https://github.com/okwilkins/retailanalysis

A comprehensive exploratory analysis and implementation of kmeans/hierarchical clustering on online retail data.
https://github.com/okwilkins/retailanalysis

data-analysis data-science machine-learning statistics

Last synced: 25 days ago
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A comprehensive exploratory analysis and implementation of kmeans/hierarchical clustering on online retail data.

• Host: GitHub
• URL: https://github.com/okwilkins/retailanalysis
• Owner: okwilkins
• Created: 2020-07-29T17:26:22.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-07-30T15:41:59.000Z (over 4 years ago)
• Last Synced: 2024-12-06T22:36:27.801Z (2 months ago)
• Topics: data-analysis, data-science, machine-learning, statistics
• Language: Jupyter Notebook
• Homepage:
• Size: 14.5 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Retail Analysis

This project is for a technical test for Laing O'Rourke.

The analysis is based off the dataset [here](http://archive.ics.uci.edu/ml/datasets/Online+Retail#).

## Installation

Make sure you are running Python 3.6 and above.

Clone the repository with the following command and cd into the directory: 

```bash

git clone https://github.com/HomelessSandwich/RetailAnalysis.git

cd RetailAnalysis

```

Use the package manager [pip](https://pip.pypa.io/en/stable/).

It is recommended that you upgrade all relevant packages to their latest version for all visualisations to work.

```bash

pip install --user --upgrade -r requirements.txt

pip install jupyterlab

```

## Usage

In order to run the Jupyter Notebook file, run the following command and open `Online Retail EDA & Modelling.ipynb`.

```bash

jupyter lab

```

If the above command does not work, try one of the following:

```bash

jupyter-lab

```

```bash

jupyter notebook

```