4 datasets found
  1. Query auto-completions for German politicians of the 18th Bundestag

    • zenodo.org
    csv
    Updated Jan 24, 2020
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    Anastasiia Samokhina; Malte Bonart; Malte Bonart; Philipp Schaer; Philipp Schaer; Gernot Heisenberg; Anastasiia Samokhina; Gernot Heisenberg (2020). Query auto-completions for German politicians of the 18th Bundestag [Dataset]. http://doi.org/10.5281/zenodo.3462046
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    csvAvailable download formats
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Anastasiia Samokhina; Malte Bonart; Malte Bonart; Philipp Schaer; Philipp Schaer; Gernot Heisenberg; Anastasiia Samokhina; Gernot Heisenberg
    License

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

    Area covered
    Germany
    Description

    bundestag.csv - UTF-8 encoded comma separated text file

    This dataset contains the members of the 18th German Bundestag in the constitution of late 2016.

    terms.csv - UTF-8 encoded comma separated text file

    This dataset contains the unordered and pooled auto-completions for the German politicians from Bing search (http://api.bing.net/osjson.aspx), from Duck-Duck-Go (https://duckduckgo.com/ac/) and from Google search (http://clients1.google.de/complete/search). The data was crawled on (mostly) two times per day from 2017/02/03 to 2017/06/19. German language settings were used for Google and Bing, English language setting was used for Duck-Duck-Go. The API requests were sent with an IP address from Cologne, Germany.

    : google, bing or ddg

  2. Microsoft Stock Data 2025

    • kaggle.com
    Updated Feb 4, 2025
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    Umer Haddii (2025). Microsoft Stock Data 2025 [Dataset]. https://www.kaggle.com/datasets/umerhaddii/microsoft-stock-data-2025/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 4, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Umer Haddii
    License

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

    Description

    Context

    Microsoft is an American company that develops and distributes software and services such as: a search engine (Bing), cloud solutions and the computer operating system Windows.

    Market cap

    Market capitalization of Microsoft (MSFT)
    
    Market cap: $3.085 Trillion USD
    

    As of February 2025 Microsoft has a market cap of $3.085 Trillion USD. This makes Microsoft the world's 2nd most valuable company by market cap according to our data. The market capitalization, commonly called market cap, is the total market value of a publicly traded company's outstanding shares and is commonly used to measure how much a company is worth.

    Revenue

    Revenue for Microsoft (MSFT)
    Revenue in 2024 (TTM): $254.19 Billion USD
    

    According to Microsoft's latest financial reports the company's current revenue (TTM ) is $254.19 Billion USD. In 2023 the company made a revenue of $227.58 Billion USD an increase over the revenue in the year 2022 that were of $204.09 Billion USD. The revenue is the total amount of income that a company generates by the sale of goods or services. Unlike with the earnings no expenses are subtracted.

    Earnings

    Earnings for Microsoft (MSFT)
    Earnings in 2024 (TTM): $110.77 Billion USD
    
    

    According to Microsoft's latest financial reports the company's current earnings are $254.19 Billion USD. In 2023 the company made an earning of $101.21 Billion USD, an increase over its 2022 earnings that were of $82.58 Billion USD. The earnings displayed on this page are the earnings before interest and taxes or simply EBIT.

    End of Day market cap according to different sources On Feb 2nd, 2025 the market cap of Microsoft was reported to be:

    • $3.085 Trillion USD by Nasdaq

    • $3.085 Trillion USD by CompaniesMarketCap

    • $3.085 Trillion USD by Yahoo Finance

    Content

    Geography: USA

    Time period: March 1986- February 2025

    Unit of analysis: Microsoft Stock Data 2025

    Variables

    VariableDescription
    datedate
    openThe price at market open.
    highThe highest price for that day.
    lowThe lowest price for that day.
    closeThe price at market close, adjusted for splits.
    adj_closeThe closing price after adjustments for all applicable splits and dividend distributions. Data is adjusted using appropriate split and dividend multipliers, adhering to Center for Research in Security Prices (CRSP) standards.
    volumeThe number of shares traded on that day.

