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 set the width of bars in a seaborn barplot?

A) bar_width=0.8

B) width=0.8

C) width_bar=0.8

D) set_width(0.8)

2 / 30

What is the purpose of a heatmap in data visualization?

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

B) To plot time series data

C) To create interactive plots

D) To draw 3D plots

3 / 30

Which method exports a Plotly figure to an image file?

A) fig.to_file('fig.png')

B) fig.save('fig.png')

C) fig.write_image('fig.png')

D) fig.export('fig.png')

4 / 30

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

A) Pie chart

B) Line chart

C) Bar chart

D) Scatter plot

5 / 30

Which seaborn function is used to draw a bar plot?

A) sns.bar()

B) sns.barplot()

C) sns.draw_bar()

D) sns.plot_bar()

6 / 30

Which attribute sets the font properties in Plotly layout?

A) layout.font

B) font_props

C) set_font

D) font_family

7 / 30

Which function in seaborn is used to draw a pair plot?

A) sns.pair()

B) sns.plot_pair()

C) sns.draw_pair()

D) sns.pairplot()

8 / 30

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

A) set_xlabel('x-axis')

B) x_label('x-axis')

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

D) label_x('x-axis')

9 / 30

What is whitespace (white space) in data visualization?

A) The background color of the plot

B) The margins around the page

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

D) The spacing between text characters

10 / 30

What is facetting in data visualization?

A) Relabeling the axes and legends

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

C) Scaling the plot for different devices

D) Combining multiple plots into subplots

11 / 30

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

A) Plotly

B) Seaborn

C) Bokeh

D) Matplotlib

12 / 30

Which seaborn function is used to draw a line plot?

A) sns.plot_line()

B) sns.draw_line()

C) sns.lines()

D) sns.lineplot()

13 / 30

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

A) fig.update_axes()

B) axes_update()

C) update_axlims()

D) fig.update_xaxes()

14 / 30

How do you set the title of a plot in matplotlib?

A) plt.set_title('Title')

B) plt.title('Title')

C) plt.heading('Title')

D) plt.caption('Title')

15 / 30

What type of chart is best for showing data trends over time?

A) Pie chart

B) Line chart

C) Scatter plot

D) Bar chart

16 / 30

Did you subscribe to our YouTube channel Codancis ?

A) Don't use YouTube

B) No

C) Yes

D) Already subscribed

17 / 30

Which keyword argument controls marker size in Plotly scatter plots?

A) point_size

B) size

C) s

D) marker_size

18 / 30

What is a pivot table in data visualization?

A) A map to overlay data on geographic locations

B) A deep learning model for processing images

C) A chart type to visualize time series data

D) A tool for rearranging and summarizing data

19 / 30

Which attribute sets axis line properties in Plotly layout?

A) show_axis_lines

B) set_axis_lines

C) layout.xaxis.showline/layout.yaxis.showline

D) axis_lines

20 / 30

How do you add a grid to a matplotlib plot?

A) plt.add_grid(True)

B) plt.set_grid(True)

C) plt.gridlines(True)

D) plt.grid(True)

21 / 30

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

A) Plot

B) Figure

C) Layout

D) GraphObject

22 / 30

Which function is used to create a histogram in Matplotlib?

A) plt.draw_hist()

B) plt.histogram()

C) plt.plot_hist()

D) plt.hist()

23 / 30

How do you add a legend to a Matplotlib plot?

A) plt.add_legend()

B) plt.legend()

C) add_legend()

D) legend()

24 / 30

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

A) plotly.graph_objects.Scatter()

B) go.Scatter()

C) scatter_plot()

D) plot.scatter()

25 / 30

What is overplotting in data visualization?

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

B) When the legend is missing

C) When there are too many colors in a plot

D) When the x and y axes are not labeled

26 / 30

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

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

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

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

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

27 / 30

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

A) plt.new()

B) plt.graph()

C) plt.figure()

D) plt.create()

28 / 30

Which Plotly method updates and renders a figure on the screen?

A) update()

B) fig.update_layout()

C) fig.show()

D) render()

29 / 30

Which Plotly class is used to create bar charts?

A) plotly.graph_objects.Bar()

B) BarChart()

C) go.Bar()

D) bar_plot()

30 / 30

Which layout attribute sets grid line properties?

A) gridlines

B) xaxis_grid

C) set_grid

D) layout.grid

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