6 datasets found
  1. Global exporters importers-export import data of Gaming console

    • volza.com
    csv
    Updated Sep 7, 2025
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    Volza FZ LLC (2025). Global exporters importers-export import data of Gaming console [Dataset]. https://www.volza.com/p/gaming-console/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Sep 7, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of export import value
    Description

    315884 Global exporters importers export import shipment records of Gaming console with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  2. n

    Repository Analytics and Metrics Portal (RAMP) 2020 data

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Jul 23, 2021
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    Jonathan Wheeler; Kenning Arlitsch (2021). Repository Analytics and Metrics Portal (RAMP) 2020 data [Dataset]. http://doi.org/10.5061/dryad.dv41ns1z4
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    zipAvailable download formats
    Dataset updated
    Jul 23, 2021
    Dataset provided by
    University of New Mexico
    Montana State University
    Authors
    Jonathan Wheeler; Kenning Arlitsch
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Version update: The originally uploaded versions of the CSV files in this dataset included an extra column, "Unnamed: 0," which is not RAMP data and was an artifact of the process used to export the data to CSV format. This column has been removed from the revised dataset. The data are otherwise the same as in the first version.

    The Repository Analytics and Metrics Portal (RAMP) is a web service that aggregates use and performance use data of institutional repositories. The data are a subset of data from RAMP, the Repository Analytics and Metrics Portal (http://rampanalytics.org), consisting of data from all participating repositories for the calendar year 2020. For a description of the data collection, processing, and output methods, please see the "methods" section below.

    Methods Data Collection

    RAMP data are downloaded for participating IR from Google Search Console (GSC) via the Search Console API. The data consist of aggregated information about IR pages which appeared in search result pages (SERP) within Google properties (including web search and Google Scholar).

    Data are downloaded in two sets per participating IR. The first set includes page level statistics about URLs pointing to IR pages and content files. The following fields are downloaded for each URL, with one row per URL:

    url: This is returned as a 'page' by the GSC API, and is the URL of the page which was included in an SERP for a Google property.
    impressions: The number of times the URL appears within the SERP.
    clicks: The number of clicks on a URL which took users to a page outside of the SERP.
    clickThrough: Calculated as the number of clicks divided by the number of impressions.
    position: The position of the URL within the SERP.
    date: The date of the search.
    

    Following data processing describe below, on ingest into RAMP a additional field, citableContent, is added to the page level data.

    The second set includes similar information, but instead of being aggregated at the page level, the data are grouped based on the country from which the user submitted the corresponding search, and the type of device used. The following fields are downloaded for combination of country and device, with one row per country/device combination:

    country: The country from which the corresponding search originated.
    device: The device used for the search.
    impressions: The number of times the URL appears within the SERP.
    clicks: The number of clicks on a URL which took users to a page outside of the SERP.
    clickThrough: Calculated as the number of clicks divided by the number of impressions.
    position: The position of the URL within the SERP.
    date: The date of the search.
    

    Note that no personally identifiable information is downloaded by RAMP. Google does not make such information available.

    More information about click-through rates, impressions, and position is available from Google's Search Console API documentation: https://developers.google.com/webmaster-tools/search-console-api-original/v3/searchanalytics/query and https://support.google.com/webmasters/answer/7042828?hl=en

    Data Processing

    Upon download from GSC, the page level data described above are processed to identify URLs that point to citable content. Citable content is defined within RAMP as any URL which points to any type of non-HTML content file (PDF, CSV, etc.). As part of the daily download of page level statistics from Google Search Console (GSC), URLs are analyzed to determine whether they point to HTML pages or actual content files. URLs that point to content files are flagged as "citable content." In addition to the fields downloaded from GSC described above, following this brief analysis one more field, citableContent, is added to the page level data which records whether each page/URL in the GSC data points to citable content. Possible values for the citableContent field are "Yes" and "No."

    The data aggregated by the search country of origin and device type do not include URLs. No additional processing is done on these data. Harvested data are passed directly into Elasticsearch.

    Processed data are then saved in a series of Elasticsearch indices. Currently, RAMP stores data in two indices per participating IR. One index includes the page level data, the second index includes the country of origin and device type data.

    About Citable Content Downloads

    Data visualizations and aggregations in RAMP dashboards present information about citable content downloads, or CCD. As a measure of use of institutional repository content, CCD represent click activity on IR content that may correspond to research use.

    CCD information is summary data calculated on the fly within the RAMP web application. As noted above, data provided by GSC include whether and how many times a URL was clicked by users. Within RAMP, a "click" is counted as a potential download, so a CCD is calculated as the sum of clicks on pages/URLs that are determined to point to citable content (as defined above).

    For any specified date range, the steps to calculate CCD are:

    Filter data to only include rows where "citableContent" is set to "Yes."
    Sum the value of the "clicks" field on these rows.
    

    Output to CSV

    Published RAMP data are exported from the production Elasticsearch instance and converted to CSV format. The CSV data consist of one "row" for each page or URL from a specific IR which appeared in search result pages (SERP) within Google properties as described above. Also as noted above, daily data are downloaded for each IR in two sets which cannot be combined. One dataset includes the URLs of items that appear in SERP. The second dataset is aggregated by combination of the country from which a search was conducted and the device used.

