3226 search results for "map"

Book review: "Doing Data Science" by Rachel Schutt and Cathy O’Neil

January 23, 2014
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by Joseph Rickert Every once in a while a single book comes to crystallize a new discipline. If books still have this power in the era of electronic media, "Doing Data Science, Straight Talk from the Frontline" by Rachel Schutt and Cathy O’Neil: O'Reilly, 2013 might just be the book that defines data science. "Doing Data Science", which is...

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Quoting Tukey on Visual Storytelling with Data

January 23, 2014
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Quoting Tukey on Visual Storytelling with Data

Time was when I used to be a reasonably competent scholar, digging into the literature chasing down what folk actually said, and chasing forward to see whether claims had been refuted. Then I fell out of love with the academic literature – too many papers that said nothing, too many papers that contained errors, too

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Hopping into R

January 22, 2014
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Hopping into R

With the new Joyent Manta R SDK we're diving into the R community, so we're honored to be included in the R-Bloggers blog here. We hope to have more R and statistics posts there. The packages' author, Dr. Christopher Hogue has been a great addition to...

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Hopping into R

January 22, 2014
By
Hopping into R

With the new Joyent Manta R SDK we're diving into the R community, so we're honored to be included in the R-Bloggers blog here. We hope to have more R and statistics posts there. The packages' author, Dr. Christopher Hogue has been a great addition to...

Read more »

Hopping into R

January 22, 2014
By
Hopping into R

With the new Joyent Manta R SDK we're diving into the R community, so we're honored to be included in the R-Bloggers blog here. We hope to have more R and statistics posts there. The packages' author, Dr. Christopher Hogue has been a great addition to...

Read more »

Visualizing Autoregressive Time Series

January 21, 2014
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Visualizing Autoregressive Time Series

In the MAT8181 graduate course on Time Series, we started discussing autoregressive models. Just to illustrate, here is some code to plot  – causal – process, > graphar1=function(phi){ + nf <- layout(matrix(c(1,1,1,1,2,3,4,5), 2, 4, byrow=TRUE), respect=TRUE) + e=rnorm(n) + X=rep(0,n) + for(t in 2:n) X=phi*X+e + plot(X,type="l",ylab="") + abline(h=mean(X),lwd=2,col="red") + abline(h=mean(X)+2*sd(X),lty=2,col="red") + abline(h=mean(X)-2*sd(X),lty=2,col="red") + u=seq(-1,1,by=.001) + plot(0:1,0:1,col="white",xlab="",ylab="",axes=FALSE,ylim=c(-2,2),xlim=c(-2.5,2.5)) + polygon(c(u,rev(u)),c(sqrt(1-u^2),rev(-sqrt(1-u^2))),col="light yellow")...

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Fun with the Raspberry Pi

January 21, 2014
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Fun with the Raspberry Pi

Since Christmas I have been playing around with a Raspberry Pi. It is certainly not the fastest computer, but what a great little toy! Here are a few experiences and online resources that I found helpful. SetupInitially I connected the Raspberry Pi via HDMI to a TV; together with keyboard, mouse and an old USB Wifi adapter....

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RProtoBuf 0.4.0: A whole lot of goodies and Windoze support

January 20, 2014
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A new major release 0.4.0 of RProtoBuf, is now on CRAN. RProtoBuf provides GNU R bindings for the Google Protocol Buffers ("Protobuf") data encoding library used and released by Google, and deployed as a language and operating-system agnostic proto...

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Second NYC R classes(announcement and teaching experience)

January 20, 2014
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Second NYC R classes(announcement and teaching experience)

(The photo was from our first offering of R classes) We are going to offer our Data Science by R (beginner level) course again in February. The goal of this class is to get students to a point where they are self-sufficient in R, are proficient at analyzing data and can take these skills back to their full-time jobs....

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Visualization Series: Using Scatterplots and Models to Understand the Diamond Market (so You Don’t Get Ripped Off)

January 19, 2014
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Visualization Series: Using Scatterplots and Models to Understand the Diamond Market (so You Don’t Get Ripped Off)

My last post railed against the bad visualizations that people often use to plot quantitive data by groups, and pitted pie charts, bar charts and dot plots against each other for two visualization tasks.  Dot plots came out on top. … Continue reading →

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