100+ datasets found
  1. f

    Data_Sheet_2_Interpretation of Quantities Displayed in Pictorial Charts.PDF

    • frontiersin.figshare.com
    pdf
    Updated Jun 11, 2023
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    Tobias Rolfes (2023). Data_Sheet_2_Interpretation of Quantities Displayed in Pictorial Charts.PDF [Dataset]. http://doi.org/10.3389/fpsyg.2021.609027.s002
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    Frontiers
    Authors
    Tobias Rolfes
    License

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

    Description

    This brief research report presents an experiment investigating how people interpret quantities displayed in pictorial charts. Pictorial charts are a popular form of data visualization in media. They represent different quantities with differently scaled pictures. In the present study, 63 university students answered a 12-item questionnaire containing three different pictorial charts. The study aimed to evaluate how individuals perceive the quantities in the pictorial charts intuitively. Therefore, the students’ answers were not rated as correct or incorrect. Instead, it was analyzed which functional relationship between scale factor and estimated quantity best described people’s interpretation of pictorial charts. The experiment showed that, on average, a model assuming a quadratic relationship fitted best. This result deviates from research that found an overgeneralization of linearity when students compare the areas of two mathematically similar shapes. It may be that the routines for the interpretation of pictures differ considerably depending on whether a person must calculate a quantity arithmetically or is prompted to estimate the quantity based on visual perception.

  2. Editors' Pick: Charts of Note 2019

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    bin
    Updated Oct 1, 2024
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    USDA Economic Research Service (2024). Editors' Pick: Charts of Note 2019 [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Editors_Pick_Charts_of_Note_2019/25696479
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    binAvailable download formats
    Dataset updated
    Oct 1, 2024
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Authors
    USDA Economic Research Service
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This chart gallery is a collection of some of the best Charts of Note from 2019. These charts were selected by ERS editors as those worthy of a second read because they provide context for the year’s headlines or share key insights from ERS research.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Editors' Pick: Charts of Note 2019 For complete information, please visit https://data.gov.

  3. Best of Charts of Note 2016

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    • +1more
    bin
    Updated Oct 1, 2024
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    USDA Economic Research Service (2024). Best of Charts of Note 2016 [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Best_of_Charts_of_Note_2016/25696557
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    binAvailable download formats
    Dataset updated
    Oct 1, 2024
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Authors
    USDA Economic Research Service
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Note: Updates to this data product are discontinued. This chart gallery is a collection of the best Charts of Note for 2016. These charts were selected by ERS editors as those worthy of a second read because they provide context for the year’s headlines or share key insights from ERS research.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Chart gallery For complete information, please visit https://data.gov.

  4. Data from: Hall-of-Apps: The Top Android Apps Metadata Archive

    • zenodo.org
    bz2, zip
    Updated Mar 20, 2020
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    Laura Bello-Jiménez; Laura Bello-Jiménez; Camilo Escobar-Velásquez; Camilo Escobar-Velásquez; Anamaria Mojica-Hanke; Anamaria Mojica-Hanke; Santiago Cortés-Fernandéz; Santiago Cortés-Fernandéz; Mario Linares-Vásquez; Mario Linares-Vásquez (2020). Hall-of-Apps: The Top Android Apps Metadata Archive [Dataset]. http://doi.org/10.5281/zenodo.3712249
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    zip, bz2Available download formats
    Dataset updated
    Mar 20, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Laura Bello-Jiménez; Laura Bello-Jiménez; Camilo Escobar-Velásquez; Camilo Escobar-Velásquez; Anamaria Mojica-Hanke; Anamaria Mojica-Hanke; Santiago Cortés-Fernandéz; Santiago Cortés-Fernandéz; Mario Linares-Vásquez; Mario Linares-Vásquez
    License

