https://github.com/NishuMehta/Coffee-Beans-Sales-Analysis
https://github.com/NishuMehta/Coffee-Beans-Sales-Analysis
dashboard data-analysis data-visualization excel
Last synced: 6 months ago
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- Host: GitHub
- URL: https://github.com/NishuMehta/Coffee-Beans-Sales-Analysis
- Owner: NishuMehta
- Created: 2025-01-12T09:37:42.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-18T08:51:41.000Z (over 1 year ago)
- Last Synced: 2025-01-26T22:27:54.301Z (about 1 year ago)
- Topics: dashboard, data-analysis, data-visualization, excel
- Homepage:
- Size: 1.23 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
☕ **Coffee Beans Sales Analysis - Excel Dashboard**
This project provides an in-depth analysis of coffee bean sales using an interactive **Excel dashboard**, which highlights trends and customer insights. It was created following a tutorial by **Mo Chen (YouTube)** and uses the **[Coffee Bean Sales Dataset](https://www.kaggle.com/datasets/saadharoon27/coffee-bean-sales-raw-dataset)** from Kaggle.
🗝️ Key Features
* **Sales Trend Analysis:** Displays total sales trends from **August 2019 to June 2020**, broken down by coffee bean types (Arabica, Robusta, Liberica, Excelsa).
* **Sales by Country:** Highlights revenue contributions from key regions: **United Kingdom, Ireland, and the United States**.
* **Customer Insights:** Identifies top 5 customers by sales amount.
* **Product Breakdown:** Analyzes coffee sizes (0.2 kg to 2.5 kg) and roast types (Light, Medium, Dark).
* **Loyalty Program Impact:** Displays sales comparison between loyalty card holders and non-holders.
🛠️ Tools and Excel Features Used
* **Pivot Tables:** Created dynamic summaries for sales trends, customer insights, and product preferences.
* **Slicers:** Interactive slicers for filtering data by coffee type, roast type, region, and loyalty card status.
* **Pivot Charts:** Used line charts for sales trends and bar charts for customer and country-wise sales.
* **Conditional Formatting:** Highlighted top sales figures and customer performance.
* **Excel Formulas:** Applied SUMIFS and AVERAGEIFS for sales calculations.
💡 Insights Gained
* **Sales Peak:** Highest sales occurred between **December 2019 and January 2020**.
* **Top Customers:** Highest spender was **Allis Wilmore**, with sales exceeding $238.
* **Region Performance:** The **United States** generated the highest revenue.
* **Product Preference:** **Robusta and Arabica** were the most popular coffee types.
* **Loyalty Impact:** Loyalty cardholders contributed more to sales.
💻 Usage Instructions
* **Open the Dashboard:** Use the provided `Coffee-Sales.xlsx` file.
* **Explore with Slicers:** Filter sales data by coffee type, region, customer, and roast type.
* **View Key Insights:** Analyze interactive charts for trends and top-performing customers.
📝 About the Project
* **Tool:** Microsoft Excel
* **Dataset:** [Coffee Bean Sales Dataset](https://www.kaggle.com/datasets/saadharoon27/coffee-bean-sales-raw-dataset) from Kaggle
**Tutorial Reference:** Dashboard guided by Mo Chen (YouTube)
**Skills Practiced:** Data Analysis, Visualization, Dashboard Creation