Box plot vs violin plot comparison in Matplotlib - Interactive Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the matplotlib plotting library.

Matplotlib

import [1] as plt

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

Anumpy

Bseaborn

Cpandas

Dmatplotlib.pyplot

Attempts:

3 left

💡 Hint

Common Mistakes

Importing the wrong library like seaborn or numpy.

Forgetting to use the alias plt.

We import matplotlib.pyplot as plt to create plots.

2fill in blank

medium

Complete the code to create a box plot of the data list.

Matplotlib

plt.[1](data)

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Ascatter

Bviolinplot

Cboxplot

Dhist

Attempts:

3 left

💡 Hint

Common Mistakes

Using violinplot instead of boxplot.

Using hist or scatter which are different plot types.

The boxplot function draws a box plot to show data distribution.

3fill in blank

hard

Fix the error in the code to create a violin plot of the data list.

Matplotlib

plt.[1](data)

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

Aviolinplot

Bboxplot

Cplot

Dbar

Attempts:

3 left

💡 Hint

Common Mistakes

Using boxplot instead of violinplot.

Using plot or bar which do not create violin plots.

The violinplot function draws a violin plot which shows data distribution shape.

4fill in blank

hard

Fill both blanks to create side-by-side box and violin plots for the same data.

Matplotlib

fig, ax = plt.subplots()
ax.[1](data, positions=[1])
ax.[2](data, positions=[2])
plt.show()

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

Aboxplot

Bscatter

Cviolinplot

Dhist

Attempts:

3 left

💡 Hint

Common Mistakes

Using scatter or hist instead of violinplot for the second plot.

Not specifying positions to separate the plots.

Use boxplot and violinplot methods on the same axes to compare plots side-by-side.

5fill in blank

hard

Fill all three blanks to create labeled box and violin plots with titles and axis labels.

Matplotlib

fig, ax = plt.subplots()
ax.[1](data, positions=[1])
ax.[2](data, positions=[2])
ax.set_xticks([1, 2])
ax.set_xticklabels([[3]])
ax.set_title('Box vs Violin Plot')
plt.show()

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

Aboxplot

Bviolinplot

C['Box Plot', 'Violin Plot']

D['Violin', 'Box']

Attempts:

3 left

💡 Hint

Common Mistakes

Swapping boxplot and violinplot order.

Using wrong labels or mismatched labels for ticks.

First create boxplot, then violinplot. Then label x-axis ticks with descriptive names.