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Top Ten #ddj: The Week’s Most Popular Data Journalism Links

by GIJN and Connected Action • December 10, 2014

What’s the data driven journalism (#ddj) crowd tweeting about? Here are the week’s Top Data Journalism Links on Twitter (for December 1-9), including items from Stimme.de, Arnaud Wery, Datawrapper, The Economist, and m0le.net.

Thanks to Marc Smith of Connected Action for gathering the links and graphing them.

Stimme.de: Operation Sawfish — The Bombing of Heilbronns

The Economist: The Quick and the Dead

Arnaud Wery: Les 3 premiers mois très productifs de Jean Abbiateci à la rédaction du « Temps »

Datenjournalist: Data Journalism in November 2014

m0le.net: Autopsie d’une dataviz

Detective.io: A tool for collaborative network analysis

Taz.de: Endlich frei

DataWrapper: New Usage Guidelines

Arnaud Wery: Comment Le Temps (Suisse) développe ses projets de datajournalisme

Clean-sheet.org: Releasing data or statistics in spreadsheets

For a look at Marc Smith’s graphing on #ddj on Twitter check out this map:

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<h2>Top Ten #ddj: The Week&rsquo;s Most Popular Data Journalism Links</h2><p class="byline"> <span>by</span> <span>GIJN and Connected Action</span> <span>for Global Investigative Journalism Network</span> <span>&bull; December 10, 2014</span> </p><p>What's the data driven journalism (#ddj) crowd tweeting about? Here are the week's Top Data Journalism Links on Twitter (for December 1-9), including items from Stimme.de, Arnaud Wery, Datawrapper, The Economist, and&nbsp;m0le.net.</p><p>Thanks to&nbsp;<a href="http://twitter.com/marc_smith/" target="_blank" rel="nofollow noopener noreferrer">Marc Smith</a>&nbsp;of Connected Action for&nbsp;<a href="http://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=35048">gathering the links and graphing them.</a></p><hr><h5><a href="http://sawfish.stimme.de">Stimme.de: Operation Sawfish -- The Bombing of Heilbronns&nbsp;</a></h5><p><a href="http://sawfish.stimme.de"><img class="aligncenter wp-image-4286 size-large" src="https://gijn.org/wp-content/uploads/2014/12/Sawfish-771x357.png" alt="Sawfish" width="771" height="357"></a></p><hr><h5><a href="http://www.economist.com/blogs/graphicdetail/2014/12/new-data-visualisations">The Economist: The Quick and the Dead</a></h5><p><a href="http://www.economist.com/blogs/graphicdetail/2014/12/new-data-visualisations"><img class="aligncenter wp-image-4287" src="https://gijn.org/wp-content/uploads/2014/12/Economist-771x686.png" alt="Economist" width="668" height="594"></a></p><hr><h5><a href="https://arnaudwery.wordpress.com/2014/12/04/les-3-premiers-mois-tres-productifs-de-jean-abbiateci-a-la-redaction-du-temps/">Arnaud Wery: Les 3 premiers mois tr&egrave;s productifs de Jean Abbiateci &agrave; la r&eacute;daction du &laquo; Temps &raquo;</a></h5><h5><del><a href="https://arnaudwery.wordpress.com/2014/12/04/les-3-premiers-mois-tres-productifs-de-jean-abbiateci-a-la-redaction-du-temps/"><img class="aligncenter wp-image-4288" src="https://gijn.org/wp-content/uploads/2014/12/Arnaud1-771x652.png" alt="Arnaud1" width="617" height="522"></a></del></h5><hr><h5><a href="http://datenjournalist.de/datenjournalismus-im-november-2014/">Datenjournalist:&nbsp;Data Journalism in November&nbsp;2014</a></h5><p><a href="http://datenjournalist.de/datenjournalismus-im-november-2014/"><img class="aligncenter wp-image-4289" src="https://gijn.org/wp-content/uploads/2014/12/Datenjournalist-771x416.png" alt="Datenjournalist" width="578" height="311"></a></p><hr><h5><a href="http://blog.m0le.net/category/episode/autopsie-dune-dataviz/">m0le.net:&nbsp;Autopsie d&rsquo;une dataviz</a></h5><p><a href="http://blog.m0le.net/category/episode/autopsie-dune-dataviz/"><img class="aligncenter wp-image-4290" src="https://gijn.org/wp-content/uploads/2014/12/Arnaud2.png" alt="Arnaud2" width="525" height="529"></a></p><p>&nbsp;</p><hr><h5>&nbsp;<a href="https://www.detective.io">Detective.io:&nbsp;A tool for collaborative network analysis</a></h5><p><a href="https://www.detective.io"><img class="aligncenter wp-image-4293" src="https://gijn.org/wp-content/uploads/2014/12/Detective.io_2-771x382.png" alt="Detective.io" width="571" height="283"></a></p><hr><h5><a href="http://www.taz.de/1/archiv/print-archiv/printressorts/digi-artikel/?ressort=fl&amp;dig=2014/12/06/a0178&amp;cHash=b3b7dcffe98281a8c744e31084b91f47">Taz.de:&nbsp;Endlich frei</a></h5><p><a href="http://www.taz.de/1/archiv/print-archiv/printressorts/digi-artikel/?ressort=fl&amp;dig=2014/12/06/a0178&amp;cHash=b3b7dcffe98281a8c744e31084b91f47"><img class="aligncenter wp-image-4295" src="https://gijn.org/wp-content/uploads/2014/12/taz1-771x369.png" alt="taz" width="633" height="303"></a></p><p>&nbsp;</p><hr><h5><a href="http://blog.datawrapper.de/2014/new-usage-guidelines-for-datawrapper/">DataWrapper: New Usage Guidelines</a></h5><h5><a href="http://blog.datawrapper.de/2014/new-usage-guidelines-for-datawrapper/"><img class="aligncenter wp-image-4296" src="https://gijn.org/wp-content/uploads/2014/12/Datawrapper-771x433.png" alt="Datawrapper" width="586" height="329"></a></h5><hr><h5><a href="https://arnaudwery.wordpress.com/2014/12/08/comment-le-temps-suisse-developpe-des-projets-de-datajournalisme/">Arnaud Wery: Comment Le Temps (Suisse) d&eacute;veloppe ses projets de datajournalisme</a></h5><h5><a href="https://arnaudwery.wordpress.com/2014/12/08/comment-le-temps-suisse-developpe-des-projets-de-datajournalisme/"><img class="aligncenter wp-image-4298" src="https://gijn.org/wp-content/uploads/2014/12/Arnaud2-771x489.jpg" alt="Arnaud2" width="550" height="349"></a></h5><hr><h5><a href="http://www.clean-sheet.org/">Clean-sheet.org: Releasing data or statistics in spreadsheets</a></h5><p><a href="http://www.clean-sheet.org/"><img class="aligncenter wp-image-4299" src="https://gijn.org/wp-content/uploads/2014/12/CleanSheet-771x433.png" alt="CleanSheet" width="675" height="379"></a></p><hr><p>For a look at Marc Smith&rsquo;s graphing on&nbsp;<a class="tweet-url hashtag" title="#ddj" href="https://twitter.com/#!/search?q=%23ddj" target="_blank" rel="nofollow noopener noreferrer">#ddj</a>&nbsp;on Twitter check out this map:<br><a href="https://gijn.org/wp-content/uploads/2014/12/Smith1.png"><img class="aligncenter size-large wp-image-4300" src="https://gijn.org/wp-content/uploads/2014/12/Smith1-771x558.png" alt="Smith1" width="771" height="558"></a><br><br><br><br><br></p><p>
	This <a target="_blank" href="https://gijn.org/stories/top-ten-ddj-the-weeks-most-popular-data-journalism-links-37/">article</a> first appeared on <a target="_blank" href="https://gijn.org">Global Investigative Journalism Network</a> and is republished here under a Creative Commons license.
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Stories

