Are You a Data Viz Ninja? Take This Python Libraries Quiz to Find Out

Data visualization or ploting the data is a core skill for any data scientist or analyst. It’s the key to effectively communicating insights from data. But how well do you really know your Python libraries for visualization like Matplotlib, Seaborn and Plotly?

This 30-question quiz will put you to the test on everything from basic chart types to advanced concepts and technical skills. You’ll have 30 minutes to answer as many questions as possible. Your score will reveal how comfortable you are with visualizing data using the most popular Python packages.

What's Covered in the Data Visualization Quiz?

The questions cover the following topics:

Different chart types – When to use bar charts, line plots, scatter plots etc.
Python library functionality – Commands, parameters and methods in Matplotlib, Seaborn and Plotly
Best practices – Principles of effective visualization like labeling, whitespace and dimensionality reduction
Interactivity – Features that enhance understanding like tooltips, callbacks and filters
Advanced concepts – Facetting, overplotting, pivot tables, key differences between libraries

You’ll need to draw on both conceptual knowledge as well as hands-on experience with the libraries. Mixed question formats like multiple choice, true/false and coding keep you on your toes.

How Can You Benefit From Taking the Quiz?

Some benefits of giving this quiz a try include:

Evaluate your current data visualization proficiency objectively
Identify topics to focus more study on like advanced visualization techniques
Review functions and syntax you may have forgotten
Gauge if you’re ready for data scientist job interviews involving Python viz skills
Gain confidence in your abilities to present data in a clear, engaging way
Have fun challenging yourself while strengthening an essential data skill

Be sure to time yourself and track your score as you go through the questions. At the end, you’ll know exactly how much more practice you need to become an expert in data storytelling through Python libraries.

Are You Ready to Test Your Python Visualization Skills Now?

If you’re serious about assessing or improving your Python data visualization competence, then this 30-question quiz is a must-take challenge. Give yourself 8 minutes, go through each question carefully and see how you fare against visualization pros.

Prepare to get your data viz knowledge put to the test! Take the quiz now and let me know your final score in the comments. I’m curious to see who the ultimate Python library ninja turns out to be.

5 votes, 5 avg

1306

Created by

Dr. Aammar Tufail

Data Visualization Quiz

This quiz will test your knowledge of key concepts in data visualization and data science. You will be asked questions about visualization best practices, different chart types, and commonly used Python libraries like Matplotlib, Seaborn and Plotly.

The number of attempts remaining is 5

1 / 30

How do you change the fontsize of labels in Matplotlib?

A) font_size=16

B) set_fontsize(16)

C) label_size=16

D) fontsize=16

2 / 30

What is the purpose of a boxplot in data visualization?

A) To visualize the distribution of quantitative data across categories

B) To show relationships between categorical variables

C) To create 3D plots

D) To plot time series data

3 / 30

Which attribute sets axis line properties in Plotly layout?

A) show_axis_lines

B) layout.xaxis.showline/layout.yaxis.showline

C) set_axis_lines

D) axis_lines

4 / 30

Which parameter controls the size of markers in a matplotlib scatter plot?

A) plot_size

B) size

C) s

D) marker_size

5 / 30

What is whitespace (white space) in data visualization?

A) The spacing between text characters

B) The background color of the plot

C) The margins around the page

D) Empty areas of the page or slide that separate individual graphics or groups of information

6 / 30

What library is used in Python for interactive web-based data visualization?

A) Matplotlib

B) Bokeh

C) Plotly

D) Seaborn

7 / 30

Which function in matplotlib is used to create a scatter plot?

A) plt.plot_scatter()

B) plt.draw_scatter()

C) plt.scatter()

D) plt.scatter_plot()

8 / 30

What is a pivot table in data visualization?

A) A tool for rearranging and summarizing data

B) A chart type to visualize time series data

C) A map to overlay data on geographic locations

D) A deep learning model for processing images

9 / 30

Which parameter controls the legend location in matplotlib?

A) loc

B) legend_loc

C) legendposition

D) location

10 / 30

What type of object is returned when a Plotly figure is created?

A) GraphObject

B) Plot

C) Layout

D) Figure

11 / 30

How do you display a Plotly figure inline in a Jupyter notebook?

A) fig.display()

B) show_inline(fig)

C) plot(fig)- Displays inline

D) fig.show() - Displays inline by default in Jupyter

12 / 30

Which Excel function creates a pivot table?

A) =PIVOT()

B) =SUMMARY()

C) =ANALYZE()

D) =TRANSPOSE()

13 / 30

Which layout attribute sets the y-axis title?

A) y_label

B) ytitle

C) yaxis.title

D) set_ytitle

14 / 30

Which seaborn function is used to draw a line plot?

