This dataset contains information about housing sales in Nashville, TN such as property, owner, sales, and tax information. The SQL queries I created for Data Cleaning can be found here.

Dataset

This dataset was created by Parth Mistry 20

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Check out our data lens page for additional data filtering and sorting options: https://data.cityofnewyork.us/view/i4p3-pe6a

This dataset contains Open Parking and Camera Violations issued by the City of New York. Updates will be applied to this data set on the following schedule:

New or open tickets will be updated weekly (Sunday). Tickets satisfied will be updated daily (Tuesday through Sunday). NOTE: Summonses that have been written-off are indicated by blank financials.

Summons images will not be available during scheduled downtime on Sunday - Monday from 1:00 am to 2:30 am and on Sundays from 5:00 am to 10:00 am.

• Initial dataset loaded 05/14/2016.

Dataset

This dataset was created by Thejeswini.V

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Library Dataset for SQL Project

Watch Full Video -- https://www.youtube.com/watch?v=6X2-P9fNVvw

Project Files -- https://github.com/najirh/Library-System-Management---P2?tab=readme-ov-file

Dataset

This dataset was created by Andrew Dolcimascolo-Garrett

Released under MIT

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Dataset

This dataset was created by Najir 0123

Released under MIT

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This is the sample database from sqlservertutorial.net. This is a great dataset for learning SQL and practicing querying relational databases.

Database Diagram:

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4146319%2Fc5838eb006bab3938ad94de02f58c6c1%2FSQL-Server-Sample-Database.png?generation=1692609884383007&alt=media" alt="">

Terms of Use

The sample database is copyrighted and cannot be used for commercial purposes. For example, it cannot be used for the following but is not limited to the purposes: - Selling - Including in paid courses

I completed a PostgreSQL project to hone my SQL abilities. Following a tutorial video, I worked on a music store data analysis. In the project, I used SQL to answer several queries about the music shop company.

Dataset

This dataset was created by Rodrigo Fontanella

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SQL IMDB Movies Analysis for RSVP (Film Production Company)

RSVP Movies is an Indian film production company which has produced many super-hit movies. They have usually released movies for the Indian audience but for their next project, they are planning to release a movie for the global audience in 2022.

The production company wants to plan their every move analytically based on data. We have taken the last three years IMDB movies data and carried out the analysis using SQL. We have analysed the data set and drew meaningful insights that could help them start their new project.

For our convenience, the entire analytics process has been divided into four segments, where each segment leads to significant insights from different combinations of tables. The questions in each segment with business objectives are written in the script given below. We have written the solution code below every question.

Dataset

This dataset was created by Deepali Sukhdeve

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SAP Bikes Sales : SQL Project

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22744129%2Fdd8e395e5d70bde9279f0f653b4bc2bf%2FGemini_Generated_Image_cvz71ncvz71ncvz7.jpg?generation=1736783649344014&alt=media" alt=""> This project involves analyzing and transforming data from a bike warehouse database using SQL. The goal is to clean, transform, and query the data to generate insights about products, employees, customers, sales, and trends.

Overview

The SAP Bikes Sales database contains various tables that represent business data for a bike warehouse, such as information on products, sales, employees, business partners, and more. This project focuses on cleaning and transforming data, optimizing database schema, and generating SQL queries to gain business insights.

Key SQL Operations:

1.**Data Cleaning & Transformation**: - Remove duplicate records from key tables. - Drop unnecessary columns and handle null values. - Populate new columns based on existing data. - Merge related tables to create new insights. 2.**Business Insights Queries**: - Top-selling Products: Identify products with the highest sales quantities and total revenue. - Sales Performance by Product Category: Analyze revenue and order counts by product category. - Employee Sales Performance: Track employees' contribution to sales volumes and revenue. - Customer Segmentation: Examine the number of orders placed by business partners and their total sales value. - Sales Trends: Analyze sales trends over time and calculate average order values.

Tables Involved

• Addresses: Contains information about addresses: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22744129%2F1a5b39b4f402dfce31ea25d6d53c2f38%2FAdresses%20Table.PNG?generation=1736780543250265&alt=media" alt="">
• BusinessPartners: Contains details about business partners: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22744129%2F416a9be40526650a4167dfdc565dfbe6%2FBusinessPartners%20Table.PNG?generation=1736780656503685&alt=media" alt="">
• Employees: Contains employee information: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22744129%2F5b99849bde2bc052cc1d6cc7d52fb67d%2FEmployees%20Table.PNG?generation=1736780677194831&alt=media" alt="">
• ProductCategories & ProductCategoryText: Describe product categories and their descriptions: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22744129%2F928f9aeb937c2fdc8d8860cc8d23f9d7%2FProductCategories%20Table.PNG?generation=1736780784495223&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22744129%2Fe148078e53777ca1180c5adf6cec7dda%2FProductCategory%20Text%20Table.PNG?generation=1736780831995071&alt=media" alt="">
• Products & ProductTexts: Contain product details and product descriptions: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22744129%2Fdd4eb334332ec5d9248ccb8b737dd2df%2FProducts%20Table.PNG?generation=1736780894684724&alt=media" alt=""> https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22744129%2Faceb93b69951b1fde1f46bac146a9aa0%2FProductTexts%20Table.PNG?generation=1736782044055973&alt=media" alt="">
• SalesOrderItems: Contains details of individual items within a sales order: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22744129%2Fe0ba42ddc00634ce1728e013dbeb231c%2FSalesOrderItemsTable.PNG?generation=1736781074515668&alt=media" alt="">
• SalesOrders: Contains information about sales orders: https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22744129%2F0a67d6ba6ded143676db9f0b4f4dfcb0%2FSalesOrders%20Table.PNG?generation=1736781089531236&alt=media" alt="">

Key SQL Queries

1. Data Cleaning and Transformation:

-**Addresses Table**: -Checking for duplicates ADDRESSID. -**BusinessPartners Table**: -Handled duplicates, missing or incorrect data. -Dropped the unnecessary FAXNUMBER column because it was empty. -**Employee Table**: -Dropped unnecessary columns. -Populated NAME_INITIALS based on employee's first, middle, and last name initials. -Fixed column type issues. -**Product Categories and Product Texts**: -Merged ProductCategories and ProductCategoryText tables into a new CombinedProductCategories table for easy analysis. -**Products Table**: -Dropped irrelevant columns such as WIDTH, DEPTH, HEIGHT, etc. -**Sales Order Items Table**: -Fixed null values in GROSSAMOUNT and created a TOTALGROSSAMOUNT column to track sales volume.

###2. Database Diagram and Relationships In addition to the data cleaning and analysis, a database diagram has been create...

Dataset

This dataset was created by Abdallah Nasser

Released under Apache 2.0

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Dataset

This dataset was created by Luis Lira

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Dataset

This dataset was created by Michael Nowell

Released under Database: Open Database, Contents: Database Contents

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This Database created on SQL was a Sales project based on the famous database AdventureWorks2019 from Microsoft.

I decided to create a code and share this project on SQL to let people learn from it.

This database is not as bigger as AdventureWorks2019, it is a database made of 10 different tables linked to each other. After the step of creation of the tables, I did a step only to add the data into the table. I added the data from the AdventureWorks2019 database.

My Coursera Capstone SQL Project

The sql containing the files and queries used to acquire SQL certification performed in a MYSQL environment and queries performed are listed below for reference sake and to follow along with the output as well to view the queried data.

Dataset

This dataset was created by Argha01

Released under Other (specified in description)

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Dataset

This dataset was created by Shivani Siripuram 6

Released under CC0: Public Domain

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