# Python Data Explorer

## Project goal

Explain what this project explores and why inspecting data is important before building an Ai model.

## Dataset

- Source: Ai Panthiya sample customer dataset
- Rows:
- Columns:
- Important fields:

## Work completed

- Loaded the CSV file with pandas
- Inspected rows, columns and data types
- Checked missing values and duplicate rows
- Cleaned the dataset
- Calculated summary statistics
- Filtered and grouped the data
- Created a chart

## Three important findings

1.
2.
3.

## Responsible data decisions

Explain how you protected personal information, handled missing values and avoided unsupported assumptions.

## How to run

```bash
pip install -r requirements.txt
python data-explorer.py
```

## Final outputs

- Cleaned dataset:
- Data summary:
- Chart: