Question: [ 4 ] : import pandas as pd import seaborn as sns The next cell loads the diamonds dataset from Seaborn [ 5 ] :

[4]: import pandas as pd
import seaborn as sns
The next cell loads the diamonds dataset from Seaborn
[5]: data = sns.load_dataset('diamonds')
Display the first 5 rows of data
Sort data by ALL of the columns cut, clarity, and color columns. Then create a Multilndex by setting the index of data to ALL cut ,
clarity, and color. Display the first 5 rows of data .
Group data by cut and clarity using the mean function, and save the result as a variable grouped. Display grouped .
Display a cross-section of grouped using the VVS1 clarity.

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