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 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')

2 / 30

Which layout attribute sets grid line properties?

A) set_grid

B) xaxis_grid

C) gridlines

D) layout.grid

3 / 30

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

A) sns.pairplot()

B) sns.plot_pair()

C) sns.draw_pair()

D) sns.pair()

4 / 30

Which method exports a Plotly figure to an image file?

A) fig.export('fig.png')

B) fig.to_file('fig.png')

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

D) fig.save('fig.png')

5 / 30

What is the primary purpose of data visualization?

A) To create databases

B) To make data look complex

C) To make data easier to understand and interpret

D) To hide information

6 / 30

Which seaborn function is used to draw a bar plot?

A) sns.draw_bar()

B) sns.barplot()

C) sns.bar()

D) sns.plot_bar()

7 / 30

What is a pivot table in data visualization?

A) A tool for rearranging and summarizing data

B) A deep learning model for processing images

C) A chart type to visualize time series data

D) A map to overlay data on geographic locations

8 / 30

How do you save a Plotly figure as HTML?

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

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

C) fig.to_html('fig.html')

D) export_html('fig.html')

9 / 30

What is the purpose of a heatmap in data visualization?

A) To plot time series data

B) To draw 3D plots

C) To create interactive plots

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

10 / 30

Which seaborn function is used to draw a boxplot?

A) sns.boxplot()

B) sns.box()

C) sns.plot_box()

D) sns.draw_box()

11 / 30

Which layout attribute sets the y-axis title?

A) ytitle

B) yaxis.title

C) set_ytitle

D) y_label

12 / 30

What is overplotting in data visualization?

A) When there are too many colors in a plot

B) When the x and y axes are not labeled

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

D) When the legend is missing

13 / 30

Which library in Python is primarily used for plotting data?

A) matplotlib

B) pandas

C) numpy

D) scipy

14 / 30

Which keyword argument controls marker size in Plotly scatter plots?

A) marker_size

B) size

C) point_size

D) s

15 / 30

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

A) Line chart

B) Pie chart

C) Bar chart

D) Scatter plot

16 / 30

Which parameter in seaborn's sns.pairplot() function is used to color points by a particular variable?

A) color

B) shade

C) hue

D) palette

17 / 30

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

A) plt.create()

B) plt.figure()

C) plt.new()

D) plt.graph()

18 / 30

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

A) fig.update_xaxes()

B) update_axlims()

C) fig.update_axes()

D) axes_update()

19 / 30

Which Plotly class is used to create bar charts?

A) go.Bar()

B) BarChart()

C) plotly.graph_objects.Bar()

D) bar_plot()

20 / 30

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

A) plot.scatter()

B) scatter_plot()

C) go.Scatter()

D) plotly.graph_objects.Scatter()

21 / 30

Which parameter controls the legend location in matplotlib?

A) legendposition

B) legend_loc

C) loc

D) location

22 / 30

What type of chart is best for visualizing hierarchical or multi-level categorical data?

A) Bar chart

B) Scatter plot

C) Tree map

D) Pie chart

23 / 30

Did you subscribe to our YouTube channel Codancis ?

A) Don't use YouTube

B) Already subscribed

C) Yes

D) No

24 / 30

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

A) Line chart

B) Pie chart

C) Scatter plot

D) Bar chart

25 / 30

What is facetting in data visualization?

A) Combining multiple plots into subplots

B) Scaling the plot for different devices

C) Relabeling the axes and legends

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

26 / 30

How do you add a legend to a Plotly figure?

A) layout.legend.showlegend=True

B) show_legend()

C) add_legend()

D) legend=True

27 / 30

Which attribute sets the plot title in Plotly?

A) name

B) title

C) plot_title

D) set_title

28 / 30

What type of visualization shows relationships between data clusters?

A) Choropleth map

B) Tree map

C) Scatter plot matrix

D) Heatmap

29 / 30

What is the purpose of a boxplot in data visualization?

A) To create 3D plots

B) To show relationships between categorical variables

C) To plot time series data

D) To visualize the distribution of quantitative data across categories

30 / 30

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

A) bar_color='blue'

B) color='blue'

C) set_color('blue')

D) color_bar='blue'

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