Researching and developing non-traditional analytic methods and communications tools for journalism.

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Co-directors:
  • Steve Doig - Tempe
  • Tom Johnson - Santa Fe
  • Steve Ross - Boston
    Fellows:
  • Patrick Mattimore - San Francisco & Geneva, Switzerland
  • John R. Sadd - Boston & Santa Fe
  • George T. Duncan - Pittsburgh, PA & Santa Fe

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  • View Article  Annual meeting of the Assoc. of Public Data Users announcement

    Not cheap, but could be worth a journalist's day in the suburbs of Northern Virginia.

    See http://www.apdu.org/conference/2006/index.htm

    APDU 2006 Annual Conference

    Thu., October 5 - Fri., October 6, 2006
    at the Embassy Suites Hotel
    in Alexandria, Virginia

    The annual APDU conference provides a forum for colleagues to discuss data and public policy issues, keep up with new technologies, and provide input into federal, state, and local data activities. In plenary sessions, APDU 2006 attendees will hear from noted speakers on a variety of critical strategic, technical and policy topics.

    2006 Theme — “Navigating Rivers of Data”

    Communication among data producers, users, and intermediaries is the most effective way to guide the development, expansion, and preservation of data products. In the past year, government data have been important for providing information to the public, informing policy and spurring investment at the local level. Join APDU this year to learn about and discuss issues related to public data.

    For session titles, abstracts, and speakers, see the preliminary agenda. Also, don't overlook the opportunities to network with other public data users and statistical agency officials attending.

    Conference planning is well underway, but if you have a suggestion for speakers for this year or a topic you would like considered for the future, contact program co-chairs Lisa Neidert or Leonard Gaines by phone or email.



    View Article  Something cool for the Excel day-trippers
    OK, OK.  Maybe we've crossed over some line social acceptability, but this is neat addition to the analytic journalist's toolbox.  My friend Mike Collins tips us off to:

    http://www.juiceanalytics.com/weblog/?p=236

    Lightweight data exploration in Excel

    del.icio.us:Lightweight data exploration in Excel digg:Lightweight data exploration in Excel reddit:Lightweight data exploration in Excel Y!:Lightweight data exploration in Excel
    ,

    Lifehacker, delicious folks! This post generated a ton of great community ideas. Check out our followup post to see some more ideas and to download a spreadsheet with demos. Thanks.

    We often are given a chunk of data in Excel that we need to explore. Of course, the first tool you should pull out of your toolbox in cases like this is the trusty PivotTable (it slices, it dices!). But at times we have to dig a little deeper into the toolbox and pull out the in-cell bar chart. Here’s what it looks like.

    In cell bar charts in Excel

    This picture shows some Major League Baseball data. I’m graphing the number of walks each player has taken. The bar graphs are built using the Excel REPT function which lets you repeat text a certain number of times. REPT looks like this:

    =REPT(text,number_of_times)

    For instance, REPT(”X”,10) gives you “XXXXXXXXXX”. REPT can also repeat a phrase; REPT(”Oh my goodness! “,3) gives “Oh my goodness! Oh my goodness! Oh my goodness! ” (my daughter’s an Annie fan).

    For in-cell bar charts, the trick is to repeat a single bar “|”. When formatted in 8 point Arial font, single bars look like bar graphs. Here’s the formula behind the bars:

    The formula behind the bar

    What are some practical uses of in-cell bar graphs? For starters, they offer a good way to profile a dataset that has hundreds or thousands of rows. Here’s a picture of in-cell bars compared to a standard excel bar graph for a dataset with about 500 rows. It can be a lot easier to scan the results when they’re in-cell.

    Exploring tall data with in-cell bar graphsExploring the same data with an Excel bar graph

    Another usage is lightweight dashboards. The report below compares a number of metrics for players using both in-cell bar graphs as well as conditional formatting. The conditional formatting highlights the top 25% of each metric in green and the bottom 25% in red but that is a story for another day.

    The formula behind the bar


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