cut() and qcut() for binning in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create 3 equal-width bins from the data using cut().

Data Analysis Python

import pandas as pd
values = [5, 10, 15, 20, 25]
bins = pd.cut(values, [1])
print(bins)

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A3

B[3]

C'3'

Drange(3)

Attempts:

3 left

💡 Hint

Common Mistakes

Passing bins as a list or string instead of an integer.

Using range() which is not accepted directly.

The bins parameter in pd.cut() expects an integer for the number of equal-width bins.

2fill in blank

medium

Complete the code to create 4 quantile-based bins using qcut().

Data Analysis Python

import pandas as pd
values = [1, 2, 3, 4, 5, 6, 7, 8]
quantile_bins = pd.qcut(values, [1])
print(quantile_bins)

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A3

B4

C5

D2

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a number that does not divide data into equal quantiles.

Confusing cut() bins with qcut() quantiles.

The qcut() function divides data into quantiles. Passing 4 creates quartiles.

3fill in blank

hard

Fix the error in the code to label bins with custom names using cut().

Data Analysis Python

import pandas as pd
values = [10, 20, 30, 40, 50]
labels = ['Low', 'Medium', 'High']
binned = pd.cut(values, bins=3, labels=[1])
print(binned)

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A3

B['Low', 'Medium']

C['Low', 'Medium', 'High', 'Very High']

Dlabels

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a list with wrong length for labels.

Passing an integer instead of a list for labels.

The labels parameter expects a list of labels matching the number of bins.

4fill in blank

hard

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

Data Analysis Python

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

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Alen(word)

B>

C<

Dword

Attempts:

3 left

💡 Hint

Common Mistakes

Using the word itself instead of its length.

Using '<' instead of '>' in the condition.

The dictionary comprehension maps each word to its length, filtering words longer than 3 characters.

5fill in blank

hard

Fill all three blanks to create a dictionary of uppercase words with their lengths for words longer than 4 characters.

Data Analysis Python

words = ['apple', 'bat', 'carrot', 'dog', 'elephant']
result = {{ [1]: [2] for w in words if len(w) [3] 4 }}
print(result)

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Aw.upper()

Blen(w)

C>

Dw

Attempts:

3 left

💡 Hint

Common Mistakes

Using the original word as key instead of uppercase.

Using '<' instead of '>' in the condition.

Using w instead of len(w) for values.

This dictionary comprehension creates keys as uppercase words and values as their lengths, filtering words longer than 4 characters.