simulated-ecommerce-eda

A learn-by-doing mini-project with understanding how discounts, tariff taxes and pricing affect on the total sales and revenue in a simulated ecommerce environment.

📌 Goals

• Simulate (roughly) realistic e-commerce datasets
• Analyze sales and consumers behaviour
• Interpretation of tariff effects on products

Libraries used:

Numpy, Pandas, Matplotlib (Python)

🛠️ Further refinements

• Price elasticity of demand
• Enhanced randomness through Probability distributions (Poisson, Binomal,...)
• Odd cases such policy and regulation are accountable
• Since this is EDA-groundwork, no major features will be added.

🧠 How to use

To run this notebook, it is advisable to download Anaconda on Windows

1. Install Anaconda
2. Clone this repository:

git clone https://github.com/cresht2606/simulated-ecommerce-eda
cd simulated-ecommerce-eda

3. Create the environment:

conda env create -f environment.yml

4. Activate the environment:

conda activate your-env-name

5. Launch Jupyter Notebook:

jupyter notebook

📋 Notes

• All of statistics, figures are generated through random functions and served for educational purpose only.