https://github.com/mikaremi/pizza-sales

In this project, I analyze the sales of pizza in a particular pizza joint in India. The data set was retrieved from Kaggle. The data set comprises of various pizza orders information that includes ; name, ingridients, size, category and the price.
https://github.com/mikaremi/pizza-sales

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In this project, I analyze the sales of pizza in a particular pizza joint in India. The data set was retrieved from Kaggle. The data set comprises of various pizza orders information that includes ; name, ingridients, size, category and the price.

• Host: GitHub
• URL: https://github.com/mikaremi/pizza-sales
• Owner: Mikaremi
• Created: 2024-03-21T20:17:45.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-04-11T14:36:37.000Z (10 months ago)
• Last Synced: 2024-04-11T17:14:48.148Z (10 months ago)
• Size: 2.78 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Pizza-sales

In this project, I analyze the sales of pizza in a particular pizza joint in India. The data set was retrieved from Kaggle. The data set comprises of  various pizza orders information that includes ; name, ingredients, size, category and the price.

## Steps

### Ms. SQL Server

- Importing the raw data.

- Creating a database

- Writting queries

### PowerBi

- Connecting Ms. SQL to PowerBi

- Data cleaning - Changing the pizza size values to; large, regular, medium and x-large.

- Data processing

- Data visualisation

- Building dashboards

# Problem Statement

## KPI Requirements

- Total revenue - sum of total price of all pizza orders

- Average order value - Average amount spent by order

- Total pizza sold - Sum of quantities of all the pizza sold

- Average pizza per order - Average numbr of pizzas sold per order

## Chart requirements

- Daily trends for total orders - Created a bar chart that displays the daily trend of the total orders over a specific time period. The chart helps to identify any patterns or fluctuations in order volumes on a daily basis.

- Monthly trend for total orders - Created a line chart that shows the hourly trend of total orders throughout the day. It'll help to idetify the peak hours or periods of high order activity.

- Percentage of sales by pizza category - Created a pie chart that shows the distribution of sales accross different pizza categories. It will provide insight on the popularity of various pizza categories and their contribution to overall sales.

- Percentage - generated a pie chart that represents the % of sales attributed to different pizza sizes. This chart helps to understand customer preference for pizza sizes and their impact on sales.

- Total pizza sold by pizza category - Created a funnel chart that presents the total numbers of pizza sold for each category. It will help us to compare the sales perfomance of different pizza categories.

- Top 5 best sellers by revenue. Total quantity and orders - Created a bar chart showing the top 5 best sellers

- Bottom 5 best sellers by reveune. Total quantity and total orders - Created a bar chart showing the bottom 5 worst pizza.