Example of Squarifying Data

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Essential Graphing • Treemaps • Additional Examples of the Treemap Platform • Example of Squarifying Data

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Example of Squarifying Data

In a treemap, squares can often be difficult to compare at a glance. The Squarify option lets you compare similar values easily by arranging the squares according to size. With the San Francisco crime sample data, use Squarify to enhance your analysis.

To squarify data, follow these instructions:

1.

Select Help > Sample Data Library and open San Francisco Crime.jmp.

2.

Select Graph > Legacy > Treemap.

3.

Select Category and click Categories.

4.

With Category highlighted, click Coloring.

5.

Figure 10.14 Crime Frequencies

Each square represents a different crime. The size of the square depends on how frequent the crime occurred over a certain period of time.

It appears that Larceny/Theft is the most frequently committed crime. However, determining the next frequent crime is difficult to see.

6.

From the red triangle menu, select Layout > Squarify.

Figure 10.15 Squarify Crime Data

After squarifying the treemap, the largest value is in the top left corner and the smallest value is in the bottom right corner. Now that the squares are arranged by value, you can see the next most frequent crime, Other Offenses, followed by Non-Criminal, Assault, Vandalism, and so on. Notice the most infrequent crime, Extortion, represented by the smallest square in the bottom right.

Tip: Use the magnifying tool to zoom in on the smaller squares to make them more visible.

In the original graph, the square that represented Extortion was difficult to compare. In the squarified graph, you can find the biggest and smallest values as well as compare similar values.

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Help created on 7/12/2018