Binning continuous variables in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create bins using pandas cut function.

Data Analysis Python

import pandas as pd

ages = [22, 45, 18, 34, 65, 27]
bins = [0, 18, 35, 60, 100]
categories = pd.cut(ages, [1])
print(categories)

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

Abins

Bages

Crange

Dcategories

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the data itself instead of the bins list.

Using a variable that is not defined as bins.

The pd.cut function requires the bins argument to define the intervals. Here, bins is the list of bin edges.

2fill in blank

medium

Complete the code to assign labels to the bins.

Data Analysis Python

import pandas as pd

ages = [22, 45, 18, 34, 65, 27]
bins = [0, 18, 35, 60, 100]
labels = ['Child', 'Young Adult', 'Adult', 'Senior']
categories = pd.cut(ages, bins, [1]=labels)
print(categories)

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

Abins

Bnames

Ccategories

Dlabels

Attempts:

3 left

💡 Hint

Common Mistakes

Using names instead of labels.

Passing the labels list as the first argument.

The labels parameter in pd.cut assigns names to each bin interval.

3fill in blank

hard

Fix the error in the code to create equal-width bins.

Data Analysis Python

import pandas as pd

ages = [22, 45, 18, 34, 65, 27]
categories = pd.cut(ages, bins=4, [1]=True)
print(categories)

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

Ainclude_lowest

Bright

Clabels

Dretbins

Attempts:

3 left

💡 Hint

Common Mistakes

Using right=True which controls bin edge inclusion on the right side.

Using labels when not assigning labels.

The include_lowest=True parameter ensures the lowest value is included in the first bin.

4fill in blank

hard

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

Data Analysis Python

words = ['data', 'science', 'is', 'fun']
lengths = {word: [1] for word in words if len(word) [2] 3}
print(lengths)

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

Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using word instead of len(word) for the value.

Using < instead of > in the condition.

The dictionary comprehension maps each word to its length if the word length is greater than 3.

5fill in blank

hard

Fill all three blanks to create a dictionary of uppercase words and their lengths for words longer than 2 characters.

Data Analysis Python

words = ['data', 'science', 'is', 'fun']
result = { [1]: [2] for word in words if len(word) [3] 2 }
print(result)

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

Aword.upper()

Blen(word)

C>

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using word instead of word.upper() for keys.

Using < instead of > in the condition.

The dictionary comprehension creates keys as uppercase words and values as their lengths, filtering words longer than 2 characters.