Professional Resume or Data Visualization Fail? [poll]

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Michael Anderson,  a web designer has posted this delicious looking visual resume [full image]

While the resume looks stunning at a glance, a closer inspection reveals that you cant really make any valuable conclusions about Michael’s past experience and qualifications. Of course if the purpose of this resume is to show that he is a fabulous designer, then the resume definitely achieved that. It has got way better presentation that lots of professional resumes out there.

It uses some of the more flamboyant and often avoided chart types like area chart, 3d area chart and a 3d donut area chart (oh dear God !)

Here are few things that I think are wrong with this data visualization:

  • In-consistent color: The colors don’t convey any particular message. Especially, given the fact that he repeated the colors. Same color means coffee, layout design and sign-shop work experience. One of the primary rules of data visualization in dashboards is to use color for repetition. For eg. using one color for each product.
  • Poor choice of charts: While 3d charts look great, they are not the best ones to describe real information. Instead of 3d area charts and 3d donut area charts, a better choice would have been to use bar charts. They are simple, elegant and convey rich information very easily. Hey, you can make eye candy using bars too.
  • Irrelevant Data: If I am someone planning to hire Michael, I would definitely be more interested in what great kickass stuff he has done (and I am sure he has done stuff like that, looking at this) than how much coffee he takes each day (and still I cant figure out how many cups he drinks, thanks to weird chart selection)
  • Not showing the numbers: As Anderson said in his post “[T]his is just concept art, as there are almost no real metrics represented except for time.” and I guess, this comment doesn’t apply. We all know that resumes work well, when they talk numbers (made 500 XHTML compatible pages in 50 hours, 25 magazine cover designs, 500k downloads for my icon library etc.), unfortunately Michael missed on that totally. One can assume any number of things about his work in “the sign shop” or “Comor inc.”

What are your thoughts on this data visualization? Awesome or awful ?

Thanks to Manoj for sharing the link via e-mail

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11 Responses to “Who is the most consistent seller? [BYOD]”

  1. Hui... says:

    The Date column in the sample file is Text not Dates

  2. Great Chandoo. Keep it up, Looking forward more from BYOD..

  3. gayani says:

    Thanks

  4. Frank Tonsen says:

    With Excel 2013 the pivot table could be connected to the data model which provides a distinct count.

  5. Mak says:

    This will do for invoice count
    =COUNTIF(F:F,H12)
    Instead of
    =COUNTIFS(sales[SELLER],$H12)

  6. Alejandro says:

    Excellent document. How did you make the last graphic? Witch app. Thanks for answer.

  7. Chris says:

    Can someone tell me what =countif(sales[date],sales[date]) is counting? The value is 19. Its found in the =SUMPRODUCT(IF(sales[SELLER]=H12,1/COUNTIFS(sales[SELLER],H12,sales[date],sales[date]),0))

    • Vândalo says:

      Hi Chris,

      =countif(sales [date],sales[date]) function is counting the unique dates in the table.

      Vândalo

  8. Nguyen says:

    Excellent document!

    Can you explain more about the calculation on Weighted consistency? More specific the small number is 0,00001 ?

    How come the number should be smaller if there is more sellers?

  9. TS says:

    Hi,

    Not understood this formula: {=SUMPRODUCT(IF(sales[SELLER]=H12,1/COUNTIFS(sales[SELLER],H12,sales[date],sales[date]),0))}

    Please explain.

    Thanks.

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