https://github.com/shubhamgoyal575/pizza_sales
https://github.com/shubhamgoyal575/pizza_sales
Last synced: 4 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/shubhamgoyal575/pizza_sales
- Owner: shubhamgoyal575
- Created: 2024-04-10T05:13:33.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-10T05:14:42.000Z (over 1 year ago)
- Last Synced: 2024-04-11T06:25:41.489Z (over 1 year ago)
- Size: 2.19 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Pizza Sales Dashboard Project
## Project Overview
This project involves creating a comprehensive dashboard in Power BI to analyze pizza sales data. The analysis aims to provide insights into sales trends, customer preferences, and overall performance. Additionally, SQL will be used for data verification to ensure data accuracy and integrity.
## Objectives
-Analyze pizza sales data to uncover key insights and trends.
-Verify data accuracy using SQL queries.
-Develop a user-friendly, interactive Power BI dashboard.
## Tools and Technologies
-Data Analysis: SQL
-Data Visualization: Power BI
-Data Preparation: Power Query
## Project Structure
### 1. Data Verification
-SQL Queries: Write and execute SQL queries to verify the accuracy and integrity of the pizza sales data.
-Example queries may include checking for duplicates, validating data ranges, and ensuring referential integrity.
-Data Cleaning: Identify and clean any discrepancies or errors found during verification.
### 2. Data Analysis
-Data Import: Import the verified data into Power BI using Power Query.
-Data Modeling: Create relationships between different tables and develop a data model in Power BI.
-Metric Calculation: Calculate key metrics such as total sales, average order value, top-selling pizzas, and peak sales times.
### 3. Dashboard Design
-Visualization: Design various charts, graphs, and tables to present the data insights.
-Sales Trends: Line charts to show sales over time.
-Top Products: Bar charts to display the top-selling pizzas.
-Customer Insights: Pie charts or demographic visuals to understand customer preferences.
-Regional Performance: Maps to illustrate sales performance across different regions.
-Interactivity: Add slicers and filters to enable users to interact with the data and drill down into specific details.
-Styling: Apply consistent styling and formatting to ensure the dashboard is visually appealing and easy to understand.
## Files and Resources
-SQL Scripts: SQL queries used for data verification.
-Power BI File: The Power BI file containing the dashboard and data model.