This project focuses on analyzing and evaluating the valuation of companies using structured data management and advanced querying techniques in MySQL. By leveraging efficient data handling and powerful SQL queries, we uncover valuable insights into company valuations, industry trends, investor patterns, and startup ecosystems.
The key goals of this project include:
- Analyze valuation trends of companies over time.
- Investigate industry-wise valuation distribution.
- Identify top-performing companies based on valuation growth.
- Perform investor category analysis to understand investment trends.
- Conduct outlier detection for accurate valuation rankings.
- Evaluate startup ecosystems by city and country.
The dataset consists of structured valuation-related records, covering various industries, investor types, and geographical locations. Key fields include:
- Company: Company Name.
- Valuation ($B): Company Value in Billions.
- Date Joined: Investors joined data in company.
- Country: Country where Company situated in.
- CityÂ: City where Company situated in.
- Industry: Industry of Company.
- Gender: The gender of the athlete.
- Investors: Investors Data.
This project utilizes:
- Database Management: MySQL Workbench 8.0.41
- Data Analysis: SQL queries for structured insights
- Download & Import Data: Ensure dataset availability and import into MySQL.
- Run SQL Queries: Execute pre-defined queries to explore valuation trends.
- Analyze Insights: Extract key findings on valuation patterns.
🚀 Happy Analyzing! If you have any questions or suggestions, feel free to contribute or reach out.