25 datasets found
  1. f

    Data from: Translating statistical information given in other registers into...

    • scielo.figshare.com
    tiff
    Updated May 31, 2023
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    José António Fernandes; Paula Maria Barros (2023). Translating statistical information given in other registers into the tabular register: a study with prospective teachers of the first school years [Dataset]. http://doi.org/10.6084/m9.figshare.22774625.v1
    Explore at:
    tiffAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELO journals
    Authors
    José António Fernandes; Paula Maria Barros
    License

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

    Description

    Abstract This article deals with the problem of translating statistical information given in other registers into the tabular register, from the following two objectives: 1) to study the performance of prospective teachers in translating information given in the other registers into the tabular register; and 2) to compare the performance of future teachers in the different translations. The study included 30 students, future teachers of the first school years, who were attending the 1st or 2nd year of the Degree in Basic Education, at a Higher Education School in the north of Portugal. The data of the present study were obtained through the answers given by the students to four questions, which required the translation of statistical information given in the graphic, numeric-verbal and simple data list register into the tabular register. In terms of results, it is noteworthy that students were more successful in building the simple frequency tables than in building the two two-way tables and the data table grouped into class intervals, the latter being the one that proved to be the most difficult. These results, related to the translation of different registers into the tabular register, are the main contribution of the study and imply that the prospective teachers must deepen their skills of tabular representation.

  2. Survey on usage frequency of food/shopping list apps in Norway 2016

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Survey on usage frequency of food/shopping list apps in Norway 2016 [Dataset]. https://www.statista.com/statistics/795545/survey-on-usage-frequency-of-food-shopping-list-apps-in-norway/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 19, 2017 - May 31, 2017
    Area covered
    Norway
    Description

    This statistic displays the result of a survey on the usage frequency of food or shopping list apps in Norway in 2016. During the survey period, ** percent of respondents in Norway stated never to be using food or shopping list apps when grocery shopping, while ** percent answered that they use food or shopping list apps from time to time.

  3. T

    Frequency statistics of sudden geological disasters in Qinghai Province...

    • data.tpdc.ac.cn
    • tpdc.ac.cn
    zip
    Updated Jan 7, 2021
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    of Department (2021). Frequency statistics of sudden geological disasters in Qinghai Province (2011-2016) [Dataset]. https://data.tpdc.ac.cn/en/data/1153e805-a9d5-43a4-afda-0040c0409b86
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    zipAvailable download formats
    Dataset updated
    Jan 7, 2021
    Dataset provided by
    TPDC
    Authors
    of Department
    Area covered
    Description

    The data set records the frequency statistics of typical geological disasters in Qinghai Province from 2011 to 2016. The data is collected from the Department of ecological environment of Qinghai Province. The data set contains six data tables, which are: the frequency of sudden geological disasters in 2011, 2012, 2013, 2014 and 2015 Statistical table, 2016 Qinghai Province sudden geological disasters frequency statistical table, data table structure is the same. There are two fields in each data table, such as the occurrence frequency of sudden geological disasters in 2011: Field 1: Location Field 2: frequency ratio

  4. G

    Internet use at home, by age group and frequency of use

    • open.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). Internet use at home, by age group and frequency of use [Dataset]. https://open.canada.ca/data/en/dataset/90cb2857-9e53-408a-9b73-5d58812ff230
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    csv, html, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Canadian Internet use survey, Internet use at home, by age group and frequency of use, for Canada from 2005 to 2009. (Terminated)

  5. e

    2020 Police crime statistics — Basic table Frequency number per crime class

    • data.europa.eu
    csv, pdf
    + more versions
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    Bundeskriminalamt, IZ 35, 2020 Police crime statistics — Basic table Frequency number per crime class [Dataset]. https://data.europa.eu/data/datasets/77f6238b-4b62-4bf6-b8ab-bb034d4681eb?locale=en
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    pdf, csvAvailable download formats
    Dataset authored and provided by
    Bundeskriminalamt, IZ 35
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Description

