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Historical Fortune 500 Business Analytics
Data Science and Analytics
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About
This dataset offers a detailed collection of business-oriented data pertaining to Fortune 500 companies in the United States, spanning from 1996 to 2023. It serves as a valuable resource for anyone interested in exploring long-term trends, discovering significant patterns, visualising corporate performance, and training analytical models within a business context. The data focuses exclusively on the top US companies as ranked by Fortune 500.
Columns
- name: Name of Business
- rank: Company's Rank in Fortune 500
- year: The specific year the data applies to
- industry: The industry sector the company operates within
- sector: The broader economic sector of the company
- headquarters_state: The state where the company's headquarters is located
- headquarters_city: The city where the company's headquarters is located
- market_value_mil: Market Value of the company in millions of US Dollars
- revenue_mil: Company's Revenue in millions of US Dollars
- profit_mil: Company's Profit in millions of US Dollars
- asset_mil: Company's Assets in millions of US Dollars
- employees: Total number of employees
- founder_is_ceo: Indicates whether the founder is currently the CEO (Yes/No)
- female_ceo: Indicates whether the CEO is female (Yes/No)
- newcomer_to_fortune_500: Indicates if it's the company's first time on the Fortune 500 list (Yes/No)
- global_500: Indicates if the company is also part of the Global 500 list (Yes/No)
Distribution
The dataset is provided in a CSV format and has a file size of 1.41 MB. It is structured as tabular data, containing approximately 13,900 rows and 16 distinct columns.
Usage
This dataset is ideal for a variety of applications, including:
- Business intelligence: Analysing corporate performance and market trends over nearly three decades.
- Data visualisation: Creating insightful charts and dashboards to illustrate economic shifts and company standing.
- Predictive modelling: Training machine learning models to forecast market values, revenues, or other financial metrics.
- Academic research: Studying the evolution of top US companies and their impact on the economy.
- Pattern recognition: Identifying recurring patterns in company growth, decline, and industry shifts.
Coverage
The data's geographic scope is limited to the United States, specifically focusing on companies listed in the Fortune 500. It covers a substantial time range, from 1996 to 2023. The dataset exclusively includes information for Fortune 500 companies, providing a deep dive into the business landscape of these prominent entities.
License
CC0: Public Domain
Who Can Use It
This dataset is intended for a wide audience, including:
- Business analysts seeking to understand corporate trends and performance.
- Data scientists looking for rich, historical business data for model development.
- Students and researchers in economics, finance, and business studies.
- Anyone with an interest in exploring business data, identifying patterns, and creating visualisations.
Dataset Name Suggestions
- Fortune 500 Companies: 1996-2023 Business Data
- US Top Corporate Performance Dataset
- Historical Fortune 500 Business Analytics
- A Quarter-Century of US Corporate Data
Attributes
Original Data Source:Historical Fortune 500 Business Analytics
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