README.md

#Data Cleaning Repository!

Each folder contains:

• Raw Data: Stored in .xlsx file;
• Data Cleaning: Utilizes Python scripts to clean the data.
• Cleaned Data: Outputs are converted to .csv file.

Repository Structure

• Raw Data: Contains the original, unprocessed Excel files (.xlsx).

  • Example: sales_data_2023.xlsx

• scripts/: Python scripts used for data cleaning.

  • Example: dataclean1.py

• clean_data/: Cleaned data saved as CSV files after processing.

  • Example: data_cleaned1.csv

Dependencies

• Python 3.x
• pandas
• openpyxl (for reading Excel files)

Please install these dependencies using pip:

pip install pandas openpyxl