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

    Description

    The amount of Android apps available for download is constantly increasing, exerting a continuous pressure on developers to publish outstanding apps. Google Play (GP) is the default distribution channel for Android apps, which provides mobile app users with metrics to identify and report apps quality such as rating, amount of downloads, previous users comments, etc. In addition to those metrics, GP presents a set of top charts that highlight the outstanding apps in different categories. Both metrics and top app charts help developers to identify whether their development decisions are well valued by the community. Therefore, app presence in these top charts is a valuable information when understanding the features of top-apps. In this paper we present Hall-of-Apps, a dataset containing top charts' apps metadata extracted (weekly) from GP, for 4 different countries, during 30 weeks. The data is presented as (i) raw HTML files, (ii) a MongoDB database with all the information contained in app's HTML files (e.g., app description, category, general rating, etc.), and (iii) data visualizations built with the D3.js framework. A first characterization of the data along with the urls to retrieve it can be found in our online appendix: https://thesoftwaredesignlab.github.io/hall-of-apps-tools/

  5. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +15more
    csv, excel, json, xml
    + more versions
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    TRADING ECONOMICS, United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
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    excel, xml, json, csvAvailable download formats
    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
    Jan 3, 1928 - Mar 27, 2025
    Area covered
    United States
    Description

    The main stock market index in the United States (US500) decreased 176 points or 2.99% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on March of 2025.

  6. a

    Context Window Tokens by Models Model

    • artificialanalysis.ai
    Updated Feb 15, 2025
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    Artificial Analysis (2025). Context Window Tokens by Models Model [Dataset]. https://artificialanalysis.ai/models
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    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    Artificial Analysis
    Description

    Comparison of Context Window: Tokens Limit; Higher is better by Model

  7. d

    Finage Real-Time & Historical Widgets Tick-By-Data - Stock Market Data for...

    • datarade.ai
    Updated Jul 30, 2020
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    Finage (2020). Finage Real-Time & Historical Widgets Tick-By-Data - Stock Market Data for USA & UK [Dataset]. https://datarade.ai/data-products/widgets
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    Dataset updated
    Jul 30, 2020
    Dataset authored and provided by
    Finage
    Area covered
    United Kingdom, United States
    Description

    There are six diferent kinds of widgets we have;

    Ticker - This Widget is used for your websites top or bottom for navigation bar. It is horizontal bar with symbols last prices, daily changes and daily percentage changes.

    Tape Ticker - This is a stock market classic widget that simply displays symbols (prices, daily changes and daily changes of percentages ) with a sliding cursor that stops when your cursor stops in a position it will stop too. Simple, fancy and useful.

    Single Ticker - It's a simple one-symbol sized ticker.

    Converter - This widget works best on the right or left sidebar of your website with a fast, useful currency converter with the latest updates and unit prices.

    Mini Converter - It’s also simple and beautiful converter best for mobile websites.

    Historical Chart - You can view the historical data details for a single symbol with the Historical Chart Widget.

  8. M

    NASDAQ Composite - 54 Years of Historical Data

    • macrotrends.net
    • new.macrotrends.net
    csv
    Updated Mar 26, 2025
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    NASDAQ Composite - 54 Years of Historical Data [Dataset]. https://www.macrotrends.net/1320/nasdaq-historical-chart
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    csvAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    World
    Description

    Long term historical dataset of the NASDAQ Composite stock market index since 1971. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

  9. g

    Best of Charts of Note 2014 | gimi9.com

    • gimi9.com
    + more versions
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    Best of Charts of Note 2014 | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_best-of-charts-of-note-2014
    Explore at:
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Note: Updates to this data product are discontinued. This chart gallery is a collection of the best Charts of Note for 2014. These charts were selected by ERS editors as those worthy of a second read because they provide context for the year’s headlines or share key insights from ERS research.

  10. a

    Coding Index by Models Model

    • artificialanalysis.ai
    Updated Feb 15, 2025
    + more versions
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    Artificial Analysis (2025). Coding Index by Models Model [Dataset]. https://artificialanalysis.ai/models
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    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    Artificial Analysis
    Description

    Comparison of Represents the average of coding benchmarks in the Artificial Analysis Intelligence Index (LiveCodeBench & SciCode) by Model

  11. T

    Silver - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +18more
    csv, excel, json, xml
    Updated Feb 1, 2001
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    Silver - Price Data [Dataset]. https://tradingeconomics.com/commodity/silver
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    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Feb 1, 2001
    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
    Jan 2, 1975 - Mar 27, 2025
    Area covered
    World
    Description

    Silver increased 4.76 USD/t. oz or 16.49% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Silver - values, historical data, forecasts and news - updated on March of 2025.

