54 datasets found
  1. List_of_countries_by_GDP_-PPP-_per_person_employed

    • kaggle.com
    Updated Jul 17, 2020
    + more versions
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    Mathurin Aché (2020). List_of_countries_by_GDP_-PPP-_per_person_employed [Dataset]. https://www.kaggle.com/mathurinache/list-of-countries-by-gdp--ppp--per-person-employed
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 17, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Mathurin Aché
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset is extracted from https://en.wikipedia.org/wiki/List_of_countries_by_GDP_-PPP-_per_person_employed. Context: There s a story behind every dataset and heres your opportunity to share yours.Content: What s inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements:We wouldn t be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.Inspiration: Your data will be in front of the world s largest data science community. What questions do you want to see answered?

  2. GDP data for TPS competitions

    • kaggle.com
    Updated Sep 1, 2022
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    Carl McBride Ellis (2022). GDP data for TPS competitions [Dataset]. https://www.kaggle.com/datasets/carlmcbrideellis/gdp-20152019-finland-norway-and-sweden
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 1, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Carl McBride Ellis
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Description

    GDP_data_2015_to_2019_Finland_Norway_Sweden.csv is a csv file of the gross domestic product (GDP) data was obtained from The World Bank website. Hopefully it will be of use in the Tabular Playground Series - Jan 2022 competition.

    Update (September 2022): GDP_data_2015_to_2021_for_TPS_Sept_2022.csv is a csv file of the GDP data was obtained from The World Bank website. Hopefully it will be of use in the Tabular Playground Series - Sep 2022 competition. * The data is in billion current US$ * The years are 2015-2021 * The 6 countries are * Belgium * France * Germany * Italy * Poland * Spain

  3. GDP Capital Expenditure QoQ Prel

    • tipranks.com
    Updated Aug 15, 2025
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    TipRanks (2025). GDP Capital Expenditure QoQ Prel [Dataset]. https://www.tipranks.com/calendars/economic/gdp-capital-expenditure-qoq-prel-7095
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    Dataset updated
    Aug 15, 2025
    Dataset authored and provided by
    TipRankshttp://www.tipranks.com/
    Area covered
    jp
    Description

    'GDP Capital Expenditure QoQ Prel' in Japan measures the preliminary quarterly change in capital expenditure by businesses, reflecting investment in physical assets like machinery and infrastructure.

  4. GDP Growth Rate YoY Final

    • tipranks.com
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    TipRanks, GDP Growth Rate YoY Final [Dataset]. https://www.tipranks.com/calendars/economic/gdp-growth-rate-yoy-final-7090
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    Dataset authored and provided by
    TipRankshttp://www.tipranks.com/
    Area covered
    sg
    Description

    The 'GDP Growth Rate YoY Final' in Singapore measures the annual percentage change in the value of all goods and services produced in the economy, adjusted for inflation.

  5. GDP Growth Rate QoQ Final

    • tipranks.com
    Updated Nov 22, 2023
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    TipRanks (2023). GDP Growth Rate QoQ Final [Dataset]. https://www.tipranks.com/calendars/economic/gdp-growth-rate-qoq-final-7091
    Explore at:
    Dataset updated
    Nov 22, 2023
    Dataset authored and provided by
    TipRankshttp://www.tipranks.com/
    Area covered
    sg
    Description

    The 'GDP Growth Rate QoQ Final' in Singapore measures the percentage change in the country's economic output from one quarter to the next, adjusted for inflation.

  6. WWII: pre-war GDP of selected countries and regions 1938

    • statista.com
    Updated Jan 1, 1998
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    Statista (1998). WWII: pre-war GDP of selected countries and regions 1938 [Dataset]. https://www.statista.com/statistics/1334182/wwii-pre-war-gdp/
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    Dataset updated
    Jan 1, 1998
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1938
    Area covered
    World
    Description

    In 1938, the year before the Second World War, the United States had, by far, the largest economy in the world in terms of gross domestic product (GDP). The five Allied Great Powers that emerged victorious from the war, along with the three Axis Tripartite Pact countries that were ultimately defeated made up the eight largest independent economies in 1938.

    When values are converted into 1990 international dollars, the U.S. GDP was over 800 billion dollars in 1938, which was more than double that of the second largest economy, the Soviet Union. Even the combined economies of the UK, its dominions, and colonies had a value of just over 680 billion 1990 dollars, showing that the United States had established itself as the world's leading economy during the interwar period (despite the Great Depression).

    Interestingly, the British and Dutch colonies had larger combined GDPs than their respective metropoles, which was a key motivator for the Japanese invasion of these territories in East Asia during the war. Trade with neutral and non-belligerent countries also contributed greatly to the economic development of Allied and Axis powers throughout the war; for example, natural resources from Latin America were essential to the American war effort, while German manufacturing was often dependent on Swedish iron supplies.

