Buy and download this 1.5(IQR) Outlier Ratio Analysis Template for $625 CDN to find time series segments in your data using the 1.5(IQR) Outlier Rule. You are guaranteed to find anywhere between 0 and 13 time series segments with this template, as it currently assumes that you have 12 columns of data to analyze. Simply click one button, and the time series algorithm will find time series patterns within your data. The template will score your dataset with a new variable so that you can visualize the patterns over your 12 periods of data. You can read the 311 Call Centre Performance: Rating Service Levels article for more details about the template: the free code referenced at the top of this article is no longer publicly available. Use this process instead of clustering algorithms which are more difficult to interpret and more sensitive to statistical outliers.
This template uses the 1.5(IQR) Outlier Rule to find and segment datasets based on daily, weekly, monthly, quarterly, or yearly periods. Do the 1.5(IQR) Outlier Tutorial to learn how the 1.5(IQR) Outlier Analysis Rule works and how you can use it to find time series segments. The tutorial guides you through 16 steps to find statistical outliers in data. At each step, you are given specific explanations to understand the outlier identification process. Use the 1.5(IQR) Outlier AddIn, and you receive custom messages that pop-up on screen to further explain and interpret outlier analysis results at each step in the tutorial. The end of the tutorial talks about different options for doing Post Outlier Analysis: Forecasting Before and After Statistical Outliers Replaced.
