3 datasets found
  1. Cleaned Contoso Dataset

    • kaggle.com
    Updated Aug 27, 2023
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    Bhanu (2023). Cleaned Contoso Dataset [Dataset]. https://www.kaggle.com/datasets/bhanuthakurr/cleaned-contoso-dataset/discussion?sort=undefined
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 27, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Bhanu
    License

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

    Description

    Data was imported from the BAK file found here into SQL Server, and then individual tables were exported as CSV. Jupyter Notebook containing the code used to clean the data can be found here

    Version 6 has a some more cleaning and structuring that was noticed after importing in Power BI. Changes were made by adding code in python notebook to export new cleaned dataset, such as adding MonthNumber for sorting by month number, similar for WeekDayNumber.

    Cleaning was done in python while also using SQL Server to quickly find things. Headers were added separately, ensuring no data loss.Data was cleaned for NaN, garbage values and other columns.

  2. d

    Australian Public Holidays Dates Machine Readable Dataset

    • data.gov.au
    • demo.dev.magda.io
    .csv, csv
    Updated Nov 7, 2024
    + more versions
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    Department of the Prime Minister and Cabinet (2024). Australian Public Holidays Dates Machine Readable Dataset [Dataset]. https://data.gov.au/data/dataset/australian-holidays-machine-readable-dataset
    Explore at:
    csv(20311), csv, csv(18054), csv(8924), csv(9354), .csv(19689), csv(18328), csv(18277), csv(13191), csv(16432), csv(88999)Available download formats
    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    Department of the Prime Minister and Cabinet
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Australia
    Description

    The Department of the Prime Minister and Cabinet is no longer maintaining this dataset. If you would like to take ownership of this dataset for ongoing maintenance please contact us.

    PLEASE READ BEFORE USING

    The data format has been updated to align with a tidy data style (http://vita.had.co.nz/papers/tidy-data.html).

    The data in this dataset is manually collected and combined in a csv format from the following state and territory portals:

    The data API by default returns only the first 100 records. The JSON response will contain a key that shows the link for the next page of records. Alternatively you can view all records by updating the limit on the endpoint or using a query to select all records, i.e. /api/3/action/datastore_search_sql?sql=SELECT * from "{{resource_id}}".

  3. d

    List of all countries with their 2 digit codes (ISO 3166-1)

    • datahub.io
    Updated Aug 29, 2017
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    (2017). List of all countries with their 2 digit codes (ISO 3166-1) [Dataset]. https://datahub.io/core/country-list
    Explore at:
    Dataset updated
    Aug 29, 2017
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    ISO 3166-1-alpha-2 English country names and code elements. This list states the country names (official short names in English) in alphabetical order as given in ISO 3166-1 and the corresponding ISO 3166-1-alpha-2 code elements.

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Share
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Click to copy link
Link copied
Close
Cite
Bhanu (2023). Cleaned Contoso Dataset [Dataset]. https://www.kaggle.com/datasets/bhanuthakurr/cleaned-contoso-dataset/discussion?sort=undefined
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Cleaned Contoso Dataset

Cleaned dataset, 25 different tables in CSV format of Contoso Sales Demo Data..

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Aug 27, 2023
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Bhanu
License

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

Description

Data was imported from the BAK file found here into SQL Server, and then individual tables were exported as CSV. Jupyter Notebook containing the code used to clean the data can be found here

Version 6 has a some more cleaning and structuring that was noticed after importing in Power BI. Changes were made by adding code in python notebook to export new cleaned dataset, such as adding MonthNumber for sorting by month number, similar for WeekDayNumber.

Cleaning was done in python while also using SQL Server to quickly find things. Headers were added separately, ensuring no data loss.Data was cleaned for NaN, garbage values and other columns.

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