Data Cleaning & Reporting Automation

Automated Data Preprocessing, Analysis & Reporting Dashboard

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

โ‚น0

Average Sales

โ‚น0

Cleaning Status

Dataset is ready for cleaning.

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

1

Missing Values

Missing numerical values are replaced using the average value of the column.

2

Duplicates

Duplicate records are automatically identified and removed.

3

Consistency

City names and text values are standardized.

4

Reporting

Cleaned data is analyzed and presented using charts and KPIs.