    As a result, two CSV datasets are provided for each month of published data:

    page-clicks:

    The data in these CSV files correspond to the page-level data, and include the following fields:

    url: This is returned as a 'page' by the GSC API, and is the URL of the page which was included in an SERP for a Google property.
    impressions: The number of times the URL appears within the SERP.
    clicks: The number of clicks on a URL which took users to a page outside of the SERP.
    clickThrough: Calculated as the number of clicks divided by the number of impressions.
    position: The position of the URL within the SERP.
    date: The date of the search.
    citableContent: Whether or not the URL points to a content file (ending with pdf, csv, etc.) rather than HTML wrapper pages. Possible values are Yes or No.
    index: The Elasticsearch index corresponding to page click data for a single IR.
    repository_id: This is a human readable alias for the index and identifies the participating repository corresponding to each row. As RAMP has undergone platform and version migrations over time, index names as defined for the previous field have not remained consistent. That is, a single participating repository may have multiple corresponding Elasticsearch index names over time. The repository_id is a canonical identifier that has been added to the data to provide an identifier that can be used to reference a single participating repository across all datasets. Filtering and aggregation for individual repositories or groups of repositories should be done using this field.
    

    Filenames for files containing these data end with “page-clicks”. For example, the file named 2020-01_RAMP_all_page-clicks.csv contains page level click data for all RAMP participating IR for the month of January, 2020.

    country-device-info:

    The data in these CSV files correspond to the data aggregated by country from which a search was conducted and the device used. These include the following fields:

    country: The country from which the corresponding search originated.
    device: The device used for the search.
    impressions: The number of times the URL appears within the SERP.
    clicks: The number of clicks on a URL which took users to a page outside of the SERP.
    clickThrough: Calculated as the number of clicks divided by the number of impressions.
    position: The position of the URL within the SERP.
    date: The date of the search.
    index: The Elasticsearch index corresponding to country and device access information data for a single IR.
    repository_id: This is a human readable alias for the index and identifies the participating repository corresponding to each row. As RAMP has undergone platform and version migrations over time, index names as defined for the previous field have not remained consistent. That is, a single participating repository may have multiple corresponding Elasticsearch index names over time. The repository_id is a canonical identifier that has been added to the data to provide an identifier that can be used to reference a single participating repository across all datasets. Filtering and aggregation for individual repositories or groups of repositories should be done using this field.
    

    Filenames for files containing these data end with “country-device-info”. For example, the file named 2020-01_RAMP_all_country-device-info.csv contains country and device data for all participating IR for the month of January, 2020.

    References

    Google, Inc. (2021). Search Console APIs. Retrieved from https://developers.google.com/webmaster-tools/search-console-api-original.

  3. S

    Video Game Console Price in Morocco - 2025

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jul 1, 2025
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    IndexBox Inc. (2025). Video Game Console Price in Morocco - 2025 [Dataset]. https://www.indexbox.io/search/video-game-console-price-morocco/
    Explore at:
    doc, pdf, xls, xlsx, docxAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Jul 9, 2025
    Area covered
    Morocco
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    The average video game console export price stood at $83.8 per unit in July 2022, flattening at the previous month.

  4. Global exporters importers-export import data of Lcd

    • volza.com
    csv
    Updated May 6, 2025
    + more versions
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    Volza FZ LLC (2025). Global exporters importers-export import data of Lcd [Dataset]. https://www.volza.com/p/lcd/
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 6, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Count of importers, Count of shipments, Sum of export import value
    Description

    7632408 Global exporters importers export import shipment records of Lcd with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  5. S

    Video Game Console Price in Malaysia - 2025

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jul 1, 2025
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    IndexBox Inc. (2025). Video Game Console Price in Malaysia - 2025 [Dataset]. https://www.indexbox.io/search/video-game-console-price-malaysia/
    Explore at:
    doc, xlsx, pdf, xls, docxAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Jul 3, 2025
    Area covered
    Malaysia
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Video game console exports from Malaysia soared to 1.5M units in 2023, jumping by 189% compared with the year before.

  6. S

    Price for Electrical Board and Console in Hungary - 2025

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jun 1, 2025
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    IndexBox Inc. (2025). Price for Electrical Board and Console in Hungary - 2025 [Dataset]. https://www.indexbox.io/search/price-for-electrical-board-and-console-hungary/
    Explore at:
    doc, docx, xlsx, xls, pdfAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    IndexBox Inc.
    License

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

    Time period covered
    Jan 1, 2012 - Jun 29, 2025
    Area covered
    Hungary
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Electrical board and console exports from Hungary contracted sharply to 294K units in 2023, waning by -16.6% against 2022 figures.

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Volza FZ LLC (2025). Global exporters importers-export import data of Gaming console [Dataset]. https://www.volza.com/p/gaming-console/
Organization logo

Global exporters importers-export import data of Gaming console

Explore at:
csvAvailable download formats
Dataset updated
Sep 7, 2025
Dataset provided by
Volza
Authors
Volza FZ LLC
License

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

Variables measured
Count of exporters, Count of importers, Count of shipments, Sum of export import value
Description

315884 Global exporters importers export import shipment records of Gaming console with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

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