Coder Social home page Coder Social logo

market-basket-analysis-instacart's Introduction

Market-Basket-Analysis-Instacart

This project implements a dashboard using R Shiny Dashboard Library. The dasboard represents a market basket analysis of Instacart. It allows the user to specify the data source that will be used to produce Descriptive and Prescriptive Data Analytics. The prescriptive data analytics implements an Apriori Algorithm with the flexibility of changing the algorithm parameters through the dashboard.

Getting Started

  • To clone (download the repository), open Git Bash (for Windows users), terminal for Linux/Mac users and run the following commands:
$ cd DIRECTORY
example:
$ cd Desktop
$ git clone https://github.com/Hera94/Market-Basket-Analysis-Instacart

Prerequisites

User Manual

Use the sidebar through the different tabs of the dashboard

  • Upload Tables - this tab is used to define the folder(directory) where all the data files are found. please choose the folder "instacart-market-basket-analysis".
  • Tables - this tab helps to take a glance at the data of each dataset.
  • Descriptive Data Analytics- this tab has four subtabs representing descriptive graphs of the dataset.
  • Prescriptive Data Analytics- this tab implements a Market Basket Analysis. The Apriori algorithm is made interactive as the user has controls to change the parameters of the algorithm. Also, the user can choose if he wants to do the Apriori per product, per Aisle, or per Department. The user will see the marketing insights, Association rule scatterplots, association rule graph and association rules.

Tips

  • Check Screenshots.pdf for screenshots of the dashboard
  • if the libraries used are not installed, uncomment the code for installing those packages.
  • It is recommended to set the default browser to Google Chrome and once you run the app, click on "Open in Browser".

References

The dataset was taken from Kaggle posted by Instacart: https://www.kaggle.com/c/instacart-market-basket-analysis/data

market-basket-analysis-instacart's People

Contributors

hera94 avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar

market-basket-analysis-instacart's Issues

good day Author, based on the git clone results, there are some errors due to limited LFS bandwidth

During cloning the project, the git clone message revealed that This repository is over its data quota, and the author should purchase more data packs to allow us who clone your project to restore access. I understand it is not necessary for you to purchase more data packs for us. But May I know, rather than the solution above, are there any methods to retrieved the locked LFS files in the csv? Such as attaching the copy of zip folders of those csv files in your repo? Hope to hear from you soon. By the way, I'm doing this because I refer this repo to do my university project. Lots of thanks in advance.

Upload tables not responding

I have installed all the packages and while I have executed and clicked on Upload Tables>Chosse Folder and select the folder with the CSV file, there is no response for the server. It's still saying uploading tables.

Note: I can see the aisles.csv in the Content tab

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.