Data Visualisation — Quiz | Data Analytics using Python

Question 1

Which is the professional way to create a Matplotlib chart you fully control?

A plt.plot() only

B fig, ax = plt.subplots()

C plt.draw()

D chart()

Question 2

Seaborn is best described as…

A a database tool

B Matplotlib with beautiful defaults and one-line statistical plots

C a spreadsheet

D a web framework

Question 3

Which library is the go-to for INTERACTIVE charts (hover, zoom)?

A Matplotlib

B Plotly

C openpyxl

D NumPy

Question 4

To compare a value across several categories, the best default chart is a…

A pie chart

B bar chart

C scatter plot

D histogram

Question 5

To show a trend over time you should use a…

A pie chart

B line chart

C heatmap

D boxplot

Question 6

To show the relationship between two numeric variables, use a…

A bar chart

B scatter plot

C pie chart

D table

Question 7

Why are pie charts with many slices discouraged?

A They use too much ink

B Humans compare angles poorly; bars are clearer

C They are slow to render

D They cannot show percentages

Question 8

Which is a core visual-design principle?

A Add 3-D effects

B Maximise data-ink; remove chart-junk

C Use as many colours as possible

D Always start the axis above zero

Question 9

Truncating a bar chart's y-axis (not starting at zero) is bad because it…

A saves space

B exaggerates differences and misleads

C is required by Matplotlib

D improves accessibility

Question 10

Which is an accessibility best practice for charts?

A Rely on colour alone

B Use tiny fonts

C Do not depend on colour alone; use labels/patterns and colour-blind-safe palettes

D Use red and green together

Question 11

What does Streamlit let you build?

A A database

B An interactive web app/dashboard from a Python script

C A spreadsheet

D A machine-learning model

Question 12

How do you run a Streamlit app named app.py?

A python app.py

B streamlit run app.py

C run streamlit app.py

D flask run