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_episodes/02-starting-with-data.md

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@@ -549,15 +549,16 @@ surveys_df.groupby('species_id')['record_id'].count()['DO']
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If we wanted to, we could apply a mathmatical operation like addition or division
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on an entire column of our data. For example let's multiply all weight values by 2.
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A more practical use of this might be to normalize the data according to a mean, area, or some other value
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calculated from our data.
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~~~
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# Multiply all weight values by 2
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surveys_df['weight']*2
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~~~
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{: .language-python}
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A more practical use of this might be to normalize the data according to a mean, area,
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or some other value calculated from our data.
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# Quick & Easy Plotting Data Using Pandas
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We can plot our summary stats using Pandas, too.

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