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Oct

22

2020

Teknion Webinar Archive: Identifying Seasonal Data with Time Series in Alteryx

By: Teknion Data Solutions Team

IDENTIFYING SEASONAL TRENDS INSIDE TIME SERIES DATA CAN BE DIFFICULT...

Forecasting those trends can prove even trickier. In this session, Teknion Data Scientist and Client Success Leader, Dr. J. Kyle Roberts discusses strategies for handling the seasonality dimension in time series analysis. Re-watch this hands on session and utilize the resources found below to follow along.

Raw Data Files

Code for R tool in Alteryx (Developer tab or search “R” in Alteryx)
 
set.seed(250)
timeseries=arima.sim(list(order = c(1,1,2), ma=c(0.32,0.47), ar=0.8), n = 50)+20
ts<-data.frame(id=1:50, score=timeseries[2:51])


write.Alteryx(ts, 1)

 

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