https://github.com/noorulhudaajmal/superstore-data-analysis

Detailed data analysis of US supermarket data
https://github.com/noorulhudaajmal/superstore-data-analysis

Last synced: 8 days ago
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Detailed data analysis of US supermarket data

• Host: GitHub
• URL: https://github.com/noorulhudaajmal/superstore-data-analysis
• Owner: noorulhudaajmal
• Created: 2024-08-20T17:08:11.000Z (4 months ago)
• Default Branch: master
• Last Pushed: 2024-08-20T17:09:59.000Z (4 months ago)
• Last Synced: 2024-08-20T19:32:29.100Z (4 months ago)
• Language: Python
• Size: 493 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

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README

        
# Superstore Dashboard

## Overview

The Superstore Dashboard is an interactive web application built using Plotly Dash. It provides insights based on the Superstore dataset, allowing users to explore sales, profit, customer segments, and more.

## Features

- **Overview Tab:** Display general analysis of the data.

- **Sales by Geography Tab:** Visualizes sales data by geographic segments.

- **Customer Segment Analysis Tab:** Analyzes data related to different customer segments.

- **Product Performance Tab:** Evaluates the performance of various products.

- **Financial Analysis Tab:** Provides financial insights and analyses.

## Installation

1. Clone the repository and land in project directory.

2. Install the necessary libraries using pip:

```bash

pip install -r requirements.txt

```

## Usage

1. **Prepare the Dataset:** Ensure that the dataset `Superstore Dataset.csv` is available in the `data` directory.

2. **Run the App:** Execute the script to start the Dash server.

```bash

python app.py

```

3. **Access the Dashboard:** Open your web browser and navigate to `http://127.0.0.1:8050/` to view the dashboard.

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