Apollo - Synthetic Data Generator

Apollo is a Python GUI application designed to simplify the complex process of generating random data based on fixed values. It allows users to generate various types of binary datasets, such as Yes/No type questions, by specifying probabilities. For example, if you want to generate data for "users that use our app daily" with a probability of 0.6, Apollo will ensure that 60% of the generated data reflects daily usage, while 40% does not. Additionally, you can create weighted options where multiple choices can be assigned different probabilities.

Use Cases

Apollo can be utilized in various scenarios, including but not limited to:

• Market Research: Generate realistic survey data with custom probabilities for responses.
• Software Testing: Create test datasets for applications that require diverse input scenarios.
• Machine Learning: Produce synthetic datasets for training models, especially when real data is scarce or privacy is a concern.
• Education: Teach students about data generation and probabilistic distributions in a practical, hands-on manner.

Installation

To get started with Apollo, you can either use the setup provided or manually install the required libraries and run the script.

Using the Provided Setup

1. Download and run the setup file: Setup Link
2. Run the batch file: This will automatically install all the necessary libraries for you.

Manual Installation

If you prefer to manually install the dependencies and run the script, follow these steps:

1. Install the required libraries:

   pip install tkinter faker pandas

2. Clone the repository and run the script:

   git clone https://github.com/yourusername/apollo-synthetic-data-generator.git
   cd apollo-synthetic-data-generator
   python main.py

Alternatively, you can run the provided batch file to install the necessary libraries:

run.bat

Libraries Required

Ensure you have the following Python libraries installed:

from tkinter import ttk, messagebox, filedialog, simpledialog
from faker import Faker
import random
import pandas as pd

Usage

Once installed, simply run the application. The user-friendly GUI will guide you through the process of generating synthetic data based on your specified probabilities and options.

Thank You

Thank you for using Apollo! I hope it simplifies your data generation needs. If you have any questions or feedback, please feel free to reach out.