A data analyst needs to create a 2x2 grid of four line charts showing sales trends for four different product categories. They want each subplot to have its own title and the overall figure to have a shared title. Which approach is most appropriate?

Use plt.figure() and then plt.plot() four times on the same axes

Use plt.subplots(4) and then set fig.suptitle()

Use plt.subplot(2, 2, 1) four times and then call plt.title() once

Use plt.subplots(2, 2) and then set titles on each axis and a figure-level title with fig.suptitle()

Python InstitutePCAD - Certified Associate in Data Analytics with Python

Domain 5Objective 1

Data Visualization Techniques PCAD-31 Practice Questions (Page 6)

Part of the Data Communication and Visualization domain, which accounts for 10.4% of the PCAD-31 exam. Python Institute does not publish an official question count, but from its 60-minute exam (~25–40 total, ~3–3 in this domain), expect 2–2 from this objective — we provide 39 practice questions to prepare you well beyond it. (estimate)

39questions here

8free pages

12concepts

10.4%of the exam

Questions 26–30

26foundation · easy
Which Matplotlib function creates a figure and a grid of subplots in one call?
Select an answer first
27foundation · easy
Which Matplotlib function is most appropriate for visualizing the distribution of a single numeric variable?
Select an answer first
28foundation · easy
Which Matplotlib function is used to create a simple line plot from a list of y-values?
Select an answer first
29application · medium
A data analyst needs to create a 2x2 grid of four line charts showing sales trends for four different product categories. They want each subplot to have its own title and the overall figure to have a shared title. Which approach is most appropriate?
Select an answer first
30foundation · easy
You have a dataset with two numeric variables and want to see if they are correlated. Which chart type is most suitable?
Select an answer first

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Data Visualization Techniques PCAD-31 Practice Questions (Page 6)

Questions 26–30

Which Matplotlib function creates a figure and a grid of subplots in one call?

Which Matplotlib function is most appropriate for visualizing the distribution of a single numeric variable?

Which Matplotlib function is used to create a simple line plot from a list of y-values?

A data analyst needs to create a 2x2 grid of four line charts showing sales trends for four different product categories. They want each subplot to have its own title and the overall figure to have a shared title. Which approach is most appropriate?

You have a dataset with two numeric variables and want to see if they are correlated. Which chart type is most suitable?

Keep studying — Data Communication and Visualization