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485485> ## Challenge - Summary Data
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487- > 1 . How many recorded individuals are female ` F ` and how many male ` M `
487+ > 1 . How many recorded individuals are female ` F ` and how many male ` M ` ?
488488> 2 . What happens when you group by two columns using the following syntax and
489- > then grab mean values:
489+ > then grab mean values?
490490> - ` grouped_data2 = surveys_df.groupby(['plot_id','sex']) `
491491> - ` grouped_data2.mean() `
492492> 3 . Summarize weight values for each site in your data. HINT: you can use the
493- > following syntax to only create summary statistics for one column in your data
493+ > following syntax to only create summary statistics for one column in your data.
494494> ` by_site['weight'].describe() `
495495>
496496>
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