Data cleaning and Exploratory Data Analysis on worlds layoff data from 2020 to 2023 In this project, I've performed various task like:
- Removing duplicates even when their was no unique column
- Standradizing Data (formating different formats of same records in a standard format)
- Check for nulls and empty space (filled empty data to it relevant data from comparing same type of records)
- Removed unnecessary rows and column for fast quering
- Changed Datatypes of columns
- EDA