Digital Music Store data analysis using SQL
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Updated
Aug 1, 2024
Digital Music Store data analysis using SQL
An SQL analysis exploring the relationship between reported crimes in Chicago and the average daily temperature from 2018 through 2023.
Using a combination of Excel, SQL, and Tableau, I delved into the extensive datasets comprising over 82k rows of data from Netflix's shows and movies library. Through data simplification and analysis, I uncovered fascinating insights and intriguing facts about the content available on the platform.
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In this repository, you are going to learn the fundamentals of SQL: how to create a SQL database from scratch, how to use SQL commands, how to fetch data from the database, write data to the database, edit data in the database as well as how to delete data from the database.
This repository contains a SQL dataset of a music store and SQL queries to answer questions about the data. The results of the SQL queries can be found in the analysis.sql file. This repository can be used as a starting point for anyone who wants to learn how to use SQL to analyze data.
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A project focuses on analyzing music store data using SQL 🎧
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Sales analysis over a PostgreSQL database, aiming to discover diverse insights. Identify best seller products, biggest customers, and sales growth rate
Utilizing a combination of Excel, SQL, and Power BI, I delved into an extensive dataset comprising over 50,000 entries of pizza sales data from our business. Through meticulous data simplification and analysis, I uncovered compelling insights and illuminating trends about sales performance and customer preferences within the pizza market.
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