FakerGenerateData

Python Faker Package Create Random DataSet

Fake Datasets with Python Faker Library

This project demonstrates the generation of fake datasets using the Python Faker library. It includes three different types of datasets: employee records, car park, and invoice. The datasets are entirely fictional and are intended for demonstration and testing purposes only.

Datasets

1. Employee Records Dataset
2. Car Park Dataset
3. Invoice Dataset

Python Scripts

1. employee_records.py - Generates the employee records dataset.
2. car_park.py - Generates the car park dataset.
3. invoice.py - Generates the invoice dataset.

Sample Dataset Outputs (CSV format)

1. employee_records_sample.csv - A sample employee records dataset output.
2. car_park_sample.csv - A sample car park dataset output.
3. invoice_sample.csv - A sample invoice dataset output.

Usage

1. Install the required Python libraries using pip:

pip install Faker

2. Run the desired script to generate a dataset:

python employee_records.py python car_park.py python invoice.py

3. The output datasets will be saved in the current working directory as CSV files.

Note

These datasets are entirely fictional and should not be used for any decision-making or analysis. They are suitable for demonstration, testing, or educational purposes only.