Statistical plot enhancements in Matplotlib - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the purpose of adding a title to a statistical plot?

Adding a title helps explain what the plot shows, making it easier for viewers to understand the data story quickly.

beginner

How does changing the color of plot elements improve a statistical plot?

Using different colors can highlight important parts, separate groups, or make the plot more readable and visually appealing.

beginner

What does adding gridlines to a plot do?

Gridlines help viewers better estimate values by providing reference lines across the plot, improving data interpretation.

beginner

Why use legend in a statistical plot?

A legend explains what different colors, shapes, or lines represent, helping viewers understand multiple data groups or categories.

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What is the benefit of adjusting axis labels in a plot?

Clear axis labels tell what each axis measures, so viewers know what the numbers mean, making the plot easier to understand.

Which matplotlib function adds a title to a plot?

A plt.legend()

B plt.xlabel()

C plt.title()

D plt.grid()

The function plt.title() sets the title of the plot.

What does plt.grid(True) do in a plot?

A Adds gridlines

B Changes plot color

C Removes gridlines

D Adds a legend

Calling plt.grid(True) adds gridlines to the plot for better readability.

Which parameter changes the color of plot lines in matplotlib?

A color

B label

C linewidth

D style

The color parameter sets the color of plot lines or markers.

Why is a legend important in a plot?

A To add gridlines

B To set plot title

C To change axis labels

D To explain plot elements

A legend explains what different colors or markers represent in the plot.

Which function sets the label for the x-axis in matplotlib?

A plt.ylabel()

B plt.xlabel()

C plt.title()

D plt.legend()

The function plt.xlabel() sets the label for the x-axis.

Describe three ways to enhance a statistical plot to make it easier to understand.

Think about what helps viewers quickly grasp the data story.

Explain why clear axis labels and legends are important in statistical plots.

Consider how someone unfamiliar with the data would read the plot.