A data analyst is creating a bar chart with 10 categories. The default color palette makes it hard to distinguish between categories. The analyst wants to use a colorblind-friendly palette. Which approach is most appropriate?

Use a Seaborn color palette like 'colorblind' via sns.set_palette('colorblind')

Use the default Matplotlib color cycle

A data analyst is creating a scatter plot of 50,000 customer data points (age vs. annual spending). The plot is so dense that it appears as a solid black blob, hiding any patterns. Which technique would best reveal the underlying density of the data?

Use a hexbin plot or a 2D histogram

Use a line chart connecting the points in order of age

Remove all outliers from the dataset

A data analyst wants to create a series of Seaborn plots for a presentation and wants them all to have a consistent, professional look with a white grid background and no top or right spines. Which approach is most appropriate?

Call sns.set_theme(style='whitegrid') at the beginning of the script

Use plt.style.use('seaborn-whitegrid')

Manually set spines for each plot using sns.despine()

Call sns.set_style('darkgrid') for each plot

Python InstitutePCAD - Certified Associate in Data Analytics with Python

Domain 5Objective 1

Data Visualization Techniques PCAD-31 Practice Questions (Page 1)

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 1–5

1expert · medium
A data analyst is creating a bar chart with 10 categories. The default color palette makes it hard to distinguish between categories. The analyst wants to use a colorblind-friendly palette. Which approach is most appropriate?
Select an answer first
2foundation · easy
Which Seaborn function is used to create a histogram with an optional kernel density estimate?
Select an answer first
3application · medium
A data analyst is creating a scatter plot of 50,000 customer data points (age vs. annual spending). The plot is so dense that it appears as a solid black blob, hiding any patterns. Which technique would best reveal the underlying density of the data?
Select an answer first
4foundation · easy
Which chart type is most effective for showing the trend of a numeric variable over time?
Select an answer first
5application · medium
A data analyst wants to create a series of Seaborn plots for a presentation and wants them all to have a consistent, professional look with a white grid background and no top or right spines. Which approach is most appropriate?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to PCAD-31

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by Python Institute. “PCAD-31” is a trademark of its owner, used for identification only.

Data Visualization Techniques PCAD-31 Practice Questions (Page 1)

Questions 1–5

A data analyst is creating a bar chart with 10 categories. The default color palette makes it hard to distinguish between categories. The analyst wants to use a colorblind-friendly palette. Which approach is most appropriate?

Which Seaborn function is used to create a histogram with an optional kernel density estimate?

A data analyst is creating a scatter plot of 50,000 customer data points (age vs. annual spending). The plot is so dense that it appears as a solid black blob, hiding any patterns. Which technique would best reveal the underlying density of the data?

Which chart type is most effective for showing the trend of a numeric variable over time?

A data analyst wants to create a series of Seaborn plots for a presentation and wants them all to have a consistent, professional look with a white grid background and no top or right spines. Which approach is most appropriate?

Keep studying — Data Communication and Visualization