Second post in the series is for the BBC’s infographics.

The image show us the table divided by categories of Nobel Prize.

The remarkable feature of it is the bottom row providing us with the summary, named “The Winning Formula.”

This has similar appearance for equation of linear models that used broadly in data-mining and statistics, unless the formula on the picture has no confounding effects across the factors, and no weights contributed to the formula.

But I often find that the integrating each factor with plus, is not only mathematical way to shorten information, but also is a effective way to show people its summary. I mean, the form of “formula” is one of the visual cue whom people commonly have.

When look at the image closely, it holds a few factors that what might give us the topics for tomorrow’s launch. The attribution like “marriage”, “glasses”, and “facial hair” don’t produce, by itself, important knowledge for winning of Nobel Prize, but it evoke our brains to think about what kinds of people the laureates of Nobel Prizes are, through the appearance or situation.

And I think the next steps for a better usage of the data is joining those factor with another data, like relating facial hair to cultural differences, marriage to psychological pressure, glasses to time of reading books — to possible external relationships.

To do this, we need the dataset that made the infographics. Those data apparently came from official Nobleprize.org and Times Higher Education World University Rankings, and raw table sheet is here.