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Sourcing Data

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Practical D3.js

Abstract

The previous three chapters covered the basics of perception, how D3 talks to the web and how not to lie with your data visualizations. This chapter introduces you to the incredibly diverse world of data and aims to provide you with ways to navigate it.

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Notes

  1. 1.

    http://opendatainception.io/.

  2. 2.

    Source: https://www.jasondavies.com/mobile-lawsuits/.

  3. 3.

    Source: http://bl.ocks.org/mbostock/1153292.

  4. 4.

    See, for example, https://www.ushahidi.com/blog/2015/05/21/beyond-voting-using-ushahidi-to-help-citizens-protect-their-elections and http://www.localinterventions.org.uk/programmes.php?post=22 .

  5. 5.

    http://crowdcrafting.org/project/airquality/ .

  6. 6.

    https://github.com/mbostock/d3/wiki/Selections

  7. 7.

    https://bost.ocks.org/mike/selection/ .

  8. 8.

    https://github.com/mbostock/d3/wiki/Requests .

  9. 9.

    https://github.com/mbostock/d3/wiki/CSV .

  10. 10.

    http://www.jeromecukier.net/blog/2012/05/28/manipulating-data-like-a-boss-with-d3/ .

  11. 11.

    https://github.com/mbostock/topojson/wiki .

  12. 12.

    https://github.com/mbostock/queue .

  13. 13.

    http://learnjsdata.com/combine_data.html .

  14. 14.

    https://github.com/lovasoa/toutf8/tree/master .

  15. 15.

    http://openrefine.org/ .

  16. 16.

    http://fivethirtyeight.com/features/science-isnt-broken/ .

Author information

Authors and Affiliations

  1. Amsterdam, The Netherlands

    Tarek Amr

  2. Issy-les-Moulineaux, Paris, France

    Rayna Stamboliyska

Authors
  1. Tarek Amr
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  2. Rayna Stamboliyska
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© 2016 Tarek Amr and Rayna Stamboliyska

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Amr, T., Stamboliyska, R. (2016). Sourcing Data. In: Practical D3.js. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-1928-7_4

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