  12. Editors' Pick Charts of Note 2018

    • agdatacommons.nal.usda.gov
    • datasets.ai
    • +2more
    bin
    Updated Oct 1, 2024
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    USDA Economic Research Service (2024). Editors' Pick Charts of Note 2018 [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Editors_Pick_Charts_of_Note_2018/25696476
    Explore at:
    binAvailable download formats
    Dataset updated
    Oct 1, 2024
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Authors
    USDA Economic Research Service
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This chart gallery is a collection of the best Charts of Note from 2018. These charts were selected by ERS editors as those worthy of a second read because they provide context for the year’s headlines or share key insights from ERS research.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Editors' Pick Charts of Note 2018 For complete information, please visit https://data.gov.

  13. C

    China Stock market access for smaller firms - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Feb 23, 2018
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    Globalen LLC (2018). China Stock market access for smaller firms - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/China/stock_market_access_small_firms/
    Explore at:
    csv, xml, excelAvailable download formats
    Dataset updated
    Feb 23, 2018
    Dataset authored and provided by
    Globalen LLC
    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, 2001 - Dec 31, 2020
    Area covered
    China
    Description

    China: Stock market capitalization w/o top 10 firms, percent of total market cap: The latest value from 2020 is 63.36 percent, a decline from 86.95 percent in 2019. In comparison, the world average is 47.89 percent, based on data from 28 countries. Historically, the average for China from 2001 to 2020 is 76.42 percent. The minimum value, 60.59 percent, was reached in 2006 while the maximum of 91.03 percent was recorded in 2017.

  14. a

    Latency vs. Output Speed by Models Model

    • artificialanalysis.ai
    Updated Feb 15, 2025
    + more versions
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    Artificial Analysis (2025). Latency vs. Output Speed by Models Model [Dataset]. https://artificialanalysis.ai/models
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    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    Artificial Analysis
    Description

    Comparison of Latency (Time to First Token) vs. Output Speed (Output Tokens per Second) by Model

  15. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +16more
    csv, excel, json, xml
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    Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    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
    Jan 5, 1965 - Mar 27, 2025
    Area covered
    Japan
    Description

    The main stock market index in Japan (JP225) decreased 2147 points or 5.38% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on March of 2025.

  16. a

    Intelligence vs. Context Window by Models Model

    • artificialanalysis.ai
    Updated Feb 15, 2025
    + more versions
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    Artificial Analysis (2025). Intelligence vs. Context Window by Models Model [Dataset]. https://artificialanalysis.ai/models
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    Artificial Analysis
    Description

    Comparison of Artificial Analysis Intelligence Index vs. Context Window (Tokens) by Model

  17. T

    China Shanghai Composite Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 27, 2025
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    TRADING ECONOMICS (2025). China Shanghai Composite Stock Market Index Data [Dataset]. https://tradingeconomics.com/china/stock-market
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Mar 27, 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
    Dec 19, 1990 - Mar 27, 2025
    Area covered
    China
    Description

    The main stock market index in China (SHANGHAI) increased 22 points or 0.66% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on March of 2025.

  18. Top Importers of Printed Maps, Charts and Atlases, 2016

    • reportlinker.com
    Updated Apr 11, 2024
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    ReportLinker (2024). Top Importers of Printed Maps, Charts and Atlases, 2016 [Dataset]. https://www.reportlinker.com/dataset/88ef2071858dd2374f1cba8b843737b0acb62e11
    Explore at:
    Dataset updated
    Apr 11, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Description

    Top Importers of Printed Maps, Charts and Atlases, 2016 Discover more data with ReportLinker!

