Project Overview
This project demonstrates an automated data cleaning and reporting workflow. The system identifies missing values, duplicate records and inconsistent data, cleans the dataset and generates visual reports automatically.
Original Records
0
Cleaned Records
0
Missing Values
0
Duplicates
0
Total Sales
โน0
Average Sales
โน0
Cleaning Status
Sales by City
Monthly Sales
Data Quality Analysis
Original Dataset
| Customer ID | Customer Name | Age | City | Sales | Date |
|---|
Cleaned Dataset
| Customer ID | Customer Name | Age | City | Sales | Date |
|---|
Automated Cleaning Process
Missing Values
Missing numerical values are replaced using the average value of the column.
Duplicates
Duplicate records are automatically identified and removed.
Consistency
City names and text values are standardized.
Reporting
Cleaned data is analyzed and presented using charts and KPIs.