Archer offer visual trends in the form of the Sparkline, a method of tracking status changes for a numeric or values list field. Trending charts enable users with immediate visibility into data trends for selected fields. This enhancement allows users to quickly interpret patterns, resulting in a more intuitive and efficient data‑analysis experience. Trending charts enable you to observe patterns in data over a specified period of time. The chart reflects a plot point for each time a field value is saved. When a field is enabled for trending with a duration period, Archer captures data for the specified field and retains the data for the duration period as trending data.

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Trending Charts

Sparkline is generated based on field types that can represent meaningful trends. Plot points displayed on the trending chart represent each time the trended value is saved. You can hover over a plot point in an enlarged view to view a tooltip consisting of the following details after saving the record.

The field value.
The timestamp (MM/DD/YYYY HH:MM:SS AM/PM) from when the value was initially selected.
The timestamp (MM/DD/YYYY HH:MM:SS AM/PM) from when the value was changed (the value "Now" displays instead of a timestamp when the value has not been changed since the previous save occurrence).
The user (Last name, First name) who saved the value.