https://github.com/theo-liang/sql-and-tableau-project-analysis-for-rockbuster-stealth

This project involved analyzing data for Rockbuster Stealth LLC, a fictional movie rental company transitioning to an online video rental service.
https://github.com/theo-liang/sql-and-tableau-project-analysis-for-rockbuster-stealth

cleaning-data common-table-expressions filtering-data relational-databases sql subqueries-and-joins

Last synced: 23 days ago
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This project involved analyzing data for Rockbuster Stealth LLC, a fictional movie rental company transitioning to an online video rental service.

• Host: GitHub
• URL: https://github.com/theo-liang/sql-and-tableau-project-analysis-for-rockbuster-stealth
• Owner: theo-liang
• Created: 2024-09-03T16:17:54.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-09-05T19:49:21.000Z (4 months ago)
• Last Synced: 2024-11-14T22:18:28.946Z (about 1 month ago)
• Topics: cleaning-data, common-table-expressions, filtering-data, relational-databases, sql, subqueries-and-joins
• Homepage: https://public.tableau.com/views/Task3_10RockbusterProjectWorkbook/GeographicSalesPercentage?:language=en-US&:sid=&:redirect=auth&:display_count=n&:origin=viz_share_link
• Size: 2.19 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
##### Description

###### This project involved analyzing data for Rockbuster Stealth LLC, a fictional movie rental company transitioning to an online video rental service. The dataset used in this project contains detailed information about Rockbuster's film inventory, customers, and payments, among other key business metrics. As part of the Business Intelligence (BI) team, I loaded and managed data in an RDBMS, performed SQL-based analysis, and provided actionable insights to support the company's strategic launch decisions. The results were compiled into a report presented to the management board to guide their decision-making process.

##### Topics Covered

###### Relational databases, data storage, SQL, data querying, filtering data, cleaning and summarizing data, joining tables, subqueries, and common table expressions

##### Tools Used

###### PostgreSQL database, pgAdmin4, DbVisualizer, and Tableau