https://github.com/inddrsingh/restaurant_orders_mysql

Complex SQL queries on restaurant data for better and precise insights
https://github.com/inddrsingh/restaurant_orders_mysql

data-analysis insights mysql

Last synced: 5 months ago
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Complex SQL queries on restaurant data for better and precise insights

• Host: GitHub
• URL: https://github.com/inddrsingh/restaurant_orders_mysql
• Owner: INDDRSINGH
• Created: 2025-05-18T13:55:30.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-05-18T16:55:19.000Z (about 1 year ago)
• Last Synced: 2025-06-15T10:42:02.579Z (about 1 year ago)
• Topics: data-analysis, insights, mysql
• Homepage:
• Size: 24.4 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Restaurant Orders Data Analysis

![DatabaseSchema](https://github.com/INDDRSINGH/restaurant_orders_MySQL/blob/main/restaurant_image.jpg)

Complex SQL queries on restaurant data for better and precise insights.

## Introduction.

The dataset contains the data of Orders of a Restaurant which started in 2025.

Dataset can be downloaded from [here](https://github.com/INDDRSINGH/restaurant_orders_MySQL/blob/main/restaurant_orders.csv) 

You can view the Queries and their results [SQL_Querries.md](https://github.com/INDDRSINGH/restaurant_orders_MySQL/blob/main/SQL_Querries.md) 

## Database

  * MySQL

## Queries

  * Top 1 outlet by each cuisine type

  * Number of customers joining each day.

  * Number of repeat orders each month

  * All users those were acquired in Jan and only placed orders in jan and not after that.

  * List all customers with no orders in the last 7 days but were acquired one month ago with first order on promo code.

  * show the customer id of the customers after every second transaction, which team can use to send personalized email.

  * List of customer who has placed more than 1 order and all of them were with a promo code

  * list of customers which were acquired organically in Jan 2025, without any promo code.

  * percentage of customers which were acquired organically in Jan 2025, without any promo code.