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Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.

Results 2 baby-names-analysis issues
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Context: [CGPGrey's Tiffany video](https://www.youtube.com/watch?v=9LMr5XTgeyI) and [Name Explain](https://www.youtube.com/channel/UCy_QZ1EEY4S5YT6cmBTwMwg) demonstrated that spelling variations can fuzz the data trends of names. the data can be cleaned such that this can be fixed. Example...

Apparently in lines #Step by step approad, the one-liners can be found below their respective tables df=df[df["gender"]=="M"] df=df[["name","count"]] df=df.groupby("name") df=df.sum() df=df.sort_values("count",ascending=False) df.head(10) Error is coming after running it second time....