Purpose of Data Cleaning
The following are the various purposes of data cleaning in R:
- Eliminate Errors
- Eliminate Redundancy
- Increase Data Reliability
- Delivery Accuracy
- Ensure Consistency
- Assure Completeness
- Standardize your approach
Data Cleaning in R
In this article, we will briefly be going through Data cleaning with its application and its technique for implementation in the R programming language.
Contact Us