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  1. 1
    Bloom filter a data structure for computer networking, big data, cloud computing, internet of things, bioinformatics and beyond /

    Bloom filter a data structure for computer networking, big data, cloud computing, internet of things, bioinformatics and beyond / by Patgiri, Ripon, Nayak, Sabuzima, M., Naresh Babu (Muppalaneni)

    Published 2023
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  2. 2
    How data happened : a history from the age of reason to the age of algorithms /

    How data happened : a history from the age of reason to the age of algorithms / by Wiggins, Chris, Jones, Matthew L. (Matthew Laurence), 1972-

    Published 2023
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  3. 3
    Which Inequality Matters? : Growth Evidence Based On Small Area Welfare Estimates In Uganda /

    Which Inequality Matters? : Growth Evidence Based On Small Area Welfare Estimates In Uganda / by Schipper, Youdi

    Published 2005
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  4. 4
    The statistical analysis of small data sets /

    The statistical analysis of small data sets / by Neuhäuser, Markus, Ruxton, Graeme D.

    Published 2024
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  5. 5
    The use of national datasets to produce an average annual water budget for the Mississippi Alluvial Plain, 2000-13.

    The use of national datasets to produce an average annual water budget for the Mississippi Alluvial Plain, 2000-13.

    Published 2019
    Online Access
    Government Document eBook
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  6. 6
    Convolutional neural networks with Swift for TensorFlow image recognition and dataset categorization /

    Convolutional neural networks with Swift for TensorFlow image recognition and dataset categorization / by Koonce, Brett

    Published 2021
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  7. 7
    Data governance : the definitive guide : people, processes, and tools to operationalize data trustworthiness /

    Data governance : the definitive guide : people, processes, and tools to operationalize data trustworthiness / by Eryurek, Evren, Gilʻad, Uri, Lakshmanan, Valliappa, Kibunguchy-Grant, Anita, Ashdown, Jessi

    Published 2021
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  8. 8
    Data management : overview and reading in multiple datasets.

    Data management : overview and reading in multiple datasets.

    Published 2017
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  9. 9
    Data management : homework 2.

    Data management : homework 2.

    Published 2017
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  10. 10
    Working with data.

    Working with data.

    Published 2020
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  11. 11
    Learn to create a diverging bar chart using Python with data from Eurostat (2010) /

    Learn to create a diverging bar chart using Python with data from Eurostat (2010) / by Hildén, Jonatan

    Published 2021
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  12. 12
    Learn to create a radar chart in R with data from Our World in Data (2018) /

    Learn to create a radar chart in R with data from Our World in Data (2018) / by Koivunen-Niemi, Laura

    Published 2021
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  13. 13
    Learn to create a clustered bar chart in SPSS with data from Contraceptive Method Choice Database (1987) /

    Learn to create a clustered bar chart in SPSS with data from Contraceptive Method Choice Database (1987) / by González-García, Nerea, Rochin, Nalia

    Published 2021
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  14. 14
    Learn to create a waterfall chart using Python with data from Bill and Melinda Gates Foundation (2020) /

    Learn to create a waterfall chart using Python with data from Bill and Melinda Gates Foundation (2020) / by Koivunen-Niemi, Laura

    Published 2021
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  15. 15
    Learn to create a high-low chart using Python with data from CoinDesk (2020) /

    Learn to create a high-low chart using Python with data from CoinDesk (2020) / by Koivunen-Niemi, Laura

    Published 2021
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  16. 16
    Learn to create a bar chart using R with data from Our World in Data (2018) /

    Learn to create a bar chart using R with data from Our World in Data (2018) / by Hildén, Jonatan

    Published 2021
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  17. 17
    Learn to create a stacked bar chart using R with data from Our World in Data (2018) /

    Learn to create a stacked bar chart using R with data from Our World in Data (2018) / by Hildén, Jonatan

    Published 2021
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  18. 18
    Learn to create word bubbles using Python and text from Charles Darwiń€™s Work (1881) /

    Learn to create word bubbles using Python and text from Charles Darwiń€™s Work (1881) / by Koivunen-Niemi, Laura

    Published 2021
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  19. 19
    Tweaking data.

    Tweaking data.

    Published 2015
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  20. 20
    Analysing behavioural sequences of online learners : lag sequential analysis using GSEQ /

    Analysing behavioural sequences of online learners : lag sequential analysis using GSEQ / by Li, Shao-Chi, active 2022, Chen, Ken-Zen

    Published 2022
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