  7. GDP Growth Annualized Prel

    • tipranks.com
    Updated Aug 14, 2025
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    TipRanks (2025). GDP Growth Annualized Prel [Dataset]. https://www.tipranks.com/calendars/economic/gdp-growth-annualized-prel-7099
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    Dataset updated
    Aug 14, 2025
    Dataset authored and provided by
    TipRankshttp://www.tipranks.com/
    Area covered
    jp
    Description

    The 'GDP Growth Annualized Prel' in Japan measures the preliminary annualized rate of growth in the country's Gross Domestic Product, reflecting economic performance over a quarter.

  8. Top ten countries worldwide with highest GDP in 2050

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Top ten countries worldwide with highest GDP in 2050 [Dataset]. https://www.statista.com/statistics/674491/top-10-countries-with-highest-gdp/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    Worldwide
    Description

    This statistic shows the projected top ten largest national economies in 2050. By 2050, China is forecasted to have a gross domestic product of over ** trillion U.S. dollars.

  9. List_of_countries_by_GDP_-nominal-

    • kaggle.com
    zip
    Updated Jul 17, 2020
    + more versions
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    Mathurin Aché (2020). List_of_countries_by_GDP_-nominal- [Dataset]. https://www.kaggle.com/mathurinache/list-of-countries-by-gdp--nominal-
    Explore at:
    zip(217 bytes)Available download formats
    Dataset updated
    Jul 17, 2020
    Authors
    Mathurin Aché
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset is extracted from https://en.wikipedia.org/wiki/List_of_countries_by_GDP_-nominal-. Context: There s a story behind every dataset and heres your opportunity to share yours.Content: What s inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements:We wouldn t be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.Inspiration: Your data will be in front of the world s largest data science community. What questions do you want to see answered?

  10. GDP Growth Rate QoQ Prel

    • tipranks.com
    Updated Nov 14, 2023
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    TipRanks (2023). GDP Growth Rate QoQ Prel [Dataset]. https://www.tipranks.com/calendars/economic/gdp-growth-rate-qoq-prel-7098
    Explore at:
    Dataset updated
    Nov 14, 2023
    Dataset authored and provided by
    TipRankshttp://www.tipranks.com/
    Area covered
    jp
    Description

    The 'GDP Growth Rate QoQ Prel' in Japan measures the preliminary quarter-on-quarter change in the country's Gross Domestic Product, reflecting the economy's expansion or contraction.

  11. T

    United States GDP Annual Growth Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 15, 2025
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    TRADING ECONOMICS (2025). United States GDP Annual Growth Rate [Dataset]. https://tradingeconomics.com/united-states/gdp-growth-annual
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 1948 - Jun 30, 2025
    Area covered
    United States
    Description

    The Gross Domestic Product (GDP) in the United States expanded 2 percent in the second quarter of 2025 over the same quarter of the previous year. This dataset provides the latest reported value for - United States GDP Annual Growth Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  12. T

    Japan GDP

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 10, 2021
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    TRADING ECONOMICS (2021). Japan GDP [Dataset]. https://tradingeconomics.com/japan/gdp
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    Nov 10, 2021
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1960 - Dec 31, 2024
    Area covered
    Japan
    Description

    The Gross Domestic Product (GDP) in Japan was worth 4026.21 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Japan represents 3.79 percent of the world economy. This dataset provides - Japan GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  13. GDP by activity: Agriculture, hunting, forestry, fishing

    • data.unep.org
    html
    Updated Feb 23, 2024
    + more versions
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    UN Environment Programme (UNEP) (2024). GDP by activity: Agriculture, hunting, forestry, fishing [Dataset]. https://data.unep.org/app/dataset/sdg-indicator_id-585
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Feb 23, 2024
    Dataset provided by
    United Nations Environment Programmehttp://www.unep.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Describes the generation of gross value added of economic activities engaged in agriculture, hunting, forestry and fishing in accordance with the International Standard Industrial Classification Section A Agriculture, hunting and forestry and Section B Fishing (see ISIC Rev 3.1). Expressed in the current prices of the US dollars.

  14. Growth of the global gross domestic product (GDP) 2030

    • statista.com
    • ai-chatbox.pro
    Updated May 20, 2025
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    Statista (2025). Growth of the global gross domestic product (GDP) 2030 [Dataset]. https://www.statista.com/statistics/273951/growth-of-the-global-gross-domestic-product-gdp/
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    Dataset updated
    May 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2025
    Area covered
    Worldwide
    Description

    In most years since 1980, global GDP growth has been relatively consistent, generally fluctuating between two and five percent growth from year to year. The most notable exceptions to this were during the Great Recession in 2009, and again in 2020 during the Covid-19 pandemic, where the global economy actually shrank in both of these years. As the world economy continues to deal with the economic impact of the pandemic, as well as the fallout from Russia's invasion of Ukraine in 2022, the future remains uncertain, however current estimates suggest that annual growth will return to steady figures of around 3 percent in 2029.

