Why project-based learning cements skills in Data Analysis Python - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a DataFrame from a dictionary.

Data Analysis Python

import pandas as pd
data = {'Name': ['Alice', 'Bob'], 'Age': [25, 30]}
df = pd.[1](data)
print(df)

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

ADataFrame

BSeries

Carray

Dlist

Attempts:

3 left

💡 Hint

Common Mistakes

Using pd.Series instead of pd.DataFrame

Trying to use list or array which are not pandas constructors

Use pd.DataFrame() to create a DataFrame from a dictionary.

2fill in blank

medium

Complete the code to select the 'Age' column from the DataFrame.

Data Analysis Python

ages = df[1]
print(ages)

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

A.select('Age')

B['Age']

C.Age()

D[['Age']]

Attempts:

3 left

💡 Hint

Common Mistakes

Using double square brackets returns a DataFrame, not a Series

Using dot notation with parentheses is invalid

Use df['Age'] to select a single column as a Series.

3fill in blank

hard

Fix the error in the code to filter rows where Age is greater than 25.

Data Analysis Python

filtered = df[df['Age'] [1] 25]
print(filtered)

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

A<

B==

C<=

D>

Attempts:

3 left

💡 Hint

Common Mistakes

Using equality operator instead of greater than

Using less than or less than or equal operators

Use > to filter rows where Age is greater than 25.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps words to their lengths for words longer than 3 letters.

Data Analysis Python

words = ['data', 'science', 'is', 'fun']
lengths = {word: [1] for word in words if [2]
print(lengths)

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

Alen(word)

Bword > 3

Clen(word) > 3

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Comparing the word string directly to a number

Using the word itself as the value instead of its length

Use len(word) to get length and filter words with length greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary with uppercase keys and values filtered by value > 20.

Data Analysis Python

data = {'a': 10, 'b': 25, 'c': 30}
result = { [1]: [2] for k, v in data.items() if v [3] 20 }
print(result)

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

Ak.upper()

Bv

C>

Dk.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using lowercase keys instead of uppercase

Filtering with wrong comparison operator

Swapping keys and values

Keys are uppercase using k.upper(), values are v, filtered by v > 20.