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Data Visualization with Matplotlib Quiz

Authored by amit kumar

Computers

10th Grade

Used 2+ times

Data Visualization with Matplotlib Quiz
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Matplotlib?

A cooking recipe book

A type of flower

A new programming language

A plotting library for Python

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Name three types of plots that can be created using Matplotlib.

Box plot

1. Line plot 2. Scatter plot 3. Bar plot

Pie plot

Histogram

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Explain the difference between plt.plot() and plt.scatter() in Matplotlib.

plt.plot() is used to create bar plots, while plt.scatter() is used to create line plots.

plt.plot() is used to create scatter plots, while plt.scatter() is used to create line plots.

plt.plot() is used to create pie charts, while plt.scatter() is used to create scatter plots.

plt.plot() is used to create line plots, while plt.scatter() is used to create scatter plots.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can you change the color of a plot in Matplotlib?

By using the 'size' parameter in the plot function.

By using the 'label' parameter in the plot function.

By using the 'marker' parameter in the plot function.

By using the 'color' parameter in the plot function.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of adding labels to the x-axis and y-axis in a Matplotlib plot?

To hide the data

To make the plot look more colorful

To confuse the audience

To provide context and understanding of the data being presented in the plot.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Explain the use of plt.subplot() in Matplotlib.

It is used to create 3D plots in Matplotlib.

It is used to change the color scheme of the entire figure in Matplotlib.

It is used to create a grid of subplots within a single figure.

It is used to add a title to the entire figure in Matplotlib.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the function of plt.legend() in Matplotlib?

Add a legend to the current axes.

Change the color of the plot

Create a new figure

Remove the axes from the plot

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