describe() for statistical summary in Pandas - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to get a statistical summary of the DataFrame.

Pandas

summary = df.[1]()

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

Ainfo

Btail

Chead

Ddescribe

Attempts:

3 left

💡 Hint

Common Mistakes

Using info() instead of describe() which shows data types, not statistics.

Using head() or tail() which show rows, not statistics.

The describe() method provides a quick statistical summary of numerical columns in a DataFrame.

2fill in blank

medium

Complete the code to include all columns (numeric and non-numeric) in the summary.

Pandas

summary = df.describe(include=[1])

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

A'numeric'

B'all'

C'object'

D'category'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'numeric' which is the default and excludes text columns.

Using 'object' or 'category' which only include specific types.

Using include='all' makes describe() show statistics for all columns, including text.

3fill in blank

hard

Fix the error in the code to get the summary of a DataFrame named data.

Pandas

summary = data.[1]()

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

Adescribe

Bsummary

Cdescribe_summary

Dsummarize

Attempts:

3 left

💡 Hint

Common Mistakes

Using non-existent method names like summarize or summary.

Confusing method names with variable names.

The correct method name is describe(). Other options are not valid pandas methods.

4fill in blank

hard

Fill both blanks to create a summary that includes only categorical columns.

Pandas

summary = df.describe(include=[1], exclude=[2])

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

A'object'

B'number'

C'float64'

D'int64'

Attempts:

3 left

💡 Hint

Common Mistakes

Including numeric types which adds numbers to the summary.

Excluding object type which removes categorical columns.

Including 'object' selects text columns, and excluding 'number' removes numeric columns, so only categorical columns remain.

5fill in blank

hard

Fill all three blanks to create a summary showing only columns of type float64.

Pandas

summary = df.describe(include=[1], exclude=[2], percentiles=[[3]])

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

A'float64'

B'int64'

C0.5

D0.25

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong types in include or exclude.

Setting percentiles to values outside 0 to 1 range.

Including 'float64' selects float columns, excluding 'int64' removes integers, and setting percentiles to [0.5] shows the median only.