Descriptive statistics (describe) in SciPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the function that calculates descriptive statistics.

SciPy

from scipy.stats import [1]
data = [1, 2, 3, 4, 5]
result = describe(data)
print(result)

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

Adescribe

Bmode

Cmedian

Dmean

Attempts:

3 left

💡 Hint

Common Mistakes

Importing mean or median instead of describe.

Forgetting to import from scipy.stats.

The describe function from scipy.stats calculates descriptive statistics like mean, variance, min, max, and more.

2fill in blank

medium

Complete the code to calculate descriptive statistics for the given data list.

SciPy

from scipy.stats import describe
data = [10, 20, 30, 40, 50]
result = describe([1])
print(result)

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

A[1, 2, 3]

Brange(5)

Clist

Ddata

Attempts:

3 left

💡 Hint

Common Mistakes

Passing a range object instead of the data list.

Passing the word 'list' instead of the variable.

You need to pass the actual data list data to the describe function to get statistics.

3fill in blank

hard

Fix the error in the code to correctly calculate descriptive statistics.

SciPy

from scipy.stats import describe
data = [5, 10, 15, 20]
result = describe([1])
print(result)

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

Adata

Bdata.values

Cdata.tolist()

Ddata.items()

Attempts:

3 left

💡 Hint

Common Mistakes

Trying to use values or items on a list.

Passing a method call instead of the list variable.

The describe function expects a list or array. Since data is already a list, pass it directly.

4fill in blank

hard

Fill both blanks to create a dictionary of descriptive statistics for words longer than 3 letters.

SciPy

words = ['data', 'science', 'is', 'fun']
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 as value instead of its length.

Using less than instead of greater than in the condition.

We want the length of each word as the value, so use len(word). The condition filters words longer than 3 letters, so use >.

5fill in blank

hard

Fill all three blanks to create a filtered dictionary with uppercase keys and values greater than 2.

SciPy

data = {'a': 1, 'b': 3, 'c': 5}
filtered = {{ [1]: [2] for k, v in data.items() if v [3] 2 }}
print(filtered)

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Ak.upper()

Bv

C>

Dk.lower()

Attempts:

3 left

💡 Hint

Common Mistakes

Using lowercase keys instead of uppercase.

Using wrong comparison operator in filter.

Swapping keys and values in dictionary comprehension.

Keys are converted to uppercase with k.upper(). Values are kept as v. The filter keeps values greater than 2 using >.