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 add a legend to a Matplotlib plot?

A) plt.add_legend()

B) plt.legend()

C) legend()

D) add_legend()

2 / 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()

3 / 30

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

A) Plotly

B) Bokeh

C) Matplotlib

D) Seaborn

4 / 30

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

A) bar_color='blue'

B) set_color('blue')

C) color='blue'

D) color_bar='blue'

5 / 30

What type of chart is best for comparing groups?

A) Line chart

B) Pie chart

C) Bar chart

D) Scatter plot

6 / 30

What type of chart is best for visualizing categorical variables?

A) Scatter plot

B) Bar chart

C) Line chart

D) Pie chart

7 / 30

Which layout attribute sets the y-axis title?

A) y_label

B) yaxis.title

C) set_ytitle

D) ytitle

8 / 30

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

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

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

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

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

9 / 30

Which attribute sets the plot title in Plotly?

A) name

B) title

C) plot_title

D) set_title

10 / 30

How do you save a Plotly figure as HTML?

A) fig.write_html('fig.html')

B) fig.save_as_html('fig.html')

C) export_html('fig.html')

D) fig.to_html('fig.html')

11 / 30

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

A) sns.plot_pair()

B) sns.draw_pair()

C) sns.pair()

D) sns.pairplot()

12 / 30

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

A) plt.plot_scatter()

B) plt.scatter()

C) plt.scatter_plot()

D) plt.draw_scatter()

13 / 30

Which keyword argument controls marker size in Plotly scatter plots?

A) marker_size

B) point_size

C) size

D) s

14 / 30

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

A) plt.new()

B) plt.figure()

C) plt.graph()

D) plt.create()

15 / 30

What is facetting in data visualization?

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

B) Relabeling the axes and legends

C) Combining multiple plots into subplots

D) Scaling the plot for different devices

16 / 30

Which seaborn function is used to draw a boxplot?

A) sns.box()

B) sns.boxplot()

C) sns.plot_box()

D) sns.draw_box()

17 / 30

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

A) render()

B) fig.show()

C) update()

D) fig.update_layout()

18 / 30

How do you add a legend to a Plotly figure?

A) layout.legend.showlegend=True

B) legend=True

C) show_legend()

D) add_legend()

19 / 30

Which attribute sets the font properties in Plotly layout?

A) set_font

B) layout.font

C) font_props

D) font_family

20 / 30

Which library in Python is primarily used for plotting data?

A) pandas

B) scipy

C) matplotlib

D) numpy

21 / 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

22 / 30

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

A) label_x('x-axis')

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

C) x_label('x-axis')

D) set_xlabel('x-axis')

23 / 30

What principle states that graphs should maximizeink ratio (data-to-ink ratio)?

A) Lie Factor principle

B) Visual hierarchy principle

C) Tufte's data-ink maximization principle

D) Chartjunk principle

24 / 30

Which Plotly class is used to create bar charts?

A) BarChart()

B) go.Bar()

C) bar_plot()

D) plotly.graph_objects.Bar()

25 / 30

Which color palette is used by default in seaborn plots?

A) predefined

B) 'muted'

C) plt.colors()

D) default

26 / 30

Which seaborn function is used to draw a line plot?

A) sns.draw_line()

B) sns.plot_line()

C) sns.lineplot()

D) sns.lines()

27 / 30

What is the purpose of a heatmap in data visualization?

A) To create interactive plots

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

C) To plot time series data

D) To draw 3D plots

28 / 30

Which attribute sets axis line properties in Plotly layout?

A) axis_lines

B) show_axis_lines

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

D) set_axis_lines

29 / 30

What is a pivot table in data visualization?

A) A chart type to visualize time series data

B) A tool for rearranging and summarizing data

C) A map to overlay data on geographic locations

D) A deep learning model for processing images

30 / 30

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

A) axes_update()

B) fig.update_xaxes()

C) fig.update_axes()

D) update_axlims()

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