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Subtitle:  Waxing Data Visually

Data visualization (DV) has been with us for a little while now.  DV frees us from standard pie charts and bar graphs that are prevalent these days.  By representing data in new ways, we stimulate a means for which new ideas and conclusions can occur.

One of the first visual representation was done by Martin Wattenberg, who represented the stock market on the web in a ground breaking manner. Go to Jeff Clark’s site who continues to present data in innovative new ways.

Twitter Venn

The below picture captures the terms ‘Latino’ + ‘Hispanic’ + ‘Mexican.’  I’ve done this for self-amusement several times and the results are always the same:  Latino is always present double or more than Hispanic, and the term Mexican surpasses both terms on Twitter.

More interesting are the most used terms associated with each labeled sphere.  If you click each sphere, the bottom left  presents  common terms.  You can get a feel for some of the conversations that may be occurring – you’ll be surprised by what you see.

Twitter Spectrum

Twitter Spectrum compares the relationship between two terms and how they are associated with one another.

I’ve plugged in the terms ‘Latino’ and ‘Hispanic.’  It’s a little funny to see the term ‘lol’ fall right between them…’health,’ ‘census’ and ‘marketing’ are other notables.

With no doubt, I am sure many of you have already seen these technologies.  What I wanted to accomplish in this post is one of the ways I use these techniques to challenge some of my ideas, as well as look for new trends.  If you use data visualization in any way (or now start using it) I’d be curious to hear about it.

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