Instacart Basket Data - Alexis Facques

Data Mining & Visualisation (DMV) - Project Master Cloud Computing & Services - Université de Rennes 1

Exploring and mining basic information from an anonymised retail transactions dataset given by the company Instacart, mainly using TypeScript and NodeJS.

Mining frequent, sequential and discriminative patterns using the open-source data mining mining library SPMF

Results are presented through a runnable Jupyter Notebook.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

• Download and unzip the dataset files from Instacart's website; Smaller (for display purposes only) and custom files (preformatted datasets) are already provided.

• Clone this repo, build the docker image:

docker build --tag instacart .

• Run the image mounting the folder to the dataset files as such:

docker run -v <PATH TO YOUR FOLDER>:/usr/src/app/instacart_basket_data -p 9999:9999 instacart

• Jupyter Notebook Server is available on http//localhost:9999. Default password to the notebook is dmv. You may have to rerun the notebook in order to see the graphs (or at list, dependency loader + graph cells).

License

This project is licensed under the MIT License.