Free Online Flashcard Deck

5 Data Visualization Free Online FlashCards

Study 5 Data Visualization with 12 free online flashcards. Review key terms, definitions, and concepts with this interactive flashcard deck.

12 cards
01
Front

What is the purpose of data visualization?

Back

Data visualization uses visual elements such as position, length, lines, and color to make patterns and comparisons easier to see.

02
Front

Which charts are useful for comparing categories?

Back

Use a bar chart or dot plot to compare values across categories.

03
Front

Why should bar charts usually start at zero?

Back

Use a common baseline, usually zero, so bar lengths represent values honestly.

04
Front

What does each bar in a histogram represent?

Back

A histogram groups numerical values into intervals, called bins; each bar shows how many observations fall in a bin.

05
Front

How can bin width affect a histogram?

Back

Changing bin widths can change a histogram’s apparent shape, so choose and label them carefully.

06
Front

What does a box plot summarize, and what can it hide?

Back

A box plot summarizes a distribution with its median, quartiles, and whiskers, but does not show every detail.

07
Front

When is a line chart appropriate, and how should time be ordered?

Back

Use a line chart for values measured over time or another ordered, continuous scale; put time in chronological order on the horizontal axis.

08
Front

When should points not be connected by lines?

Back

Avoid connecting points when their order has no meaningful continuity.

09
Front

How does a scatter plot represent two numerical variables?

Back

Use a scatter plot: place one numerical variable on each axis, with each point representing an observation.

10
Front

Does a pattern in a scatter plot prove causation?

Back

An upward or downward pattern suggests an association, but does not by itself show that one variable causes the other.

11
Front

What should you check in the data before making a chart?

Back

Check units, missing values, category labels, time intervals, and whether values are counts, rates, or percentages.

12
Front

Which visual encodings support more precise comparisons?

Back

For precise comparisons, position and length are generally easier to judge than area or volume.