Xmrit

Use this to remove recurring patterns or fluctuations in data at regular intervals (e.g., monthly or yearly) to reveal underlying trends or residual variations.

Modify your seasonal data or set the seasonal factors directly below. In case of conflict, the latter wins.

De-seasonalising with less than one year of data will lead to all data points being the same value.

De-seasonalising with only 1 full year of data will lead to some of the data points being the same value.

Grouping when you don't have the same number of periods will make some sub-periods artificially higher.

Use this to generate trended limit lines from a line of best fit.

Modify data in the linear regression table, or set the gradient and intercept in the equation directly below. In case of conflict, the latter wins.