Trend lines are a useful tool for visualizing data trends in chart widgets. By turning on trend lines, you can easily see how your data changes over time. This article will explain how to see trend lines and the different types of trend lines available.

To see trend lines in chart widgets, click on a widget and then choose a metric for which you would like to add a trendline to. Once you do that, click on "Settings", find the section for "Trendline", and choose what type you would like to see in the widget:

Once you have chosen the trendline, you will see a line added to your chart for each selected metric.

There are four types of trend lines available in chart widgets: linear, exponential, polynomial, and moving average. Each type of trend line is best suited for different types of data.

Linear - a linear trend line is a best-fit straight line that is used with simple linear data sets. Your data is linear if the pattern in its data points resembles a line. A linear trend line usually shows that something is increasing or decreasing at a steady rate.

Exponential - an exponential trend line is a curved line that is used when data values rise or fall at constantly increasing rates. If your data contains zero or negative values, you cannot create an exponential trend line.

Polynomial - a polynomial trend line is a curved line that is used when data fluctuates. It is useful, for example, for analyzing gains and losses over a large data set.

Moving Average - a moving average trend line smooths out fluctuations in data to show a pattern or trend more clearly. A moving average uses a specific number of data points (set by the Period option), averages them, and uses the average value as a point in the line.