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source/viz.Rmd

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@@ -241,7 +241,7 @@ We see that there are two columns in the `co2_df` data frame; `date_measured` an
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The `date_measured` column holds the date the measurement was taken,
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and is of type `date`.
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The `ppm` column holds the value of CO$_{\text{2}}$ in parts per million
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that was measured on each date, and is type `double`.
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that was measured on each date, and is type `double`.\index{dates and times}
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> **Note:** `read_csv` was able to parse the `date_measured` column into the
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> `date` vector type because it was entered
@@ -1225,9 +1225,9 @@ admirable job given the technology available at the time.
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When you create a histogram in R, the default number of bins used is 30.
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Naturally, this is not always the right number to use.
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You can set the number of bins yourself by using
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the `bins` argument in the `geom_histogram` geometric object.
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the `bins` argument in the `geom_histogram` geometric object. \label{ggplot!bins}
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You can also set the *width* of the bins using the
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`binwidth` argument in the `geom_histogram` geometric object.
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`binwidth` argument in the `geom_histogram` geometric object. \label{ggplot!binwidth}
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But what number of bins, or bin width, is the right one to use?
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Unfortunately there is no hard rule for what the right bin number

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