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Course Notes: Exploratory Data Analysis in Python
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    Use this workspace to take notes, store code snippets, or build your own interactive cheatsheet! For courses that use data, the datasets will be available in the datasets folder.

    #agregaciones en dataframes
    

    Take Notes

    --books.agg(['mean','std'])' -- books.agg('rating':['mean','std'],year:['median'])

    Cuando uso la función df.groupby().agg()

    puedo usar las funciones que voy a aplicar a cada nueva columna agregada: df.groupby('tipos').agg( mean_rating=('rating','mean'), std_rating=('rating','std'), median_year=('year','median') )

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    # Valores Faltantes
    

    planes.isna().sum(), significa que sumará os valores que faltan en cada columna del dataframe planes