Welcome to the SQL Data Analysis Repository! This repository hosts a collection of SQL scripts and queries for various data analysis tasks. These scripts are designed to help you analyze and gain insights from datasets related to automobiles, sales, and medicine. Below, you'll find a brief overview of the analysis projects available in this repository.
- Dive into the world of automobiles with this SQL analysis project. Explore datasets related to car specifications, sales, and more. Analyze trends, identify popular models, and make comparisons using SQL queries.
- Get valuable insights from sales data using SQL. This project covers various aspects of sales analysis, including revenue trends, customer segmentation, and product performance. Dive into the data to make informed business decisions.
- Explore healthcare data and perform data analysis on medicine-related datasets. This project includes queries for analyzing patient records, prescription trends, and other medical data to support decision-making in the healthcare sector.
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Clone or download this repository to your local machine.
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Navigate to the specific project directory you want to explore.
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Open the SQL script associated with the project using your preferred SQL database management tool.
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Execute the SQL queries to analyze the dataset and extract insights.
If you'd like to contribute to this repository by adding new analysis projects or improving existing ones, please feel free to submit a pull request. Your contributions and ideas are highly valued and can benefit the entire community.
If you encounter any issues, find bugs, or have suggestions for improvements, please open an issue on the repository. Your feedback and input are crucial for enhancing the quality of these data analysis projects.
This repository is open-source and available under the MIT License. You are free to use and modify the SQL scripts and queries for your data analysis projects.
- Hiran Joseph
Explore, analyze, and gain insights from datasets using SQL in this repository. Happy data analysis!