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Worlds Wealthiest Persons Statistics
Data Science and Analytics
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About
This dataset provides a cleaned collection of information about the world's wealthiest individuals, sourced from the Billionaires Statistic Dataset (2023). It is structured for exploratory data analysis and statistical modelling, encompassing various details categorised into business-related, personal, and economic activity information. The dataset allows for an in-depth examination of wealth distribution, industry influence, and the demographic and economic contexts of billionaires globally.
Columns
- position: The ranking of the billionaire, measured by their total wealth.
- wealth: The financial net worth of the billionaire, expressed in US Dollars.
- industry: The specific industry sector in which the billionaire primarily operates their businesses.
- full_name: The complete name of the billionaire.
- age: The current age of the billionaire.
- country_of_residence: The country where the billionaire currently resides.
- city_of_residence: The city within their country of residence where the billionaire lives.
- source: The main origin or type of business that generated the billionaire's wealth.
- citizenship: The country of citizenship held by the billionaire.
- gender: The gender of the billionaire.
- birth_date: The full date of birth for the billionaire.
- last_name: The surname of the billionaire.
- first_name: The given name of the billionaire.
- residence_state: The state of residence for billionaires living in the U.S. (information only for U.S. residents).
- residence_region: The region of residence for billionaires living in the U.S. (information only for U.S. residents).
- birth_year: The year in which the billionaire was born.
- birth_month: The month in which the billionaire was born.
- birth_day: The day of the month on which the billionaire was born.
- cpi_country: The Consumer Price Index (CPI) for the billionaire's country of residence.
- cpi_change_country: The change in the Consumer Price Index (CPI) for the billionaire's country of residence.
- gdp_country: The Gross Domestic Product (GDP) in US Dollars for the billionaire's country of residence.
- g_tertiary_ed_enroll: The enrolment rate in tertiary education within the billionaire's country of residence.
- g_primary_ed_enroll: The enrolment rate in primary education within the billionaire's country of residence.
- life_expectancy: The average life expectancy in the billionaire's country of residence.
- tax_revenue: The tax revenue in the billionaire's country of residence.
- tax_rate: The total tax rate in the billionaire's country of residence.
- country_pop: The total population of the billionaire's country of residence.
- country_lat: The latitude coordinate of the billionaire's country of residence.
- country_long: The longitude coordinate of the billionaire's country of residence.
- continent: The continent in which the billionaire's country of residence is located.
Distribution
This dataset is provided in CSV format (
df_ready.csv) and has a file size of 640.82 kB. It consists of 30 distinct columns and contains 2591 records or rows.Usage
This dataset is well-suited for various analytical tasks, including:
- Conducting exploratory data analysis and building predictive models.
- Analysing industries with the largest concentrations of billionaires globally and within specific countries.
- Mapping the distribution of billionaires and their total wealth across countries and continents.
- Investigating demographic patterns among billionaires, such as age and gender distributions.
- Exploring the influence of national economic indicators, including GDP and CPI, on the presence of billionaires.
- Performing specific geographical analysis, particularly for U.S. billionaires, due to detailed state and region data.
- Creating dynamic dashboards and visualisations using tools like Plotly to explore different attributes.
Coverage
The dataset covers the world's wealthiest individuals, focusing on statistics from 2023. Geographically, it spans numerous countries and continents, with specific state and regional details available for billionaires residing in the United States. Demographically, it includes information such as age (ranging from 18 to 101 years), gender, and birth dates (from 1921 to 2004).
License
CC0: Public Domain
Who Can Use It
This dataset is ideal for:
- Data Analysts and Scientists: For performing statistical analysis, identifying trends, and developing models related to wealth.
- Researchers and Academics: Investigating economic disparities, social mobility, and the global distribution of wealth.
- Economists: Studying the correlation between economic indicators and extreme wealth accumulation.
- Students: Learning data analysis, visualisation, and conducting projects on global economics and demographics.
- Journalists and Policy Makers: Informing reports and policy discussions on wealth, industry, and economic development.
Dataset Name Suggestions
- Global Billionaires Data 2023
- World's Wealthiest Persons Statistics
- Billionaires Economic & Personal Profiles
- Cleaned Global Billionaire Insights
- International Billionaire Demographics
Attributes
Original Data Source: Worlds Wealthiest Persons Statistics
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