US Tech Companies Dataset

Dataset Specifications:

• Rows: 50 (one for each leading tech company)
• Columns: 10 (detailing company-specific metrics)

Key Features: This dataset includes key business attributes for each company, such as revenue, market capitalization, employee size, and tax information, covering the period from 2022 to 2023. The columns in the dataset are as follows:

1. Company Name – (String) The name of the tech company
2. Industry – (String) The industry sector in which the company operates (e.g., software, hardware, cloud computing)
3. Sector – (String) The specific business specialization of the company (e.g., cybersecurity, e-commerce)
4. Headquarters State – (String) The state where the company’s corporate headquarters is located
5. Founding Year – (Integer) The year the company was established
6. Annual Revenue (2022-2023) – (Float, in Billions USD) The company’s total annual revenue for 2022-2023
7. Market Capitalization (USD in Trillions) – (Float) The total market value of the company’s outstanding shares (in Trillions USD)
8. Stock Symbol – (String) The stock symbol used by the company in the financial markets
9. Annual Income Tax (2022-2023) – (Float, in Billions USD) The total income tax paid by the company during the 2022-2023 period
10. Employee Size – (Integer) The total number of employees working for the company

Why Use This Dataset?

• Market Research: Compare and analyze the financial health and market position of the top tech giants in the US.
• Business Insights: Understand revenue trends, tax obligations, and employment scales within the US tech industry.
• AI and ML Applications: Leverage data for machine learning projects related to company performance analysis, market prediction, and industry trends.

How to Use: Perfect for analysts, researchers, and AI practitioners looking to explore the business landscape of US tech companies. This dataset is ideal for business intelligence, financial analysis, and developing predictive models.