Week 7-8 Quiz: Advanced Data Visualization Techniques

What is the primary purpose of advanced data visualizations?

• a) To clean data
  

• b) To analyze relationships and trends in detail
  

• c) To predict future outcomes
  

• d) To replace statistical analysis

Which visualization would you use to compare distributions between multiple categories?

• a) Scatter plot
  

• b) Histogram
  

• c) Boxplot
  

• d) Line chart

Which parameter in sns.histplot() controls the number of bins in a histogram?

• a) bins
  

• b) kde
  

• c) group
  

• d) intervals

What does a pairplot in Seaborn display?

• a) Multiple histograms
  

• b) Relationships between pairs of variables
  

• c) A single variable’s summary
  

• d) Time-series trends

How do you combine multiple plots into one figure in Matplotlib?

• a) plt.subplots()
  

• b) plt.multi()
  

• c) plt.merge()
  

• d) plt.figure()

Which function in Matplotlib allows you to create a bar chart?

• a) plt.bar()
  

• b) plt.barplot()
  

• c) plt.chart()
  

• d) plt.barchart()

How can you display gridlines in a Matplotlib plot?

• a) plt.grid(True)
  

• b) plt.show_grid()
  

• c) plt.add_grid()
  

• d) plt.gridlines()

Which of the following is an advanced visualization used to display correlations?

• a) Scatter plot
  

• b) Heatmap
  

• c) Histogram
  

• d) Line chart

How do you add a title to a Seaborn plot?

• a) sns.title()
  

• b) plt.set_title()
  

• c) plt.title()
  

• d) sns.add_title()

Which argument in Seaborn visualizations controls the color palette?

• a) palette
  

• b) cmap
  

• c) color
  

• d) theme