Why Seaborn complements Matplotlib - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import Seaborn with its common alias.

Matplotlib

import [1] as sns

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Apandas

Bmatplotlib

Cnumpy

Dseaborn

Attempts:

3 left

💡 Hint

Common Mistakes

Importing matplotlib as sns instead of seaborn

Using numpy or pandas as sns

Seaborn is commonly imported as sns to make plotting easier and more readable.

2fill in blank

medium

Complete the code to create a simple scatter plot using Seaborn.

Matplotlib

sns.scatterplot(x='total_bill', y='tip', data=[1])

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Aplt

Btips

Cnp

Ddf

Attempts:

3 left

💡 Hint

Common Mistakes

Passing plt or np instead of a DataFrame

Using an undefined variable like df without loading data

The tips dataset is a common example dataset used with Seaborn for plotting.

3fill in blank

hard

Fix the error in the code to set a Seaborn style for Matplotlib plots.

Matplotlib

sns.set_style([1])

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Ascatter

Bblue

Cdarkgrid

Dplot

Attempts:

3 left

💡 Hint

Common Mistakes

Using color names instead of style names

Passing plot types instead of style names

Seaborn styles include 'darkgrid', 'whitegrid', 'dark', 'white', and 'ticks'. 'darkgrid' adds a grid background.

4fill in blank

hard

Fill both blanks to create a Seaborn histogram with kernel density estimate.

Matplotlib

sns.histplot(data=[1], x='total_bill', kde=[2])

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Atips

BTrue

CFalse

Dplt

Attempts:

3 left

💡 Hint

Common Mistakes

Passing plt instead of a DataFrame

Setting kde to False or a string

Using tips dataset and setting kde=True adds a smooth density curve over the histogram.

5fill in blank

hard

Fill all three blanks to create a Seaborn boxplot grouped by day and colored by smoker status.

Matplotlib

sns.boxplot(x=[1], y='total_bill', hue=[2], data=[3])

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A'day'

B'smoker'

Ctips

D'total_bill'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'total_bill' as x or hue instead of 'day' or 'smoker'

Passing plt or other variables instead of the dataset

The boxplot groups data by day on the x-axis, colors by smoker status, and uses the tips dataset.