Which library is known for its comprehensive visualization capabilities but can be complex to use?
Python for Data Analysis: Step-By-Step with Projects - Seaborn Library Overview

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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Plotly
Seaborn
Matplotlib
Dash
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary advantage of using Seaborn over Matplotlib?
Seaborn is more complex
Seaborn is easier to use and style
Seaborn is less customizable
Seaborn does not integrate with pandas
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What function in Seaborn is used to create histograms?
kdeplot
displot
rugplot
catplot
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you manually set the bin width in a Seaborn histogram?
By using the 'width' parameter
By using the 'binwidth' parameter
By using the 'size' parameter
By using the 'bins' parameter
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the 'aspect' parameter control in a Seaborn plot?
The color of the plot
The height of the plot
The width-to-height ratio
The number of bins
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of a KDE plot in Seaborn?
To show individual data points
To create a bar chart
To estimate the probability density function
To display categorical data
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you overlay a KDE plot on a histogram in Seaborn?
By setting 'bins' to '10'
By setting 'kind' to 'kde'
By setting 'kde' to 'true'
By setting 'rug' to 'true'
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