1816 search results for "ggplot2"

Analyze Gold Demand and Investments using R

June 29, 2010
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Analyze Gold Demand and Investments using R

After the recent foray into stock analysis using quantmod, I thought it worthwhile to mention that the library can be used to analyze a wide variety of investments, including precious metals.  It is also worthwhile to mention that there are other ...

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World Bank API R package available!

June 23, 2010
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World Bank API R package available!

In previous posts I demonstrated R plots created using World Bank Data through their API.  The following is a much nicer example of what is possible.  Many thanks to Vincent Arel-Bundock for sharing his work to make the World Bank D...

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Analyzing competitive nordic skiing with R

June 22, 2010
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Analyzing competitive nordic skiing with R

Here's another great example of R being used to analyze sports data. Statistician and skier Joran Elias has started a project to analyze and visualize international cross country ski racing results, and he publishes his analysis at the blog Statistical Skier. All of the analyses are done using R (and for data, SQLite via the RSQLite package). As much...

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Employee productivity as function of number of workers revisited

June 22, 2010
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Employee productivity as function of number of workers revisited

We have a mild obsession with employee productivity and how that declines as companies get bigger. We have previously found that when you treble the number of workers, you halve their individual productivity which is mildly scary. We revisit the analysis for the...

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Employee productivity as function of number of workers revisited

June 22, 2010
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Employee productivity as function of number of workers revisited

We have a mild obsession with employee productivity and how that declines as companies get bigger. We have previously found that when you treble the number of workers, you halve their individual productivity which is mildly scary. We revisit the analysis for the...

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R Layout command.

June 21, 2010
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R Layout command.

In the previous post I created a chart but could not figure out to fit the legend in the chart area. Peter Carl pointed me to the layout command which partitions the display area and allowed the the legend to be included. Source code to produce the c...

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Statistical Analysis and Visualization of the Drug War in Mexico

June 15, 2010
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Statistical Analysis and Visualization of the Drug War in Mexico

On December 11, 2006 Felipe Calderon, as the first significant act of his presidency, sent the army to his home state of Michoacan. He claimed that it was to regain control of territories lost to the drug cartels, and indeed, a new cartel had started operating in Michocan. But the fact that he won the election by the slim margin of...

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Statistical Analysis and Visualization of the Drug War in Mexico

June 15, 2010
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Statistical Analysis and Visualization of the Drug War in Mexico

On December 11, 2006 Felipe Calderon, as the first significant act of his presidency, sent the army to his home state of Michoacan. He claimed that it was to regain control of territories lost to the drug cartels, and indeed, a new cartel had started operating in Michocan. But the fact that he won the election by the slim margin of...

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Clustergram: visualization and diagnostics for cluster analysis (R code)

June 15, 2010
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Clustergram: visualization and diagnostics for cluster analysis (R code)

About Clustergrams In 2002, Matthias Schonlau published in “The Stata Journal” an article named “The Clustergram: A graph for visualizing hierarchical and . As explained in the abstract: In hierarchical cluster analysis dendrogram graphs are used to visualize how clusters are formed. I propose an alternative graph named “clustergram” to examine how cluster members are assigned to clusters as...

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Thoughts on Making Data Work

June 9, 2010
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I really enjoyed all four talks at today's online conference, Making Data Work. (Disclosure: Revolution sponsored this conference.) I thought the four speakers together gave a great overview of issues related to the processing, analysis, and visualization of big data. Mike Driscoll started off with a useful categorization for data size. "Small Data" (<10Gb) fits in the memory of...

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