Heat Map
A heat map allows graphing the individual values contained in a matrix through colors. The metrics aggregation determines the color for each matrix position.
Metric Aggregations:
- Count: The count aggregation returns a raw count of the elements in the selected index pattern.
- Average: This aggregation returns the average of a numeric field. You should select a field from the drop-down.
- Sum: The sum aggregation returns the total sum of a numeric field. Select a field from the drop-down.
- Min: The min aggregation returns the minimum value of a numeric field. Select a field from the drop-down.
- Max: The max aggregation returns the maximum value of a numeric field. Select a field from the drop-down.
- Unique Count: The cardinality aggregation returns the number of unique values in a field. Select a field from the drop-down.
Enter a string in the field Custom Label to change the default display label.
However, you can split the axis through buckets aggregation to display specific information based on a determinate field.
Buckets aggregation:
- Date Histogram
A date histogram is built from a numeric field and organized by date.
You need to select the time in "Field" and specify in "Minimum intervals" a minimum time frame in minutes, hourly, daily, weekly, monthly, or yearly.
You can also specify a custom interval frame by selecting "Custom interval?", and specifying a time unitĀ in the text field "Fixed interval."
Custom interval time units are ms for milliseconds, s for seconds, m for minutes, h for hours, d for days.
Enter a string in the field Custom label to change the display label.
- Terms
A terms aggregation enables you to specify the order ascendent or descendent from the n elements "Size" of a given field to display, ordered by (metric or alphabetical.)
Enter a string in the fieldĀ Custom label to change the display label.
You can add sub-buckets by clicking the button Add sub-buckets.
If you want to customize your heat chart's appearance, click on the Options tab to modify (x-axis, y-axis, legend, visual map, toolbox, data zoom, and grid.)
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