Exploratory data analysis in ML Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to load a CSV file into a DataFrame using pandas.

ML Python

import pandas as pd
df = pd.read_csv([1])

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Adata.csv

B"data.csv"

Cread.csv

Dcsv.read

Attempts:

3 left

2fill in blank

medium

Complete the code to show the first 5 rows of the DataFrame.

ML Python

print(df.[1]())

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Atop

Btail

Chead

Dshow

Attempts:

3 left

3fill in blank

hard

Fix the error in the code to get summary statistics of the DataFrame.

ML Python

summary = df.[1]()

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Adescribe

Bsummary

Cstats

Dinfo

Attempts:

3 left

4fill in blank

hard

Fill both blanks to create a dictionary of word lengths for words longer than 3 letters.

ML Python

lengths = {word: [1] for word in words if len(word) [2] 3}

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Alen(word)

B>

C<

Dword

Attempts:

3 left

5fill in blank

hard

Fill all three blanks to create a filtered dictionary with uppercase keys and values greater than 0.

ML Python

result = [1]: [2] for k, v in data.items() if v [3] 0 }

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Ak.upper()

Bv

C>

Dk

Attempts:

3 left