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Data Collection Problems

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The Decision Maker's Handbook to Data Science

Abstract

Like with any task, data collection comes with its share of problems that can lead to issues further down the line. While the following list of issues is by no means exhaustive, it does encompass the most common problems that arise in data collection.

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Notes

  1. 1.

    https://eugdpr.org/

  2. 2.

    The W3 schools site has a great tutorial on JSON www.w3schools.com/js/js_json_syntax.asp and XML www.w3schools.com/xml/

  3. 3.

    www.bvdinfo.com/en-us/our-products/company-information/international-products/orbis

  4. 4.

    www.optasports.com/

  5. 5.

    www.stats.com/

  6. 6.

    Read more about social media analytics here: http://thedatascientist.com/social-media-analytics-buzz/

  7. 7.

    https://en.wikipedia.org/wiki/NoSQL#Types_and_examples_of_NoSQL_databases

  8. 8.

    www.mysql.com/

  9. 9.

    More information about recommender systems: http://thedatascientist.com/right-way-recommender-system-startup/

  10. 10.

    https://theblog.okcupid.com/a-digital-decade-sex-c95e6fb6296b

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© 2020 Stylianos Kampakis

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Kampakis, S. (2020). Data Collection Problems. In: The Decision Maker's Handbook to Data Science. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5494-3_3

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