Data analysis agent pipeline in Agentic Ai - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a data analysis agent pipeline that loads data.

Agentic_ai

data = [1]('data.csv')

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Aload_data

Bopen

Cread_file

Dpd.read_csv

Attempts:

3 left

2fill in blank

medium

Complete the code to filter rows where the 'age' column is greater than 30.

Agentic_ai

filtered_data = data[data['age'] [1] 30]

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A<=

B>

C==

D<

Attempts:

3 left

3fill in blank

hard

Fix the error in the code to calculate the mean of the 'salary' column.

Agentic_ai

average_salary = data['salary'].[1]()

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Amean

Bcount

Cmedian

Dsum

Attempts:

3 left

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps each word to its length if the length is greater than 3.

Agentic_ai

{word: [1] for word in words if [2]

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Alen(word)

Bword > 3

Clen(word) > 3

Dword

Attempts:

3 left

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps uppercase words to their values if the value is greater than 0.

Agentic_ai

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

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Ak.upper()

Bv

C>

Dk.lower()

Attempts:

3 left