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https://github.com/hasinii12/-chocolate-analysis-dashboard

This Power BI report provides a comprehensive analysis of chocolate ratings and related attributes.
https://github.com/hasinii12/-chocolate-analysis-dashboard

data-analysis data-visualization powerbi

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This Power BI report provides a comprehensive analysis of chocolate ratings and related attributes.

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README

          

# 🍫 Chocolate Sales Analysis Dashboard (Power BI)

This repository contains an interactive Power BI dashboard that presents in-depth insights into chocolate sales performance. It covers sales trends, product popularity, regional contributions, and performance of sales personnel over time.

## 📁 File Included

- `chocolate analysis.pbix` – Power BI Desktop report file containing data modeling, visuals, and KPIs.

## 📊 Dashboard Highlights

The dashboard enables stakeholders to:

- Analyze **monthly sales performance** using a line and area chart.
- Track **total sales amount and number of boxes sold** within a date range.
- Identify **top-performing chocolate products** by sales amount.
- Examine **country-wise sales contribution** with a donut chart.
- Evaluate **sales performance by individual salespersons**.
## 🖼️ Screenshot

[View Chocolate Sales Dashboard Screenshot](https://github.com/hasinii12/-Chocolate-Analysis-Dashboard/blob/main/Screenshot%202025-07-22%20164210.png)

## 🔍 Key Insights

- Highest sales were recorded in **July 2023 (1.64M)** and **April 2024 (1.62M)**.
- **USA** and **UK** contribute the largest share of sales.
- Products like **Orange Choco**, **Drinking Coco**, and **99% Dark & Bold** lead in sales.
- Top salesperson: **Karlen McCaffrey** with **~756K** in sales.

## 📌 Tools & Technologies

- **Power BI Desktop**
- **DAX (Data Analysis Expressions)**
- **Interactive Visualizations**: Line charts, bar graphs, donut chart, slicers, filters

## 🚀 How to Use

1. Download and install [Power BI Desktop](https://powerbi.microsoft.com/desktop/).
2. Clone this repository or download the `.pbix` file.
3. Open `chocolate analysis.pbix` in Power BI Desktop.
4. Use slicers and visuals to explore trends, insights, and patterns.

## 📝 License

This project is intended for learning and portfolio demonstration purposes.

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📬 *Feel free to fork this project, suggest improvements, or adapt it for your own analytics work!*