    Information Crime Charge-HZ (total HZ- breakdown by offence — HZ by crime class)

  6. 2017 Police crime statistics — Basic table Frequency number per crime class

    • data.europa.eu
    csv, pdf
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    Bundeskriminalamt, IZ 35, 2017 Police crime statistics — Basic table Frequency number per crime class [Dataset]. https://data.europa.eu/data/datasets/4db86e27-a76f-4d0c-8544-05906323da18
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    csv, pdfAvailable download formats
    Dataset provided by
    Federal Criminal Police Officehttp://www.bka.de/
    Authors
    Bundeskriminalamt, IZ 35
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Description

    Information on cases (total number of offences broken down by crime class)

  7. f

    Median values and interquartile ranges from all statistical tests.

    • figshare.com
    docx
    Updated Jun 1, 2023
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    Andreas Voss; Rico Schroeder; Andreas Heitmann; Annette Peters; Siegfried Perz (2023). Median values and interquartile ranges from all statistical tests. [Dataset]. http://doi.org/10.1371/journal.pone.0118308.s001
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    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Andreas Voss; Rico Schroeder; Andreas Heitmann; Annette Peters; Siegfried Perz
    License

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

    Description

    Table A: Descriptive statistics for linear HRV indices according to Tests I considering females and males each for two different age cluster 25–49 years and 50–74 years. Table B: Descriptive statistics for nonlinear HRV indices according to Tests I considering females and males each for two different age cluster 25–49 years and 50–74 years. Table C: Descriptive statistics for linear HRV indices according to Tests II considering female subjects divided into five different age decades 25–34, 35–44, 45–54, 55–64 and 65–74 years. Table D: Descriptive statistics for nonlinear HRV indices according to Tests II considering female subjects divided into five different age decades 25–34, 35–44, 45–54, 55–64 and 65–74 years. Table E: Descriptive statistics for linear HRV indices according to Tests II considering male subjects divided into five different age decades 25–34, 35–44, 45–54, 55–64 and 65–74 years. Table F: Descriptive statistics for nonlinear HRV indices according to Tests II considering male subjects divided into five different age decades 25–34, 35–44, 45–54, 55–64 and 65–74 years. (DOCX)

  8. f

    High-frequency vocabulary list of related policy texts in Hubei Province.

    • plos.figshare.com
    xls
    Updated Jul 5, 2024
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    Jiancheng Li (2024). High-frequency vocabulary list of related policy texts in Hubei Province. [Dataset]. http://doi.org/10.1371/journal.pone.0306535.t003
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    xlsAvailable download formats
    Dataset updated
    Jul 5, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Jiancheng Li
    License

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

    Area covered
    Hubei
    Description

    High-frequency vocabulary list of related policy texts in Hubei Province.

  9. f

    Assessment of the normality assumption and the homogeneity of variances...

    • plos.figshare.com
    xls
    Updated Apr 18, 2024
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    Anthony Kwabena Nkyi; Jerry Paul K. Ninnoni (2024). Assessment of the normality assumption and the homogeneity of variances assumption for ANOVAs. [Dataset]. http://doi.org/10.1371/journal.pone.0299391.t008
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    xlsAvailable download formats
    Dataset updated
    Apr 18, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Anthony Kwabena Nkyi; Jerry Paul K. Ninnoni
    License

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

    Description

    Assessment of the normality assumption and the homogeneity of variances assumption for ANOVAs.

  10. Survey on usage frequency of food/shopping list apps in Norway 2016, by...

    • statista.com
    Updated Jul 11, 2025
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    Statista, Survey on usage frequency of food/shopping list apps in Norway 2016, by gender [Dataset]. https://www.statista.com/statistics/795560/survey-on-usage-frequency-of-food-shopping-list-apps-in-norway-by-gender/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 19, 2017 - May 31, 2017
    Area covered
    Norway
    Description

    This statistic displays the result of a survey on the usage frequency of food/shopping list apps in Norway in 2016, by gender. During the survey period, ** percent of male respondents in Norway stated never to be using food or shopping list apps when grocery shopping, whereas ** percent of female respondents answered that they use food or shopping list apps from time to time.

