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This is a visualization of the frequency of occurrence of the words 'internet' , 'web', and 'twitter' in the New York Times, from 1990 - 2009.
Interesting here is the very steep rise in mentions of Twitter so far in 2009. Compare the leading edge of the Twitter curve to both web and internet - it is clearly on a steeper climb.
Compare this image to one made in February, to see the very clear 'Twitter explosion' -
www.flickr.com/photos/blprnt/3256480403/in/set-7215761338...
Built with Processing (http://www.processing.org)
This is a small visualization about my self I did last year at a university course. Did it with photoshop! :)
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
Functional notation is only available for a subset of functions. Here is an alternative syntax for factoring and expanding polynomials.
Viva apartments visualizations created for Adele Bates' interior design project in Brighton.
Software used: 3ds Max, Corona and Photoshop
Maurits Cornelis Escher visualized mathematics in such a way that both a layman and a professor are mesmerized and spellbound by his works. He knew how to represent mathematical ideas that just were discovered by professional mathematicians or sometimes needed much more years to be fully understood and/or proven. In light of this Escher can be regarded as one of the largest, if not the greatest, people at the interface of mathematics and art of the 20th century and most likely for far more years to come. It is therefore all the more remarkable that he did not understand mathematics at all, and actually was driven by an artistic motivation to create logical and sound surface patterns in a 2 and 3D world.
A large portion of Escher's work is permanently on display in the The Escher Museum in The Hague, Netherlands. The museum is housed in the former royal palace "Lange Voorhout". Subsequently the museum is called: "Escher in the Palace".
Dutch Queen Emma bought the stately house in 1896, which was build in 1764 for Anthony Patras. She used it as a winter palace from 1901 till her death in 1934. Four Dutch Queens used the palace as their business offices, until Queen Beatrix moved office to another Palace.
During my visit to the museum, where one can take photos (without flash though), I was inspired by Escher's endeavor and philosophy to create logical and sound surface patterns. Therefore, I tried to take several photos of the interior, in which I captured coherent and rational lines and surfaces, sometimes symmetry, spanning the whole frame, but still make you look closer to actually see what you're looking at... do you still follow???
I hope so, as I found it quite challenging to come up with something original and with a certain level of quality that is fitting for MCE.
Maps of racial and ethnic divisions in US cities, inspired by Bill Rankin's map of Chicago, updated for Census 2010.
Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Yellow is Other, and each dot is 25 residents.
Data from Census 2010. Base map © OpenStreetMap, CC-BY-SA
Functions can also be plotted by generating a line that approximates the function. In fact, this is what happens behind the scenes when the 'plot' function is called.
Different types of plots can be added to each other in the same way that similar plots can be added.
Freestyle. Center is a pysanky design found in Zenon Elyjiw's Sixty Score of Easter Eggs: A Comprehensive Album of Ukrainian Easter Eggs. Love that book. Around the egg are my doodles, which turned out to look vaguely pea-pod-ish. This piece is completely covered with stitches and is roughly the size of the palm of my hand.
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
I was astounded by Bill Rankin's map of Chicago's racial and ethnic divides and wanted to see what other cities looked like mapped the same way. To match his map, Red is White, Blue is Black, Green is Asian, Orange is Hispanic, Gray is Other, and each dot is 25 people. Data from Census 2000. Base map © OpenStreetMap, CC-BY-SA
If you look deep in to the image, you can visualize alot of funny stuff from this image...give it a try! :)
What you see from distance in the image is a sand bank with small trees which is eventually going to be an island.
Paper at www.stat.columbia.edu/~gelman/research/published/signif4.pdf (PDF)
Let's say that a country, Lagutrop, wants to increase its PISA results and, before deciding on policy, the decision-makers want to know what works by running experiments or studies of intervention effectiveness. These studies compare two variables with similar intervention scales, say expenditure in computer-assisted learning (U) and expenditure in teacher selection and incentive systems (V).
In Study 1, data is collected measuring the effect of U and V (possibly with a lot of covariates). The parameter estimates for the effect of U and V are given by the two bell-curve-like curves on the left above.
Conclusion (as is traditionally presented): Lagutrop should invest in teacher selection and incentive systems, since computer-aided education has no significant effect.
Gelman and Stern problem 1: but the difference between the effects is itself non-significant! If significance is the criterion for disposing of U, then it should also be explained to the decision-makers that significance cannot be used to separate U from V. Specifically, policy-makers in Lagutrop should be told that the rejection of computer-aided education is based on a criterion that also suggests that computer-based education is as effective as teacher recruitment and incentives.
Meanwhile, another group of researchers run a single-variable study (Study 2) considering only the effects of spending money on teachers (in Lagutrop this study would probably have been done by teachers :-).
The results of Study 2 are then presented as supporting the conclusions of Study one, phrased as "Expenditure on teachers shows a significant effect on PISA scores in both studies."
Gelman and Stern problem 2: Studies 1 and 2 predict very different effect sizes for variable V; why the discrepancy? How can two parameter estimates that are significantly different from each other be considered corroboration?
My own take on this problem 2 is the following: suppose the policy-makers in Lagutrop have to decide how much to allocate to this PISA-improvement project, out of a budget that includes other considerations (national defense, jobs for the families and friends of the politicians, police, fire-fighters, etc.). Budgeting will require forecasting. Which of the parameter estimates for effect size will they use to build a forecasting model? Since the two estimates are significantly different, any attempt at aggregation would violate the basic meaning of that significance.
That's what we engineers call a serious execution problem.
(Reblogged at my personal blog.)
I can't see
I can't walk alone
I lack some physical skills
But, I won't knee to blindess
I won't be completely depedent on the others
I won't stay without any work
I have the heart to visualize the feelings
I have the mind to comprehend the life
I have the soul to be a free human
[Abraaj. January 2007]
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Series of Kuwait's portraits (winter 06-2007)
I saw this blind old man at Al-Mubarakiah Market in Kuwait City
Canon EF 70-200mm f/2.8L
editing: RAW processing and Photoshop editing
The last four years of my data from Facebook: gadgetwise.blogs.nytimes.com/2010/10/06/facebook-now-lets...
Visualized with GrandPerspective: grandperspectiv.sourceforge.net/