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Web 2.0 toolbox for data journalism

Discover a range of web tools for data journalism, including getting and sharing, cleaning, analyzing, and visualizing data. Benefits include no need to buy software, easy data accessibility, and the ability to share globally. Drawbacks involve potential loss of data control and legal constraints. Explore platforms like MuckRock, OpenRefine, Google Spreadsheets, and Many Eyes for a seamless data journalism experience.

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Web 2.0 toolbox for data journalism

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  1. Web 2.0 toolboxfor data journalism Thanks to David Herzog Missouri School of Journalism and NICAR

  2. Tools for every step • Getting and sharing • Cleaning • Analyzing • Visualizing and mapping

  3. Benefits • Don’t have to buy/license your own software • No software to install (for the most part) • Web service hosts data • Data accessible • Can share with the world

  4. Drawbacks • Give up control of data • Read the terms of service • Legal constraints • Data might be public • Downtime for web applications • Services go out of business/lose traction • Poor documentation and clunky user interfaces

  5. Get and share data

  6. MuckRock.com

  7. WhatDoTheyKnow.com

  8. Data.Medicare.gov

  9. www.data.gov

  10. APIs – NYT Developer Network

  11. DocumentCloud.org

  12. ScraperWiki.com

  13. Cometdocs.com

  14. Zamzar.com

  15. Clean your data

  16. OpenRefine.org/

  17. vis.stanford.edu/wrangler/

  18. Analyze your data

  19. Google Spreadsheets

  20. Statwing.com

  21. AnalyzeThe.Us

  22. Visualize your data

  23. Many Eyes (google it)

  24. Tableau Public (tableausoftware.com/public)

  25. Datawrapper.de

  26. Infogr.am

  27. Dipity.com

  28. TimeFlowgithub.com/FlowingMedia/TimeFlow/downloads

  29. Timeline.js

  30. Muckety.com

  31. Google.com/publicdata

  32. Gapminder.org

  33. Support.Google.com/FusionTables

  34. Wordle.net

  35. Map your data

  36. BatchGeo.com

  37. Maps.Google.com

  38. Geocommons.com

  39. Questions?

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