https://github.com/manishjr26/painting-dataset-sql-analysis
"Exploring art through SQL queries: Analyzing a painting dataset from Kaggle.
https://github.com/manishjr26/painting-dataset-sql-analysis
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"Exploring art through SQL queries: Analyzing a painting dataset from Kaggle.
- Host: GitHub
- URL: https://github.com/manishjr26/painting-dataset-sql-analysis
- Owner: manishjr26
- Created: 2024-03-18T03:26:56.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-18T04:29:37.000Z (over 2 years ago)
- Last Synced: 2025-01-21T03:42:06.307Z (over 1 year ago)
- Topics: joins, server, sql
- Homepage:
- Size: 134 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# SQL Dataset Project
This repository contains SQL queries and solutions for analyzing a dataset on paintings. The dataset was downloaded from Kaggle, and it includes information about various aspects of paintings, including artists, subjects, sizes, museums, and more.
## Project Overview
In this project, I have utilized SQL queries to explore and analyze the painting dataset. The queries cover a range of questions, including basic data exploration, filtering, aggregation, and more complex analysis.
## Dataset Information
- **Source:** Kaggle
- Dataset Name: Famous Paintings = [Painting Dataset](https://www.kaggle.com/datasets/mexwell/famous-paintings)
- Youtube video: = https://www.youtube.com/watch?v=AZ29DXaJ1Ts&t=1296s
- **Description:** The dataset consists of 7 tables: `work`, `subject`, `product_size`, `artist`, `canvas_size`, `museum`, and `museum_hours`. Each table contains specific information related to paintings, artists, sizes, museums, etc.
## SQL Table Diagram
Below is the diagram illustrating the relationships between the tables:
## Queries
I have solved a total of 14 queries on the painting dataset. These queries cover various aspects of data exploration and analysis. Questions and queries are present in separate file.