This is an End-to_End PowerBI Report, where I dived deep into data modelling, created relationships and crafted a comprehensive report using a fascinating dataset.
I'm thrilled to share my very first Power BI project, where I dived into data modeling, created relationships, and crafted a comprehensive report using a fascinating dataset.
- Data Pre-Processing in MySQL
- Data-Analysis in MySQL
- Connecting and shaping the Data in Power BI
- Creating Data Model
- Calculating Measures with DAX
- Visualising data with Dashboard
- Drawing Conclusions
We need to analyze key performance indicators for pizza sales data to gain insights into our business performance. Specifically, we want to calculate the following metrics :- 🔶Total Revenue : $817.86 K 🔶Average Order Value : 38.307 🔶Total Pizza Sold : 49,574 🔶Total Orders : 21,350 🔶Average Pizza per Order : 2
🔶What is the revenue of pizza across different categories ? 🔸Chicken 🔸Classic 🔸Supreme 🔸Veggie
🔸L - 375318.70 🔸M - 249382.25 🔸S - 178076.49 🔸X - 14076 🔸XXL - 1006.60
- Friday
- Mid-Afternoon
- July
- The Classic Deluxe Pizza
🔸The Thai Chicken Pizza 🔸The Barbeque Chicken Pizza 🔸The California Chicken Pizza 🔸 The Classic Deluxe Pizza 🔸 The Spicy Italian Pizza
- The Classic Deluxe Pizza
- The Pepperoni Pizza
- The Greek Pizza
🔶Which ingredients does the restaurant need to make sure they have in hand to make the ordered pizzas?
🔸Garlic 🧄 🔸Tomatoes 🍅 🔸Red Onions 🧅 🔸Red Peppers 🌶️🫑 🔸Chicken 🍗 🔸Mushrooms 🍄
This project has been a fantastic learning experience, and I can't wait to continue exploring the world of data analytics and visualization with Power BI.
#PowerBI #DataAnalysis #PizzaSales #powerbiDashboard #DataVisualization #Analytics #DataModeling #github #githubrepository
Rashmi Singh