  11. Frequency of using Twitter among users in France 2019

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Frequency of using Twitter among users in France 2019 [Dataset]. https://www.statista.com/statistics/996089/use-frequency-twitter-france/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 22, 2019 - Apr 1, 2019
    Area covered
    France
    Description

    This bar chart displays the frequency at which French having a Twitter account used the social media in 2019. It appears that ** percent of the respondents stated using Twitter daily or almost daily, while ***** percent never used the social network.

  12. Frequency of adults dining out at restaurants in the U.S. 2023, by...

    • statista.com
    Updated May 23, 2025
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    Statista (2025). Frequency of adults dining out at restaurants in the U.S. 2023, by restaurant type [Dataset]. https://www.statista.com/statistics/1402019/eating-out-frequency-restaurants-us/
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    Dataset updated
    May 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2023
    Area covered
    United States
    Description

    An April 2023 survey asked adults in the United States how frequently they dined out at restaurants compared to six months prior. In all restaurant categories shown, the highest share of respondents stated that they ate out less than they did half a year ago. Full service restaurants saw the lowest share of respondents that said they ate out more, at 13 percent. Meanwhile, fast food chains had the highest share of respondents saying this at 17 percent.

    How much do consumers spend on fast food restaurants in the U.S.?

    Fast food restaurants, also known as quick service restaurants (QSRs), are characterized by their limited menus, minimal table service and, as their name implies, fast service. In 2022, consumer spending in the QSR sector in the U.S. reached an all-time high of approximately 320 billion U.S. dollars. The sector experienced near year-over-year growth since 2004; however, there was a notable decline in consumer spending in 2020 because of stay-at-home measures during the coronavirus (COVID-19) pandemic.

    What is the highest rated fast food chain in the U.S.?

    The American Customer Satisfaction Index (ACSI) scores on a 0-100 scale at the national level with 100 being the highest and best possible score. The ACSI is an economic indicator based on modeling of customer evaluations of the quality of goods and services purchased in the United States and produced by both domestic and foreign firms with substantial U.S. market shares. In 2023, the fast food chain with the highest ACSI score in the U.S. was Chick-fil-A. The popular chicken sandwich chain scored 85 out of 100 that year.

  13. Annual frequency of barbecues in France 2016

    • statista.com
    Updated Jun 13, 2016
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    Statista (2016). Annual frequency of barbecues in France 2016 [Dataset]. https://www.statista.com/statistics/785680/barbecue-frequency-annual-france/
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    Dataset updated
    Jun 13, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 10, 2016 - May 16, 2016
    Area covered
    France
    Description

    This bar chart shows the annual frequency of barbecues in France in 2016. More than 30 percent of respondents had between 12 and 24 barbecues a year, compared to five percent who made more than 50 barbecues.

  14. Frequency of ventilation fan and range hood cleaning in Japan 2021

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Frequency of ventilation fan and range hood cleaning in Japan 2021 [Dataset]. https://www.statista.com/statistics/1241706/japan-extractor-fan-range-hood-cleaning-frequency/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 15, 2021 - Mar 18, 2021
    Area covered
    Japan
    Description

    According to a survey conducted in March 2021, the majority of respondents in Japan, close to ** percent, claimed to clean their ventilation fan and range hood about once a year. Nearly ten percent of participants admitted to not clean their extractor at all.

  15. Frequency of UK consumers checking a food product's list of ingredients in...

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Frequency of UK consumers checking a food product's list of ingredients in 2020 [Dataset]. https://www.statista.com/statistics/1259213/frequency-of-uk-consumers-checking-list-of-ingredients/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 29, 2020 - Oct 6, 2020
    Area covered
    United Kingdom
    Description

    In 2020, just over four in ten consumers in the United Kingdom said they occasionally check the list of ingredients when shopping for food products. Only about ** percent of UK grocery shoppers would always or usually analyze a product's list of ingredients.

