A data clock is a circular chart that is divided into cells by a combination of concentric circles and radial lines, similar to the spokes on a bicycle wheel. The concentric circles divide the data in one way, such as by month, and the radial lines divide the data in a different way, such as by day of the month.
Using a data clock, you can visualize the distribution of your data in two dimensions, allowing you to look for patterns that you might otherwise miss. Data clocks are useful for visualizing trends in temporal data to understand how much data exists at different periods of time.
Data clocks can answer questions about your data, such as: What is the temporal distribution of a dataset at two different frequencies?
A crime analyst is studying theft-related crimes in her city. She wants to know which months and days of the week have the most and least incidents so that she can look for patterns and root causes of crime. A data clock can be used to visualize the relative prevalence of crimes throughout the year.
Create a data clock
To create a data clock, complete the following steps:
- Select one of the following combinations of data:
- Two string fields
- Two string fields plus a number or rate/ratio field
If you do not select a number or rate/ratio field, your data will be aggregated and a count will be displayed.
- Create the data clock using the following steps:
- Drag the selected fields to a new card.
- Hover over the Chart drop zone.
- Drop the selected fields on Data Clock.
You can also create charts using the Chart menu above the data pane or the Visualization type button on an existing card. For the Chart menu, only charts that are compatible with your data selection will be enabled. For the Visualization type menu, only compatible visualizations (including maps, charts, or tables) will be displayed.
Data clocks can also be created using View Data Clock, which is accessed from the Action button under Find answers > How has it changed?
Data clocks are symbolized using graduated colors. You can use the Legend button to view the classes and make selections based on the corresponding values on the chart. Use the Options tab to change the classification type and number of classes. The Style tab can be used to change the color palette.
When you create a data clock, a result dataset with the string and number fields used to create the chart will be added to the data pane. The result dataset can be used to find answers with nonspatial analysis using the Action button .