Monthly Archives: March 2009

American Immigration Trends

March 22, 2009
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The New York Times has a beautiful visualization of immigration trends in the United States since 1880. I highly recommend spending a few minutes playing with the interactive display.

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India Census 2001 – Part 1

March 22, 2009
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India Census 2001 – Part 1

I was trying – for the last few weeks – to get the 2001 Indian census data. Alas the census website is under construction. But fortunately the Internet rewind button works! Thankfully the literacy data was online there. The raw data is available here. I cleaned up the data so that it is easy to

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Play Sliding Puzzles on R

March 22, 2009
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The code was shared on my google docs. See it here.

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Dianne Reeves at Dominican

March 16, 2009
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Yesterday afternoon, we had another chance to see Dianne Reeves (wikipedia). This time, it almost felt like she came to us as she was headlining at the annual trustee benefit concert at Dominican University, a small college about a mile from our place. And as in 2007 and 2003, she did not disappoint. Great voice, great stage presence. Highly recommended.

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R: Monitoring the function progress with a progress bar

March 16, 2009
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R: Monitoring the function progress with a progress bar

Every once in while I have to write a function that contains a loop doing thousands or millions of calculations. To make sure that the function does not get stuck in an endless loop or just to fulfill the human need of control it is useful to monitor the progress. So  first I tried the

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Identify Data Points in Off-Screen R Graphics Devices

March 16, 2009
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Today Ruya Gokhan Kocer asked me how to use the R function identify() in off-screen graphics devices. Actually it’s pretty easy as long as we obtain the list returned by identify(pos = TRUE). For example, # open a windows device x11() x = rnorm(20) y = rnorm(20) plot(x, y) # identify 5 points id = identify(x, y, n = 5, pos =

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2009 March Madness Half Marathon in Cary

March 15, 2009
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This morning it was once more time for the annual March Madness Half Marathon in Cary. This race is basically the start of the running season in Chicagoland. And we could not have asked for better weather. After a really cold and long winter, and a short snapback to really cold temperatures this week, it started to warm up a little yesterday...

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Color: The Cinderella of dataviz

March 13, 2009
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Color:  The Cinderella of dataviz

“Avoiding catastrophe becomes the first principle in bringing color to information: Above all, do no harm.”  — Envisioning Information, Edward Tufte, Graphics Press, 1990    Color is one of the most abused and neglected tools in data visualization. It is abused when we make poor color choices; it is neglected when we rely on poor software

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Visulization of correlation matrix

March 12, 2009
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Color Imagedata(mtcars)fit = lm(mpg ~ ., mtcars)cor = summary(fit, correlation = TRUE)$correlationcor2 = t(cor)colors = c("#A50F15", "#DE2D26", "#FB6A4A", "#FCAE91", "#FEE5D9","white", "#EFF3FF", "#BDD7E7", "#6BAED6", "#3182BD", "#08519C")image(1:11, 1:11, cor2, axes = FALSE, ann = F, col = colors)text(rep(1:11, 11), rep(1:11, each = 11), round(100 * cor2))Ellipseslibrary(ellipse)col =

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no “Infinities”

March 12, 2009
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no “Infinities”

Thanks to  Pierre-Yves for the below useful tip!if you have a dataset from which you want the max or min but they have to be real number and not "Inf" or "-Inf" there is a way to do it:data <- c(-Inf, 1,2,3,4,5,6,7,8,9,10, Inf)max(data)# Return...

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