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](as_timeseries.md) widget.

**Outputs**

- Time series: differences of input time series.

![](images/difference.png)

1. Select the series to difference.
2. Order of differencing. Options are first or second order difference, change quotient and percentage change.
3. 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](moving_transform_w.md) widget.

Example
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In this example, we are using the [Yahoo Finance](yahoo_finance.md) 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](line_chart.md) widget.

![](images/Difference-Example.png)