# Difference

Make the time series stationary by replacing it with 1st or 2nd order discrete difference along its values.

**Inputs**

- Time series: a dataset, often as output by As Timeseries widget.

**Outputs**

- Time series: differences of input time series.

- Select the series to difference.
- Order of differencing. Options are first or second order difference, change quotient and percentage change.
- The shift before differencing. Value of 1 equals discrete differencing. You can use higher values to compute the difference between now and this many steps ahead.
*Invert differencing direction*compute differences from latest to oldest.

To integrate the differences back into the original series (e.g. the forecasts), use the Moving Transform widget.

## Example

In this example, we are using the Yahoo Finance data for Amazon stocks for the past 6 years. We pass the data to **Difference** to compute the daily change in the high value of stocks. We observe the change in the Line Chart widget.