  19. Top selling albums of all time in the U.S. 2024

    • statista.com
    Updated Aug 21, 2024
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    Statista (2024). Top selling albums of all time in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/189411/top-selling-albums-in-the-united-states-since-1991/
    Explore at:
    Dataset updated
    Aug 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The top selling album of all time in the United States based on certified unit sales is currently the Eagles’ Greatest Hits, with 38 million copies sold. Michael Jackson's 1982 album, 'Thriller', ranked second with 34 million sales, and the Eagles also held third place in the ranking with 'Hotel California', which had 26 million certified unit sales as of August 2024. Also featuring in the ranking were several world-famous rock bands: AC/DC, Led Zeppelin, Guns N’ Roses, Fleetwood Mac, and Boston. Eagles: a short history The Eagles were founded in Los Angeles in 1971 by Don Henley, Glenn Frey, Randy Meisner, and Bernie Leadon. In 1975, Bernie Leadon left and was replaced by Joe Walsh, and two years later Meisner left and made way for Timothy B. Schmit. The group specializes in folk, country, and soft rock, and are most famous for 1977 number one single ‘Hotel California’, which is 6 and a half minutes long and is still popular today. After the band broke up in 1980, the Eagles were on hiatus until 1994 and pursued their own individual musical projects. Glenn Frey almost topped the charts with Beverly Hills Cop soundtrack hit ‘The Heat Is On’, and worked on the soundtracks for ‘Thelma & Louise’ and ‘Ghostbusters II’. Joe Walsh released his own album ‘There Goes the Neighborhood’ and did session work for Steve Winwood and Emerson, Lake & Palmer among others. Schmit sang backup vocals for Toto and toured with Walsh as part of Ringo Starr’s All-Starr band. Don Henley’s released album ‘No Fun Aloud’ and achieved commercial success with famous songs ‘The Boys of Summer’ and ‘The Heart of the Matter’, as well as a song with Fleetwood Mac singer-songwriter Stevie Nicks. Henley began dating Nicks in the late 1970s and the two went on to collaborate musically, releasing ‘Leather and Lace’ in 1981. Today, the Eagles are not only some of the highest paid musicians in the U.S. but are one of the most active and well-known rock bands in the world and are frequently on tour. In fact, the American rockers famous for ‘Hotel California’ had one of the most successful music tours in the world in 2018, which generated gross revenue of 166 million U.S. dollars – that’s almost as much as the Foo Fighters’ and Sam Smith’s tour revenue combined.

  20. Top Exporters of Printed Maps, Charts and Atlases, 2016

    • reportlinker.com
    Updated Apr 11, 2024
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    ReportLinker (2024). Top Exporters of Printed Maps, Charts and Atlases, 2016 [Dataset]. https://www.reportlinker.com/dataset/bb9e429ee49e27090eee04989433a55771a5404d
    Explore at:
    Dataset updated
    Apr 11, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Description

    Top Exporters of Printed Maps, Charts and Atlases, 2016 Discover more data with ReportLinker!

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Click to copy link
Link copied
Close
Cite
Tobias Rolfes (2023). Data_Sheet_2_Interpretation of Quantities Displayed in Pictorial Charts.PDF [Dataset]. http://doi.org/10.3389/fpsyg.2021.609027.s002

Data_Sheet_2_Interpretation of Quantities Displayed in Pictorial Charts.PDF

Related Article
Explore at:
pdfAvailable download formats
Dataset updated
Jun 11, 2023
Dataset provided by
Frontiers
Authors
Tobias Rolfes
License

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

Description

This brief research report presents an experiment investigating how people interpret quantities displayed in pictorial charts. Pictorial charts are a popular form of data visualization in media. They represent different quantities with differently scaled pictures. In the present study, 63 university students answered a 12-item questionnaire containing three different pictorial charts. The study aimed to evaluate how individuals perceive the quantities in the pictorial charts intuitively. Therefore, the students’ answers were not rated as correct or incorrect. Instead, it was analyzed which functional relationship between scale factor and estimated quantity best described people’s interpretation of pictorial charts. The experiment showed that, on average, a model assuming a quadratic relationship fitted best. This result deviates from research that found an overgeneralization of linearity when students compare the areas of two mathematically similar shapes. It may be that the routines for the interpretation of pictures differ considerably depending on whether a person must calculate a quantity arithmetically or is prompted to estimate the quantity based on visual perception.

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