A) sns.lineplot()

B) sns.draw_line()

C) sns.lines()

D) sns.plot_line()

15 / 30

Which keyword argument controls marker size in Plotly scatter plots?

A) s

B) point_size

C) marker_size

D) size

16 / 30

What is overplotting in data visualization?

A) When data points are plotted on top of each other

B) When there are too many colors in a plot

C) When the legend is missing

D) When the x and y axes are not labeled

17 / 30

How do you set the size of a figure in matplotlib?

A) plt.size(width height)

B) plt.figure(figsize=(width height))

C) plt.resize(width height)

D) plt.set_size(width height)

18 / 30

What type of plot is used for visualizing relationships between two continuous variables?

A) Pie chart

B) Scatter plot

C) Bar chart

D) Line chart

19 / 30

What type of chart is best for showing proportions within a whole?

A) Bar chart

B) Scatter plot

C) Line chart

D) Pie chart

20 / 30

Which attribute sets the plot title in Plotly?

A) title

B) name

C) plot_title

D) set_title

21 / 30

How do you set the color of bars in a seaborn barplot?

A) bar_color='blue'

B) set_color('blue')

C) color_bar='blue'

D) color='blue'

22 / 30

How do you add a legend to a Matplotlib plot?

A) plt.legend()

B) add_legend()

C) plt.add_legend()

D) legend()

23 / 30

How do you save a figure without displaying it in Matplotlib?

A) plt.to_file('figure.png')

B) plt.export('figure.png')

C) plt.savefig('figure.png')

D) plt.save('figure.png')

24 / 30

How do you set the x-axis label in a matplotlib plot?

A) set_xlabel('x-axis')

B) plt.xlabel('x-axis')

C) x_label('x-axis')

D) label_x('x-axis')

25 / 30

Which function in pandas is used to plot data directly from a DataFrame?

A) df.plot()

B) df.graph()

C) df.visualize()

D) df.draw()

26 / 30

How do you set the width of bars in a seaborn barplot?

A) width_bar=0.8

B) bar_width=0.8

C) set_width(0.8)

D) width=0.8

27 / 30

Which Plotly method updates axes properties (like ranges) non-uniformly?

A) update_axlims()

B) fig.update_axes()

C) axes_update()

D) fig.update_xaxes()

28 / 30

How do you add a grid to a matplotlib plot?

A) plt.set_grid(True)

B) plt.add_grid(True)

C) plt.grid(True)

D) plt.gridlines(True)

29 / 30

What type of chart is best for comparing groups?

A) Pie chart

B) Scatter plot

C) Bar chart

D) Line chart

30 / 30

What type of chart is best for visualizing categorical variables?

A) Pie chart

B) Line chart

C) Scatter plot

D) Bar chart

Your score is

The average score is 35%

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9 Comments.

FEROZ SHAH says:
January 22, 2024 at 4:12 pm
i got 80 marks
Afzaal Ahmad says:
October 26, 2023 at 6:33 pm
There seems some bug.
I attempted the quiz twice yesterday and could not complete it within the permissible time and quiz page closed itself.
But, instead of showing any results, it remained blank.
1. Dr. Aammar Tufail says:
  October 26, 2023 at 7:10 pm
  Time up ho jaye tu koi result nahi aye ga try karen dobara
Asia Siddiqui says:
October 26, 2023 at 5:01 am
Test attempt krny pr result show nhn ho rha.
Muhammad Abdullah says:
October 25, 2023 at 10:34 pm
sir Time Limit thori si Bhara deyn
Quiz Solve krny me issue ho rha
1. Dr. Aammar Tufail says:
  October 26, 2023 at 12:55 pm
  Ye enough hy you need to practice more
Imran Ur rehman says:
October 25, 2023 at 8:32 pm
too shot time for quiz.
1. Dr. Aammar Tufail says:
  October 26, 2023 at 12:55 pm
  Practice more, it would be easier then
Muhammad Ikram Shahzad says:
October 25, 2023 at 7:05 pm
The time is too short to complete the last quiz.

Data Visualization Quiz

Are You a Data Viz Ninja? Take This Python Libraries Quiz to Find Out

What's Covered in the Data Visualization Quiz?

How Can You Benefit From Taking the Quiz?

Are You Ready to Test Your Python Visualization Skills Now?

Data Visualization tutorial in Urdu/Hindi

50 Days of AI-to-Data Analytics Summer Bootcamp 2025

4-Months of Data Science to AI Agents Mentorship Program (DSAAMP)

Our Recent post can help you learn faster

Why Learning Bioinformatics is Essential for the Future of Science and Healthcare

UAE Makes ChatGPT Plus Free for All Citizens: A Global First

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9 Comments.

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