  15. List_of_regions_by_past_GDP_-PPP-

    • kaggle.com
    zip
    Updated Jul 17, 2020
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    Mathurin Aché (2020). List_of_regions_by_past_GDP_-PPP- [Dataset]. https://www.kaggle.com/mathurinache/list-of-regions-by-past-gdp--ppp-
    Explore at:
    zip(370 bytes)Available download formats
    Dataset updated
    Jul 17, 2020
    Authors
    Mathurin Aché
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset is extracted from https://en.wikipedia.org/wiki/List_of_regions_by_past_GDP_-PPP-. Context: There s a story behind every dataset and heres your opportunity to share yours.Content: What s inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements:We wouldn t be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.Inspiration: Your data will be in front of the world s largest data science community. What questions do you want to see answered?

  16. f

    Correlation between number of radios and television and the birth of...

    • figshare.com
    xls
    Updated Jun 5, 2023
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    C. Jara-Figueroa; Amy Z. Yu; César A. Hidalgo (2023). Correlation between number of radios and television and the birth of memorable characters. [Dataset]. http://doi.org/10.1371/journal.pone.0205771.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    C. Jara-Figueroa; Amy Z. Yu; César A. Hidalgo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    We explore the correlation between the number of radios and televisions a country has each year, with the number of performing artists, sports players, and scientists born each year, after controlling for GDP, population, and adding country fixed effects and year fixed effects. Reported errors correspond to robust standard errors. All quantities are calculated yearly between 1850 and 1973, and are in log scale.

  17. GDP Sales QoQ Adv

    • tipranks.com
    Updated Jul 30, 2025
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    TipRanks (2025). GDP Sales QoQ Adv [Dataset]. https://www.tipranks.com/calendars/economic/gdp-sales-qoq-adv-6671
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    Dataset updated
    Jul 30, 2025
    Dataset authored and provided by
    TipRankshttp://www.tipranks.com/
    Area covered
    us
    Description

    'GDP Sales QoQ Adv' in the USA refers to the advance estimate of the quarter-over-quarter change in Gross Domestic Product, excluding inventories and trade.

  18. A

    ‘COVID-19 State Data’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Mar 31, 2020
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2020). ‘COVID-19 State Data’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-covid-19-state-data-85fa/4a8c7dec/?iid=002-627&v=presentation
    Explore at:
    Dataset updated
    Mar 31, 2020
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Analysis of ‘COVID-19 State Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/nightranger77/covid19-state-data on 28 January 2022.

    --- Dataset description provided by original source is as follows ---

    This dataset is a per-state amalgamation of demographic, public health and other relevant predictors for COVID-19.

    Deaths, Infections and Tests by State

    The COVID Tracking Project: https://covidtracking.com/data/api

    Used positive, death and totalTestResults from the API for, respectively, Infected, Deaths and Tested in this dataset. Please read the documentation of the API for more context on those columns

    Predictor Data and Sources

    Population (2020)

    Density is people per meter squared https://worldpopulationreview.com/states/

    ICU Beds and Age 60+

    https://khn.org/news/as-coronavirus-spreads-widely-millions-of-older-americans-live-in-counties-with-no-icu-beds/

    GDP

    https://worldpopulationreview.com/states/gdp-by-state/

    Income per capita (2018)

    https://worldpopulationreview.com/states/per-capita-income-by-state/

    Gini

    https://en.wikipedia.org/wiki/List_of_U.S._states_by_Gini_coefficient

    Unemployment (2020)

    Rates from Feb 2020 and are percentage of labor force
    https://www.bls.gov/web/laus/laumstrk.htm

    Sex (2017)

    Ratio is Male / Female
    https://www.kff.org/other/state-indicator/distribution-by-gender/

    Smoking Percentage (2020)

    https://worldpopulationreview.com/states/smoking-rates-by-state/

    Influenza and Pneumonia Death Rate (2018)

    Death rate per 100,000 people
    https://www.cdc.gov/nchs/pressroom/sosmap/flu_pneumonia_mortality/flu_pneumonia.htm

    Chronic Lower Respiratory Disease Death Rate (2018)

    Death rate per 100,000 people
    https://www.cdc.gov/nchs/pressroom/sosmap/lung_disease_mortality/lung_disease.htm

