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Voronoi treemap

Description

A Voronoi treemap plots points on a two-dimensional plane and draws polygons around each point such that the distance from the center point to an edge of its polygon is equal to the distance from the same edge to the point in the adjacent polygon. Polygons can be subdivided by secondary parameters.

Required field	Data type
Signals	Discrete variable of any data type except ip. If you want to include IP addresses in a Voronoi diagram, be sure that they are first converted to string values in the query.
Value	Number

Creating a Voronoi treemap

Here we describe how to create this chart using an example. We want to analyze the distribution of flights and flight delays depending on the airline.

The following video shows the Voronoi building process and also different ways to get additional information from the diagram:

These are the steps to follow:

Go to Data Search and open the required table.
Perform the required operations to get the data you want to use in the chart.
Select Additional tools → Charts → Diagram → Voronoi treemap from the query toolbar.
Click and drag the column headers to the corresponding fields.
The Voronoi treemap is displayed. This is a visual depiction of the number of flights (the Count value) by airline over one week, with each day depicted by a number within each large cell.

Customizing the Voronoi treemap

Several options for customizing how you want to visualize this information appear above the treemap:

Size by	This dropdown list contains those values specified when generating the treemap. In this example, you can choose between determining cell size based on number of flights (Count) or average flight delay (ArrivalDelayInt).
Color by	By default, colors are applied randomly. Use this option if you want to apply colors based on one of the values used to generate the chart.
Search	Enter text to search for a value in the Voronoi map.
Filter	Enter text to filter the chart by a specific value.
LEGEND	This is a path that lists the fields added as signals. The first signal in the path is the primary cell grouping, followed by subsequent groupings. Click and drag to change the order of the signals in the path to change the grouping order for cells in the chart.
VALUES	When drilling-down into the cells, this shows the values of each grouping.

Click the information icon to display a list of keyboard shortcuts that you will use to navigate the chart and to modify its style and layout:

Types of visualization

T Treemap	Cells are drawn from left to right according to their weight.
F Fisheye	The larger cells appear in the center.
B Blackhole	Smaller cells appear in the center.
R Random	The cells are randomly distributed.
O Ordered	Cells are drawn from top to bottom according to their weight. A cell's size corresponds to its weight.
S Squarified Treemap	The cells are rectangular. Cells are drawn from left to right according to their weight. A cell's size corresponds to its weight.
D Squarified Ordered	The cells are rectangular. Cells are drawn from top to bottom according to their weight. A cell's size corresponds to its weight. By default, in [F], [B] and [R], a cell size does not correspond exactly to its weight (the weight is set by Count or ArrivalDelayInt). In these cases, this is the best view in order to see as many nodes as possible (the cell size is calculated using a Logarithmic function).
P Flattened / Not Flattened visualization	Flattened visualization of all branches, without having to do a drill-down. The Flattened option can be applied to all previous visualization options. Pressing P again will return it to the normal visualization.

Options applicable to all visualizations

Left click	Select group, click again to deselect.
CTRL + Left click	Select multiple groups.
Left double click	Expose group.
SHIFT + Left double click	Focus on a group. Select a group of cells and analyze them as if they were a separate Voronoi map.
Left click-and-hold	Open a group of cells (drill-down).
Right double click	Close group.
SHIFT + Right double click	Blur group.
Right click-and-hold	Close group.
Mouse wheel	Zoom in / out
Mouse drag	Pan around zoomed visualization.
ESC	Unexpose & close all groups.
G	Displays detailed information in each cell. Left-click on the cell and then press G. A window will open to the right that will display the following information: Number of children (0 if it is the last branch). Total number of nodes. All parents (0 if it is the top branch). Aggregated values and percentage of the total. Compare multiple cells: By pressing CTRL + cell, you can add cells to the window on the right to compare information (children, nodes, parents and aggregated values). By hovering the mouse over a cell (without clicking), it can be compared to previously added cells.
%	Show / hide percentage in the legend.
V	Show / hide value in the legend.
A	Show / hide percentage of total in the legend.
Z	Show / hide zero values.
L	Calculate cell size using a logarithmic value. This is the best view in order to see as many nodes as possible. Nodes with 20% of the total weight can be the same size as nodes with 5% of the total weight.
N	Calculate cell size using a value. A cell's size corresponds to its weight. Nodes with 20% of the total weight will represent 20% of map's total size, whereas nodes with 1% of the total weight may not even be seen.
M	Show / hide values as bytes.
C	Show / hide values as time (Chrono style).
?	Show / hide this help.

Other Voronoi layouts

Example 1

Visualization of flight delays (ArrivalDelayInt column) by airline over the last week.

Press D to apply the Squarified Ordered visualization.
Press N to calculate the cells size using their weight.
Select count in the Color by field.

The range of colors shows the number of flights (maximum is red, minimum is green) and the cell size represents the delay (the larger they are, the longer the delay).

Example 2

Visualization of the delayed arrival (ArrivalDelayInt) by airline over the last week.

Press G and select Alaska Airlines and AirTran Airway by clicking the cells. Move the mouse over the ATA Airlines cell to compare it to the other ones.
Hit the G key again to go back.

Export a Voronoi treemap to a dashboard

A Voronoi treemap created in a data table can be directly exported to a dashboard clicking this icon:

You have to perform an aggregation to make this option available.

After clicking it, you will see the window below. Fill the required information and click Export to send the chart to a dashboard. Click here to learn more about Devo dashboards.

These are the fields to fill in:

Data source	Name	Give a name to the data source.
	Description	Enter a description for the data source.
	Tags	Add tags to the data source.
	Build From	Select the date you want events to be sent from.
	Minimum Aggregation Period	The minimum period to be used in the data aggregation. Select between Auto, 1 minute, 5 minutes or 1 hour.
	In real time	Check this option if you want data to be sent in real time. If not, uncheck it and select the time difference between the last event and current timestamps in the Delay field.
Dashboards	Name	Choose an already existing dashboard or create a new one.
Widget Name	Name	Enter a name for the widget.

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