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Bretwood Higman
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I keep a number of different weather data visualization sites open nearly all the time, and Cameron Beccario's evolution of this chart is among them. Here's what I'm looking at now:,50.93,560 I think your question about "truth" is interesting. I love this visual for it's beauty, and it provides useful clues to reality in a number of places. However, if you want to know what the temperature will be tomorrow, or where the greatest uncertainty lies in forecasts, or numerous other factors, this isn't the best view. The one facet of weather that I've found this visual highlights better than any other I've seen is convergence and divergence of air. In particular, it vividly shows large convergences associated with lows. These convergences create the spiraling bands of clouds that dump precipitation: as air converges it has to move upward, and as it moves up adiabatic cooling leads to condensation. If you look very carefully, you can even see the corresponding divergence in higher layers of the atmosphere. I prefer Cameron Beccario's map over the one you discussed in part because it includes Alaska where I live (an often overlooked part of "America"). Also the fact that you can overlay temperature data, and look at different elevations, is very useful.
Toggle Commented Feb 25, 2014 on Update on Dataviz Workshop 2 at Junk Charts
One approach (may not be practical in Excel) would be to stick with the original chart, but discretize both the x and y axis, so instead of looking at areas you're looking at stacks of blocks. Each block would represent a certain amount of revenue, and each column of blocks would be a certain number of subscribers. Some advantages: * It may be more clear that you should count blocks than that you should estimate areas. * By sticking to solid blocks (ie rounding data) then you get the reader thinking in quantities that are small enough to be memorable. Like 19 blocks that are $10,000 each, rather than $192k. * It would look pretty neat - especially if instead of blocks they were appropriate icons of some sort. * It's basically the same chart, so the presentation of it would be little altered. That said, in a presentation, it might work better to generate several charts, each clearly emphasizing one point, rather than one complex one that does everything.
Toggle Commented Jan 31, 2014 on Visualizing uneven distributions at Junk Charts
Entertaining detail: Lake Tahoe is actually vulnerable to tsunamis: (Note that in this news article they correctly define seiche, but get a little confused. The landslide-generated wave that happened thousands of years ago would generate a destructive tsunami. There'd likely be a seiche that resonated for a while after the tsunami, but it would be unlikely to be as destructive as the tsunami itself.) Seems like the map in question could be greatly improved if cities vulnerable to tsunamis were identified by points with colors to indicate something about degree of risk, and if each point linked to a tsunami inundation map for that city.
Toggle Commented Apr 30, 2012 on Flooding the Himalayas at Junk Charts
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Apr 30, 2012