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A Dot Plot is a graphical display of data using dots.

Example: Minutes To Eat Breakfast

Compute answers using Wolfram's breakthrough technology & knowledgebase, relied on by millions of students & professionals. For math, science, nutrition, history.

A survey of 'How long does it take you to eat breakfast?' has these results:

Minutes:	0	1	2	3	4	5	6	7	8	9	10	11	12
People:	6	2	3	5	2	5	0	0	2	3	7	4	1

Which means that 6 people take 0 minutes to eat breakfast (they probably had no breakfast!), 2 people say they only spend 1 minute having breakfast, etc.

And here is the dot plot:

You can create your own dot plots.

Another version of the dot plot has just one dot for each data point like this:

Example: (continued)

This has the same data as above: Calder casino hours.

But notice that we need numbers on the side so we can see what the dots mean.

Grouping

Example: Access to Electricity across the World

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Some people don't have access to electricity (they live in remote or poorly served areas). A survey of many countries had these results:

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Country	Access to Electricity (% of population)
Algeria	99.4
Angola	37.8
Argentina	97.2
Bahrain	99.4
Bangladesh	59.6
..	.. etc

But hang on! How do we make a dot plot of that? There might be only one '59.6' and one '37.8', etc. Nearly all values will have just one dot.

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The answer is to group the data (put it into 'bins').

In this case let's try rounding every value to the nearest 10%:

Country	Access to Electricity (% of population, nearest 10%)
Algeria	100
Angola	40
Argentina	100
Bahrain	100
Bangladesh	60
..	.. etc

Now we count how many of each 10% grouping and these are the results:

Access to Electricity (% of population, nearest 10%)	Number of Countries
10	5
20	6
30	12
40	5
50	4
60	5
70	6
80	10
90	15
100	34

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So there were 5 countries where only 10% of the people had access to electricity, 6 countries where 20% of the people had access to electricity, etc

Here is the dot plot:

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Percent of Population with Access to Electricity

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And that is a good plot, it shows the data nicely.