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.

3 votes, 5 avg

1156

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

Which Plotly class is used to create bar charts?

A) BarChart()

B) bar_plot()

C) go.Bar()

D) plotly.graph_objects.Bar()

2 / 30

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

A) plt.set_size(width height)

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

C) plt.size(width height)

D) plt.resize(width height)

3 / 30

Which attribute sets axis line properties in Plotly layout?

A) show_axis_lines

B) axis_lines

C) set_axis_lines

D) layout.xaxis.showline/layout.yaxis.showline

4 / 30

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

A) go.Scatter()

B) plot.scatter()

C) scatter_plot()

D) plotly.graph_objects.Scatter()

5 / 30

How do you add a legend to a Matplotlib plot?

A) legend()

B) add_legend()

C) plt.legend()

D) plt.add_legend()

6 / 30

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

A) Scatter plot

B) Line chart

C) Bar chart

D) Pie chart

7 / 30

What type of chart is best for visualizing categorical variables?

A) Line chart

B) Scatter plot

C) Bar chart

D) Pie chart

8 / 30

What is a pivot table in data visualization?

A) A map to overlay data on geographic locations

B) A tool for rearranging and summarizing data

C) A deep learning model for processing images

D) A chart type to visualize time series data

9 / 30

Which parameter controls the legend location in matplotlib?

A) location

B) loc

C) legend_loc

D) legendposition

10 / 30

Which attribute sets the font properties in Plotly layout?

A) layout.font

B) font_family

C) font_props

D) set_font

11 / 30

What seaborn function is used to draw a point plot?

A) sns.draw_points()

B) sns.points()

C) sns.pointplot()

D) sns.plot_points()

12 / 30

What is the purpose of a heatmap in data visualization?

A) To draw 3D plots

B) To plot time series data

C) To create interactive plots

D) To visualize data density or intensity across a 2D space

13 / 30

Which seaborn function is used to draw a boxplot?

A) sns.draw_box()

B) sns.boxplot()

C) sns.plot_box()

D) sns.box()

14 / 30

Which Excel function creates a pivot table?

A) =SUMMARY()

B) =PIVOT()

C) =ANALYZE()

D) =TRANSPOSE()

15 / 30

Which function in matplotlib is used to create a new figure?

A) plt.figure()

B) plt.graph()

C) plt.create()

D) plt.new()

16 / 30

Which parameter sets the linewidth in Matplotlib?

A) linewidth

B) width_line

C) line_width

D) set_width()

17 / 30

How do you add a grid to a matplotlib plot?

A) plt.set_grid(True)

B) plt.gridlines(True)

C) plt.add_grid(True)

D) plt.grid(True)

18 / 30

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

A) df.plot()

B) df.draw()

C) df.graph()

D) df.visualize()

19 / 30

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

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

B) show_inline(fig)

C) fig.display()

D) plot(fig)- Displays inline

20 / 30

How do you add a legend to a Plotly figure?

A) layout.legend.showlegend=True

B) add_legend()

C) legend=True

D) show_legend()

21 / 30

How do you change the number of bins in a Matplotlib histogram?

A) n_bins=10

B) bins=10

C) set_bins(10)

D) plt.hist(bins=10)

22 / 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

23 / 30

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

A) Matplotlib

B) Seaborn

C) Bokeh

D) Plotly

24 / 30

Which seaborn function is used to draw a line plot?

A) sns.plot_line()

B) sns.lines()

C) sns.lineplot()

D) sns.draw_line()

25 / 30

Which color palette is used by default in seaborn plots?

A) predefined

B) default

C) 'muted'

D) plt.colors()

26 / 30

What type of visualization shows relationships between data clusters?

A) Scatter plot matrix

B) Choropleth map

C) Tree map

D) Heatmap

27 / 30

What is facetting in data visualization?

A) Scaling the plot for different devices

B) Dividing the plot area into panels to show subsets of data

C) Combining multiple plots into subplots

D) Relabeling the axes and legends

28 / 30

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

A) x_label('x-axis')

B) set_xlabel('x-axis')

C) label_x('x-axis')

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

29 / 30

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

A) size

B) marker_size

C) s

D) plot_size

30 / 30

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

A) width=0.8

B) width_bar=0.8

C) bar_width=0.8

D) set_width(0.8)

Your score is

The average score is 35%

Submit your feedback about the quiz.

Thank you for submitting your review and feedback.

You can also try our other quizes here:

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Data Visualization tutorial in Urdu/Hindi

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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

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