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2013-01-03T11:45:22.010
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2013-01-03T18:23:27.343
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2013-01-03T18:23:27.343
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<ul> <li>Bar charts provide a visual presentation of categorical data. Examples: <ul> <li>The number of people with red, black and brown hair</li> <li>Look at the <code>geom_bar</code> <a href="http://docs.ggplot2.org/0.9.2.1/geom_bar.html" rel="noreferrer">help file</a>. The examples are all counts.</li> <li>Wikipedia <a href="http://en.wikipedia.org/wiki/Bar_chart" rel="noreferrer">page</a></li> </ul></li> <li>Histograms are used to plot density of <a href="http://www.ats.ucla.edu/stat/mult_pkg/whatstat/nominal_ordinal_interval.htm" rel="noreferrer">interval</a> (usually numeric) data. Examples, <ul> <li>Distributions of age and height</li> <li><code>geom_hist</code> <a href="http://docs.ggplot2.org/0.9.3/geom_histogram.html" rel="noreferrer">help file</a>. The examples are distribution of movie ratings.</li> </ul></li> </ul> ggplot2 After a bit more investigating, I think in ggplot2 there is no difference between <code>geom_bar</code> and <code>geom_histogram</code>. From the docs: <pre><code> geom_histogram(mapping = NULL, data = NULL, stat = "bin", position = "stack", ...) geom_bar(mapping = NULL, data = NULL, stat = "bin", position = "stack", ...) </code></pre> I realise that in the <code>geom_histogram</code> docs it states: <blockquote> geom_histogram is an alias for geom_bar plus stat_bin </blockquote> but to be honest, I'm not really sure what this means, since my understanding of ggplot2 is that both stat_bin and geom_bar are layers (with a slightly different emphasis).
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1. COI think this is not represented in ggplot accurately as ggplot(diamonds,aes(depth)) + geom_histogram(aes(y=..density..)) and ggplot(diamonds,aes(depth)) + geom_bar(aes(y=..density..)) results in the same plot (which is a histogram)
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