaoct08 is a document available to read on EtoBox.
The document discusses dirty data in R programming, defining it as data that is incomplete, inconsistent, inaccurate, or improperly formatted, and outlines common issues such as missing values, duplicates, and outliers. It provides techniques for handling these issues, including removing or imputing missing values, identifying and removing duplicates, correcting data types, and detecting outliers using methods like boxplots and IQR. Examples of R code are included to illustrate the processes of cleaning dat
- Author
- rithikaoct08
- Language
- EN