Noreen Seebacher

The Visual Art Behind Data Science

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Noreen Seebacher
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Share please
Noreen Seebacher   2/12/2013 10:04:09 AM
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Feel free to share your favorite examples of good or bad data visualizations...

Noreen Seebacher
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Re: Share please
Noreen Seebacher   2/12/2013 10:14:51 AM
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This is nice: 



Callmebob
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Nice is a 4-letter word for "We're screwed."
Callmebob   2/12/2013 1:10:15 PM
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Noreen - Whoa boy. I guess this falls into the "good" data visualization but showing a bad result. About the only improvement that would help the visualization is to put a piece of toast on the Really Scary Things row next to the "Ocean floor methane released causing runaway climate change. Possiblity of mass extinction."

At least it will only take up to 300,000 years to re-absorb the atmosphere's CO2 and we can start over again.

Noreen Seebacher
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Re: Nice is a 4-letter word for "We're screwed."
Noreen Seebacher   2/12/2013 1:34:14 PM
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LOL callmebob

philsimon
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Re: Share please
philsimon   2/12/2013 10:26:05 AM
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Wow. The rape one is very powerful.

Phoenix
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Re: Share please
Phoenix   2/12/2013 10:53:02 AM
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One of the most helpful data representations I receive comes in the form of our electricity and water bill. At the back of the bill you get two graphs showing the national average for water and electricity consumption for my house type along with my monthly consumption. This generates awareness. Inevitably if I have consumed more than the national average I would become more conscious about that fact. The next month I would most likely try to conserve more.  

BethSchultz
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Re: Share please
BethSchultz   2/12/2013 5:22:03 PM
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I'm not sure about that. My household consumption is so out of whack in the energy report comparison my electric utility sends me that I find it really hard to believe its using good comparables. I don't think, for example, that it's enough to show comparisons between houses on the same block. My house is virtually the same as the one two doors down -- except there only two people are in residence and here five (and six when my daughter is home from college). That's generally three times the amount of laundry being done, and dishes, and cooking, etc. Plus there's the fact that I work in a home office, and so on. 

Noreen Seebacher
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Re: Share please
Noreen Seebacher   2/12/2013 10:08:44 PM
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I like to compare my own usage year-over-year and my electric bill lets me do that with a simple bar graph

BethSchultz
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Re: Share please
BethSchultz   2/13/2013 9:30:51 AM
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I'll have to do that going forward. Starting in this fall my household will shrink by 3. I bet I'll see a nice dip in my electricity usage.

BethSchultz
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Not so bad ...
BethSchultz   2/12/2013 10:25:42 AM
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Hi Noreen, I don't really think the Enliven Project data visualization was so horrible myself. It certainly met its mission of raising awareness, even more so because of the brouhaha that followed from it! The lesson I take from it is that at times data visualizations are meant to be taken more conceptually than in hard numbers -- but the designers and editors must make that distinction clear in their presentation.

Noreen Seebacher
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SAS blog
Noreen Seebacher   2/12/2013 11:11:34 AM
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SAS has a nice blog post on Make better business decisions with Visual Analytics

Take a look.

Jeff
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Think Different
Jeff   2/13/2013 12:04:13 PM
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I always take notice when a graph is unique.  When you can tell they went a little further to drive the point home.  I hope this trend continues.  The simple pie chart is not cutting it any more.

Noreen Seebacher
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Re: Think Different
Noreen Seebacher   2/15/2013 7:05:41 AM
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Pity the much maligned pie chart!

DavosCollective
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Re: Think Different
DavosCollective   2/17/2013 11:00:27 PM
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There's nothing intrinsically wrong with any type of chart, you just have to use them correctly. You also need to carefully consider that most people can't easily read charts so you need to remove all ambiguity from them.  Pie charts are good for showing percentages of a whole, where there are not too many categories as to make it illegible. The worst crime of pie chart usage is to use multiple pie charts for time series. e.g. comparing the profit % this year with the profit last year % can be misleading if the total revenue has changed significantly.

Everybody loves to jump on the Tufte piechart bashing bandwagon, I've seen some very apt usage of pie charts, like this example.

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