Home > Posts > Arabic unrest prediction – interactive data exploration by The Economist

Arabic unrest prediction – interactive data exploration by The Economist

http://media.economist.com/sites/default/files/media/2011InfoG/Interactive/ShoeThrowers0314/main.swf

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  1. CASE Jacques A.
    2011/04/02 at 16:50

    Sat 02 Apr 11
    1) Are you related to Kimon Birbilis, an old friend of mine?
    2) I have written what is now an 11000+ dictionary and I am interested in concatenating my WORD files (with cross-file concatenation of my numbered entries). Can you help?

  2. 2011/06/11 at 00:00

    Hi Jacques, have tried contacting you via e-mail with no success. Could help, have you checked http://zoomicon.com/tranxform and the Word files concatenation tool (DOCmerge) I have there?

  3. JC
    2011/07/28 at 21:03

    Hello,
    I’m working on something similar for my Criminolgy thesis, and i was wondering if there is an article coming with this interesting board?
    I’m using logistic regressions on different categories of riots, around the world.
    Since i’m here, do you know where I can find a reliable database about the number of riots in the world, between 2000 and 2010?
    Thank you in advance.

  4. 2011/08/12 at 01:45

    Hi, checkout the video at

    http://www.economist.com/blogs/multimedia/2011/02/unrest_arab_world

    and the interactive chart at

    http://www.economist.com/blogs/dailychart/2011/03/arab_unrest_0

    Move the sliders to ascribe different weightings to the various indicators that may influence instability (since the values shown are rounded, they may not always add up to exactly 100). Lock individual sliders by clicking the checkboxes. Roll over the chart to see indicators for each country.

    Sources: Economist Intelligence Unit; UN; Transparency International;
    Freedom House; The Economist

    copying from there too:

    An interactive index of unrest in the Arab world

    SINCE our “shoe-thrower’s index” was published on February 9th, Bahrain and, most prominently, Libya, have continued to witness further unrest and demand for regime change. The index attempted to predict where trouble across the Arab world was most likely to arise by applying a subjective weighting to factors such as the length of time the leader had been in power, GDP per person and the level of democracy. We have added two further indicators that were not included in the original—the adult literacy rate and the percentage of people who are internet users—and made the whole index interactive. You can apply your own weightings to each variable to see which country may be the next to experience political upheaval. The index is presented with the weights used in the original version, but differs slightly from that version as some figures have been updated.

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