Topics

Top Ten #ddj: The Week’s Most Popular Data Journalism Links

Stimme.de: Operation Sawfish — The Bombing of Heilbronns

The Economist: The Quick and the Dead

Arnaud Wery: Les 3 premiers mois très productifs de Jean Abbiateci à la rédaction du « Temps »

Datenjournalist: Data Journalism in November 2014

m0le.net: Autopsie d’une dataviz

Detective.io: A tool for collaborative network analysis

Taz.de: Endlich frei

DataWrapper: New Usage Guidelines

Arnaud Wery: Comment Le Temps (Suisse) développe ses projets de datajournalisme

Clean-sheet.org: Releasing data or statistics in spreadsheets

Republish this article

Read Next

Data Journalism Teaching & Training

Test Your Data Visualization Skills With GIJN’s Latest Quiz

Data Journalism Reporting Tools & Tips

Using Data Sources to Track Harmful Climate Crisis-Fueled Algal Blooms

Data Journalism LATAM Focus News & Analysis

‘Shining a Light Where There Are Shadows’: Latin American Outlets Innovating With Data

Data Journalism Getting the Story Out

How to Investigate When the State Conceals Data: Lessons from Belarus

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Top Ten #ddj: The Week’s Most Popular Data Journalism Links

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Related Resources

Step-By-Step Guide for Journalists on the Basics of Google Sheets

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