Labels, titles, and legends in Data Analysis Python - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the purpose of a title in a data visualization?

A title gives a clear and simple description of what the chart or graph is about. It helps the viewer understand the main topic quickly.

beginner

How do axis labels help in a chart?

Axis labels tell what each axis represents, like time, quantity, or categories. They make the chart easier to understand by explaining the data shown on each axis.

beginner

What is a legend in a chart?

A legend explains the symbols, colors, or patterns used in the chart. It helps identify what each part of the chart means, especially when there are multiple data groups.

intermediate

In Python's matplotlib, which functions add titles, axis labels, and legends?

Use plt.title() for the title, plt.xlabel() and plt.ylabel() for axis labels, and plt.legend() to add a legend to the plot.

beginner

Why is it important to include labels, titles, and legends in your charts?

They make charts clear and easy to understand. Without them, viewers might not know what the data means or what to focus on.

Which matplotlib function adds a title to a plot?

A plt.plot()

B plt.legend()

C plt.xlabel()

D plt.title()

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

What does a legend in a chart do?

A Labels the x-axis

B Explains colors or symbols used

C Shows the chart's title

D Sets the background color

A legend explains the meaning of colors or symbols in the chart.

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

A plt.ylabel()

B plt.legend()

C plt.title()

D plt.xlabel()

plt.ylabel() sets the label for the y-axis.

Why should you add axis labels to a chart?

A To explain what data each axis shows

B To decorate the chart

C To add a legend

D To change the chart colors

Axis labels explain what each axis represents, making the chart easier to understand.

If a chart has multiple lines, what helps viewers know which line is which?

A Title

B Axis labels

C Legend

D Grid lines

A legend identifies each line or group in the chart.

Explain how titles, axis labels, and legends improve the clarity of a data visualization.

Think about what each part tells the viewer about the chart.

Describe how you would add a title, axis labels, and a legend to a line chart using Python's matplotlib.

Recall the matplotlib functions for labeling.