Why advanced operations handle complex data in Data Analysis Python - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a list of squares for numbers 1 to 5.

Data Analysis Python

squares = [x[1]2 for x in range(1, 6)]
print(squares)

Drag options to blanks, or click blank then click option'

A//

B+

C**

D*

Attempts:

3 left

💡 Hint

Common Mistakes

Using '+' instead of '**' will add numbers instead of squaring.

Using '*' will multiply but not square correctly in this context.

The ** operator is used to raise a number to a power. Here, x**2 squares the number.

2fill in blank

medium

Complete the code to filter numbers greater than 3 from the list.

Data Analysis Python

numbers = [1, 2, 3, 4, 5]
greater_than_three = [n for n in numbers if n [1] 3]
print(greater_than_three)

Drag options to blanks, or click blank then click option'

A<

B>

C==

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' will filter numbers less than 3, which is incorrect here.

Using '==' will only select numbers equal to 3.

The operator > checks if a number is greater than another. Here, it filters numbers greater than 3.

3fill in blank

hard

Fix the error in the code to calculate the average of a list of numbers.

Data Analysis Python

data = [10, 20, 30, 40]
average = sum(data) [1] len(data)
print(average)

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A/

B-

C+

D*

Attempts:

3 left

💡 Hint

Common Mistakes

Using '+' or '-' will not calculate average correctly.

Using '*' multiplies instead of dividing.

To find the average, sum all numbers and divide by the count using /.

4fill in blank

hard

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

Data Analysis Python

words = ['apple', 'bat', 'carrot', 'dog']
lengths = {word: [1] for word in words if len(word) [2] 3}
print(lengths)

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Alen(word)

Bword

C>

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using word instead of len(word) will store the word itself, not its length.

Using '<=' will select words with length 3 or less, which is incorrect.

The dictionary comprehension maps each word to its length using len(word). The condition len(word) > 3 filters words longer than 3 letters.

5fill in blank

hard

Fill both blanks to create a dictionary with uppercase keys and values greater than 10.

Data Analysis Python

data = {'a': 5, 'b': 15, 'c': 25}
result = {k[1]: v for k, v in data.items() if v [2] 10}
print(result)

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A{

Bv

C>

Dk.upper()

Attempts:

3 left

💡 Hint

Common Mistakes

Not starting with '{' will cause syntax errors.

Using 'k' instead of 'k.upper()' keeps keys lowercase.

Using '<' or '<=' will filter wrong values.

The dictionary comprehension starts with {. The keys are converted to uppercase using k.upper(). The condition v > 10 filters values greater than 10.