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 seaborn function is used to draw a bar plot?

A) sns.bar()

B) sns.barplot()

C) sns.plot_bar()

D) sns.draw_bar()

2 / 30

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

A) Scatter plot

B) Tree map

C) Pie chart

D) Bar chart

3 / 30

Did you subscribe to our YouTube channel Codancis ?

A) Already subscribed

B) Don't use YouTube

C) Yes

D) No

4 / 30

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

A) hue

B) color

C) shade

D) palette

5 / 30

What type of chart is best for visualizing categorical variables?

A) Scatter plot

B) Line chart

C) Bar chart

D) Pie chart

6 / 30

Which seaborn function is used to draw a boxplot?

A) sns.box()

B) sns.plot_box()

C) sns.draw_box()

D) sns.boxplot()

7 / 30

What is the purpose of a heatmap in data visualization?

A) To draw 3D plots

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

C) To create interactive plots

D) To plot time series data

8 / 30

Which Plotly class is used to create bar charts?

A) bar_plot()

B) plotly.graph_objects.Bar()

C) go.Bar()

D) BarChart()

9 / 30

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

A) plt.draw_scatter()

B) plt.plot_scatter()

C) plt.scatter()

D) plt.scatter_plot()

10 / 30

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

A) fig.show()

B) render()

C) update()

D) fig.update_layout()

11 / 30

Which layout attribute sets the y-axis title?

A) ytitle

B) y_label

C) yaxis.title

D) set_ytitle

12 / 30

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

A) plt.graph()

B) plt.create()

C) plt.figure()

D) plt.new()

13 / 30

How do you add a legend to a Plotly figure?

A) add_legend()

B) legend=True

C) layout.legend.showlegend=True

D) show_legend()

14 / 30

Which function is used to add subplots in Matplotlib?

A) plt.add_subplot()

B) plt.create_subplot()

C) plt.subplots()

D) plt.subplot()

15 / 30

Which attribute sets axis line properties in Plotly layout?

A) layout.xaxis.showline/layout.yaxis.showline

B) axis_lines

C) show_axis_lines

D) set_axis_lines

16 / 30

What is the purpose of a boxplot in data visualization?

A) To plot time series data

B) To create 3D plots

C) To show relationships between categorical variables

D) To visualize the distribution of quantitative data across categories

17 / 30

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

A) Bar chart

B) Scatter plot

C) Pie chart

D) Line chart

18 / 30

Which library in Python is primarily used for plotting data?

A) matplotlib

B) pandas

C) scipy

D) numpy

19 / 30

What is whitespace (white space) in data visualization?

A) The margins around the page

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

C) The spacing between text characters

D) The background color of the plot

20 / 30

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

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

B) fig.display()

C) plot(fig)- Displays inline

D) show_inline(fig)

21 / 30

Which function is used to create a histogram in Matplotlib?

A) plt.plot_hist()

B) plt.draw_hist()

C) plt.histogram()

D) plt.hist()

22 / 30

Which layout attribute sets grid line properties?

A) set_grid

B) layout.grid

C) gridlines

D) xaxis_grid

23 / 30

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

A) bar_color='blue'

B) color='blue'

C) color_bar='blue'

D) set_color('blue')

24 / 30

Which parameter sets the linewidth in Matplotlib?

A) set_width()

B) line_width

C) linewidth

D) width_line

25 / 30

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

A) plt.set_size(width height)

B) plt.size(width height)

C) plt.resize(width height)

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

26 / 30

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

A) set_width(0.8)

B) width_bar=0.8

C) bar_width=0.8

D) width=0.8

27 / 30

Which parameter controls the legend location in matplotlib?

A) location

B) loc

C) legend_loc

D) legendposition

28 / 30

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

A) n_bins=10

B) plt.hist(bins=10)

C) set_bins(10)

D) bins=10

29 / 30

What is the primary purpose of data visualization?

A) To make data easier to understand and interpret

B) To create databases

C) To hide information

D) To make data look complex

30 / 30

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

A) plt.title('Title')

B) plt.heading('Title')

C) plt.set_title('Title')

D) plt.caption('Title')

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