DATA_CLEANING_WITH_PYTHON

Problems in Raw Data:

1. Missing Data
2. Duplicate Value
3. Spelling Errors
4. Outliers(if the data points are beyond S.D. = 3, then it is called outliers)
5. Incorrect Data Type
6. Inconsistent Formatting

Steps involved in Data Cleaning

1. Data collection & Inspection
2. Handling missing data
3. Fixing inconsitent data
4. Handling duplicates
5. Correcting data types
6. Handling outliers