    Acknowledgements

    This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2F0304ad0416e7e55515daf890288d7f7f%2FScreenshot%202025-02-03%20152019.png?generation=1738662588735376&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2Fba7629dd0c4dc3e2ea1dbac361b94de1%2FScreenshot%202025-02-03%20152147.png?generation=1738662611945343&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2Fa9f48f1ec5fdf2a363a138389294d5b0%2FScreenshot%202025-02-03%20152159.png?generation=1738662631268574&alt=media" alt="">

  3. o

    btw17 query auto completion - query suggestions for German politicians and...

    • explore.openaire.eu
    • data.niaid.nih.gov
    • +1more
    Updated Dec 5, 2018
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    Malte Bonart; Philipp Schaer (2018). btw17 query auto completion - query suggestions for German politicians and parties before the federal election 2017 [Dataset]. http://doi.org/10.5281/zenodo.1494858
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    Dataset updated
    Dec 5, 2018
    Authors
    Malte Bonart; Philipp Schaer
    Area covered
    Germany
    Description

    The dataset contains the query suggestions for 5 major German parties (terms: "afd", "csu", "dielinke", "fdp", "grüne", "spd") and ten popular politicians and party leaders (terms: "Alexander Gauland", "Alice Weidel", "Angela Merkel", "Cem Özdemir", "Christian Lindner", "Dietmar Bartsch", "Katrin Göring-Eckardt", "Martin Schulz", "Sahra Wagenknecht"). The data was crawled on (mostly) two times per day from Tue Aug 04, 2017 to Tue Oct 31, 2017. The dataset contains 20001 suggestions from Bing search (http://api.bing.net/osjson.aspx), 11935 suggestions from Duck-Duck-Go (https://duckduckgo.com/ac/) and 33521 suggestions from Google search (http://clients1.google.de/complete/search). Note, that for some terms and dates no suggestions were returned by some of the APIs. German language settings were used for Google and Bing, English language setting was used for Duck-Duck-Go. The API requests were sent with an IP address from Cologne, Germany. The UTF-8 encoded comma separated text file contains the following columns: : google, bing or ddg

  4. o

    An integrated dataset of daily lake surface water temperature over Tibetan...

    • explore.openaire.eu
    • data.niaid.nih.gov
    Updated Jan 19, 2022
    + more versions
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    Linan Guo; Yanhong Wu; Hongxing Zheng; Bing Zhang; Mengxuan Wen (2022). An integrated dataset of daily lake surface water temperature over Tibetan Plateau [Dataset]. http://doi.org/10.5281/zenodo.5878436
    Explore at:
    Dataset updated
    Jan 19, 2022
    Authors
    Linan Guo; Yanhong Wu; Hongxing Zheng; Bing Zhang; Mengxuan Wen
    Area covered
    Tibetan Plateau
    Description

    A dataset for daily surface temperature of 160 lakes over Tibetan Plateau for period from 1978 to 2017. The new dataset was developed based on combination of remote sensing (MODIS) and model (slightly modified air2water model).

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    Learn how you can add new datasets to our index.

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Click to copy link
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Anastasiia Samokhina; Malte Bonart; Malte Bonart; Philipp Schaer; Philipp Schaer; Gernot Heisenberg; Anastasiia Samokhina; Gernot Heisenberg (2020). Query auto-completions for German politicians of the 18th Bundestag [Dataset]. http://doi.org/10.5281/zenodo.3462046
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Query auto-completions for German politicians of the 18th Bundestag

Explore at:
csvAvailable download formats
Dataset updated
Jan 24, 2020
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Anastasiia Samokhina; Malte Bonart; Malte Bonart; Philipp Schaer; Philipp Schaer; Gernot Heisenberg; Anastasiia Samokhina; Gernot Heisenberg
License

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

Area covered
Germany
Description

bundestag.csv - UTF-8 encoded comma separated text file

This dataset contains the members of the 18th German Bundestag in the constitution of late 2016.

terms.csv - UTF-8 encoded comma separated text file

This dataset contains the unordered and pooled auto-completions for the German politicians from Bing search (http://api.bing.net/osjson.aspx), from Duck-Duck-Go (https://duckduckgo.com/ac/) and from Google search (http://clients1.google.de/complete/search). The data was crawled on (mostly) two times per day from 2017/02/03 to 2017/06/19. German language settings were used for Google and Bing, English language setting was used for Duck-Duck-Go. The API requests were sent with an IP address from Cologne, Germany.

: google, bing or ddg

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