# Posts Tagged ‘ histogram ’

## An unabashedly narcissistic data analysis of my own tweets. The…

April 2, 2012
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pie( table( whence.i.tweet )) qplot( whence ) + coord_polar() pie( log( table( whence )))+RColorBrewer ggplot (see below) plot( density( tweets.len )) qplot(... stat="density") + geom_density qplot(...stat="bin") + geom_text(...) tweeple tweep...

## National Gallery of Ireland

October 15, 2011
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During a short if profitable visit to Dublin for a SFI meeting on Tuesday/Friday, I had the opportunity to visit the National Gallery of Ireland in my sole hour of free time (as my classy hotel was very close). The building itself is quite nice, being well-inserted between brick houses from the outside, while providing

## Comparing Two Distributions

August 29, 2011
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Here I compare two distributions, flowering duration of indigenous and allochtonous plant species. The hypothesis is that alien compared to indigenous plant species exhibit longer flowering periods. Read more »

## density()

June 27, 2011
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Following my earlier posts on the revision of Lack of confidence, here is an interesting outcome from the derivation of the exact marginal likelihood in the Laplace case. Computing the posterior probability of a normal model versus a Laplace model in the normal (gold) and the Laplace (chocolate) settings leads to the above histogram(s), which

## Example 8.41: Scatterplot with marginal histograms

June 20, 2011
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The scatterplot is one of the most ubiquitous, and useful graphics. It's also very basic. One of its shortcomings is that it can hide important aspects of the marginal distributions of the two variables. To address this weakness, you can add a histo...

## Example 8.40: Side-by-side histograms

June 13, 2011
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It's often useful to compare histograms for some key variable, stratified by levels of some other variable. There are several ways to display something like this. The simplest may be to plot the two histograms in separate panels.SASIn SAS, the most d...

## Friday Function: nclass

May 6, 2011
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When you draw a histogram, an important question is “how many bar should I draw?”. This should inspire an indignant response. You didn’t become a programmer to answer questions, did you? No. The whole point of programming is to let your computer do your thinking for you, giving you more time to watch videos of

## Example 8.3: pyramid plots

August 30, 2010
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Pyramid plots are a common way to display the distribution of age groups in a human population. The percentages of people within a given age category are arranged in a barplot, often back to back. Such displays can be used distinguish males vs. femal...

## Charting the performance of cricket all-rounders – IT Botham

August 16, 2010
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Cricket is a sport that generates a large volume of performance data and corresponding debate about the relative qualities of various players over their careers and in relation to their contemporaries. The cricinfo website has an extensive database of statistics for professional cricketers that can be searched to access the information in various formats. As an

## Summarising data using histograms

April 11, 2010
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The histogram is a standard type of graphic used to summarise univariate data where the range of values in the data set is divided into regions and a bar (usually vertical) is plotted in each of these regions with height proportional to the frequency of observations in that region. In some cases the proportion of