  16. Book reading frequency worldwide 2017

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Book reading frequency worldwide 2017 [Dataset]. https://www.statista.com/statistics/696916/book-reading-frequency-worldwide/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2017
    Area covered
    Worldwide
    Description

    This graph depicts the frequency of reading books worldwide in 2017. During the survey, ** percent of respondents stated that they read every day or most days.

  17. Frequency of consumers of 'Tomato Ketchup And Other Table Sauces' in GB in...

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Frequency of consumers of 'Tomato Ketchup And Other Table Sauces' in GB in 2023 [Dataset]. https://www.statista.com/statistics/301735/tomato-ketchup-usage-frequency-in-the-uk/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United Kingdom (Great Britain)
    Description

    The frequency groups with the most consumers of 'Tomato Ketchup And Other Table Sauces' in Great Britain in 2023 were '2 - 3 times a week' with ********* , followed by 'Less than once a week' with ******** and 'Once a week' with *********.

  18. Frequency of using a shopping list when grocery shopping in Poland 2019

    • statista.com
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    Statista, Frequency of using a shopping list when grocery shopping in Poland 2019 [Dataset]. https://www.statista.com/statistics/1128370/poland-frequency-of-grocery-shopping-list-use/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Poland
    Description

    In 2019, a total share of *** percent of Poles admitted that they did not use shopping lists when doing their grocery shopping.

  19. Cannabis usage frequency U.S. 2020

    • statista.com
    Updated Nov 22, 2022
    + more versions
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    Statista (2022). Cannabis usage frequency U.S. 2020 [Dataset]. https://www.statista.com/statistics/1061187/us-frequency-of-current-consumers-cannabis-use/
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    Dataset updated
    Nov 22, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 21, 2020 - Sep 30, 2020
    Area covered
    United States
    Description

    The most common usage frequency among cannabis consumers in the United States in 2020 was once every day or two. Once a week to once a month was the least common usage frequency.

  20. Variable frequency drive market size worldwide 2016-2021

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Variable frequency drive market size worldwide 2016-2021 [Dataset]. https://www.statista.com/statistics/709057/global-variable-frequency-drive-market-size/
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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 graph displays the global variable frequency drive (VFD) market size in 2016, and gives a projection for 2021. The global variable frequency drive market was sized at around **** billion U.S. dollars in 2016.

Share
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Click to copy link
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Close
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José António Fernandes; Paula Maria Barros (2023). Translating statistical information given in other registers into the tabular register: a study with prospective teachers of the first school years [Dataset]. http://doi.org/10.6084/m9.figshare.22774625.v1

Data from: Translating statistical information given in other registers into the tabular register: a study with prospective teachers of the first school years

Related Article
Explore at:
tiffAvailable download formats
Dataset updated
May 31, 2023
Dataset provided by
SciELO journals
Authors
José António Fernandes; Paula Maria Barros
License

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

Description

Abstract This article deals with the problem of translating statistical information given in other registers into the tabular register, from the following two objectives: 1) to study the performance of prospective teachers in translating information given in the other registers into the tabular register; and 2) to compare the performance of future teachers in the different translations. The study included 30 students, future teachers of the first school years, who were attending the 1st or 2nd year of the Degree in Basic Education, at a Higher Education School in the north of Portugal. The data of the present study were obtained through the answers given by the students to four questions, which required the translation of statistical information given in the graphic, numeric-verbal and simple data list register into the tabular register. In terms of results, it is noteworthy that students were more successful in building the simple frequency tables than in building the two two-way tables and the data table grouped into class intervals, the latter being the one that proved to be the most difficult. These results, related to the translation of different registers into the tabular register, are the main contribution of the study and imply that the prospective teachers must deepen their skills of tabular representation.

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