SQL_Data_cleaning_EDA

Data cleaning and Exploratory Data Analysis on worlds layoff data from 2020 to 2023 In this project, I've performed various task like:

1. Removing duplicates even when their was no unique column
2. Standradizing Data (formating different formats of same records in a standard format)
3. Check for nulls and empty space (filled empty data to it relevant data from comparing same type of records)
4. Removed unnecessary rows and column for fast quering
5. Changed Datatypes of columns
6. EDA