    Active Physicians (2019)

    https://www.kff.org/other/state-indicator/total-active-physicians/

    Hospitals (2018)

    https://www.kff.org/other/state-indicator/total-hospitals

    Health spending per capita

    Includes spending for all health care services and products by state of residence. Hospital spending is included and reflects the total net revenue. Costs such as insurance, administration, research, and construction expenses are not included.
    https://www.kff.org/other/state-indicator/avg-annual-growth-per-capita/

    Pollution (2019)

    Pollution: Average exposure of the general public to particulate matter of 2.5 microns or less (PM2.5) measured in micrograms per cubic meter (3-year estimate)
    https://www.americashealthrankings.org/explore/annual/measure/air/state/ALL

    Medium and Large Airports

    For each state, number of medium and large airports https://en.wikipedia.org/wiki/List_of_the_busiest_airports_in_the_United_States

    Temperature (2019)

    Note that FL was incorrect in the table, but is corrected in the Hottest States paragraph
    https://worldpopulationreview.com/states/average-temperatures-by-state/
    District of Columbia temperature computed as the average of Maryland and Virginia

    Urbanization (2010)

    Urbanization as a percentage of the population https://www.icip.iastate.edu/tables/population/urban-pct-states

    Age Groups (2018)

    https://www.kff.org/other/state-indicator/distribution-by-age/

    School Closure Dates

    Schools that haven't closed are marked NaN https://www.edweek.org/ew/section/multimedia/map-coronavirus-and-school-closures.html

    Note that some datasets above did not contain data for District of Columbia, this missing data was found via Google searches manually entered.

    --- Original source retains full ownership of the source dataset ---

  19. f

    Instrumental variable analysis of the effect of printing on European cities...

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
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    C. Jara-Figueroa; Amy Z. Yu; César A. Hidalgo (2023). Instrumental variable analysis of the effect of printing on European cities that adopted printing. [Dataset]. http://doi.org/10.1371/journal.pone.0205771.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    C. Jara-Figueroa; Amy Z. Yu; César A. Hidalgo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Here, we use the distance to Mainz as an instrument for the year of the first printing press in each city, and use it to estimate the effect of printing in the birth of scientists, artists, and political leaders.

  20. Economic growth; economic activity, region, National Accounts, 1996-2023

    • cbs.nl
    • open.staging.dexspace.nl
    • +2more
    xml
    Updated Dec 9, 2024
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    Centraal Bureau voor de Statistiek (2024). Economic growth; economic activity, region, National Accounts, 1996-2023 [Dataset]. https://www.cbs.nl/nl-nl/cijfers/detail/84361ENG
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Dec 9, 2024
    Dataset provided by
    Statistics Netherlands
    Authors
    Centraal Bureau voor de Statistiek
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1996 - 2023
    Area covered
    The Netherlands
    Description

    This table contains information of the Regional accounts. Regional accounts give a description of the economic process in the regions of a country in conformity with the national accounts. Elements in the economic process distinguished in national accounts are production, distribution of income, spending and financing. Regional accounts focus on the description of the production processes in the various regions. The new Standard Industrial Classification 2008 (SIC 2008) is used in the National and Regional Accounts of the Netherlands. This code is based on the European classification Nomenclature générale des Activités économiques dans la Communauté Européenne (NACE Rev. 2) which is used in all Member States of the European Union.

    Data available from: 1996

    Status of the figures: The figures of year 1996 up to and including 2021 are final and the figures of the years 2022 and 2023 are provisional. Since this table has been discontinued, data of 2022 and 2023 will not become final.

    Changes as of December 9th 2024: None. This table has been discontinued. Statistics Netherlands has carried out a revision of the national accounts. The Dutch national accounts are recently revised. New statistical sources, methods and concepts are implemented in the national accounts, in order to align the picture of the Dutch economy with all underlying source data and international guidelines for the compilation of the national accounts. For further information see section 3.

    When will new figures be published? Not applicable anymore.

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Mathurin Aché (2020). List_of_countries_by_GDP_-PPP-_per_person_employed [Dataset]. https://www.kaggle.com/mathurinache/list-of-countries-by-gdp--ppp--per-person-employed
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List_of_countries_by_GDP_-PPP-_per_person_employed

List_of_countries_by_GDP_-PPP-_per_person_employed.csv

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jul 17, 2020
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Mathurin Aché
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

This dataset is extracted from https://en.wikipedia.org/wiki/List_of_countries_by_GDP_-PPP-_per_person_employed. Context: There s a story behind every dataset and heres your opportunity to share yours.Content: What s inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements:We wouldn t be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.Inspiration: Your data will be in front of the world s largest data science community. What questions do you want to see answered?

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