Welcome to the Coffee Shop Sales Dashboard! This project provides a comprehensive analysis of sales data from the famous coffee shop dataset allowing us to visualize key metrics and consumer patterns.
This dashboard leverages an insightful dataset containing the following features:
- Sales: Total revenue generated from each transaction 💰
- Transaction ID: Unique identifier for each transaction 🆔
- Order Date: Date when the order was placed 📅
- Product Category: Categories of products sold (e.g., beverages, pastries) 🍰
- Product Type: Specific types of products (e.g., espresso, latte) ☕
- Store Location: Different locations of our coffee shops 📍
- Quantity Sold: Number of units sold per transaction 📦
- Unit Price: Price per unit of the product 💵
This dashboard provides a variety of visualizations to explore:
- Sales by Store Location: Discover which locations are generating the most revenue! 🌍
- Sales by Product Category: Analyze which categories are the most popular among customers! 📊
- Sales by Product: Dive deeper into individual product performance to identify bestsellers! 🥇
This dashboard also explores consumer patterns, including:
- Most Popular Products: Find out which items are flying off the shelves! 🚀
- Quantity Sold Trends: Track how sales volume changes over time 📈
- Pricing Strategies: Evaluate how pricing impacts sales and customer preferences 💡
To get started with the Coffee Shop Sales Dashboard:
-
Clone the repository:
git clone https://github.com/brenden-ds/coffee-shop-sales-dashboard.git
-
Navigate to the project directory:
cd coffee-shop-sales-dashboard -
Install dependencies:
npm install
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Run the dashboard:
npm start
We welcome contributions! If you'd like to contribute, please fork the repository and submit a pull request.
Thank you for checking out the Coffee Shop Sales Dashboard! We hope it helps you gain valuable insights into our coffee shop's sales performance. Happy analyzing! ☕✨