Categorical plots (boxplot, violinplot) in Data Analysis Python - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a boxplot using seaborn.

Data Analysis Python

import seaborn as sns
import matplotlib.pyplot as plt

data = sns.load_dataset('tips')
sns.boxplot(x='day', y='total_bill', data=[1])
plt.show()

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

Adata

Bsns

Cplt

Dtips

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the seaborn module instead of the dataset.

Passing the plotting module plt instead of the dataset.

Using the dataset name 'tips' as a string instead of the variable.

The 'data' variable holds the dataset to plot. Passing it to the 'data' parameter is required.

2fill in blank

medium

Complete the code to create a violinplot grouped by 'sex'.

Data Analysis Python

import seaborn as sns
import matplotlib.pyplot as plt

data = sns.load_dataset('tips')
sns.violinplot(x='day', y='total_bill', hue=[1], data=data)
plt.show()

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

A'smoker'

B'sex'

C'time'

D'size'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'time' or 'smoker' instead of 'sex' for grouping.

Not passing the column name as a string.

The 'hue' parameter groups the plot by the 'sex' column.

3fill in blank

hard

Fix the error in the code to plot a boxplot with seaborn.

Data Analysis Python

import seaborn as sns
import matplotlib.pyplot as plt

data = sns.load_dataset('tips')
sns.boxplot(x='day', y='total_bill', data=[1])
plt.show()

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

Aplt

Bsns

Ctips

Ddata

Attempts:

3 left

💡 Hint

Common Mistakes

Passing the string 'tips' instead of the variable.

Passing the seaborn or matplotlib modules instead of the dataset.

The variable 'data' holds the dataset. Using 'data' fixes the error.

4fill in blank

hard

Fill both blanks to create a violinplot with split by smoker status.

Data Analysis Python

import seaborn as sns
import matplotlib.pyplot as plt

data = sns.load_dataset('tips')
sns.violinplot(x=[1], y='total_bill', hue=[2], data=data, split=True)
plt.show()

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

A'day'

B'sex'

C'smoker'

D'time'

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping the x and hue parameters.

Using 'sex' or 'time' instead of 'smoker' for hue.

The x-axis is 'day' and the hue is 'smoker' to split the violinplot by smoker status.

5fill in blank

hard

Fill all three blanks to create a boxplot grouped by day and colored by time.

Data Analysis Python

import seaborn as sns
import matplotlib.pyplot as plt

data = sns.load_dataset('tips')
sns.boxplot(x=[1], y=[2], hue=[3], data=data)
plt.show()

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

A'day'

B'total_bill'

C'time'

D'sex'

Attempts:

3 left

💡 Hint

Common Mistakes

Mixing up x and y parameters.

Using 'sex' instead of 'time' for hue.

Not passing column names as strings.

The x-axis is 'day', y-axis is 'total_bill', and hue groups by 'time' (Lunch or Dinner).