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In the second scenario, we will set up trend detection on change in the values of numerical facet of a Squirro item over time. For this scenario, we are going to use an anonymized ITSM dataset. Please download the csv dataset from here if you want to follow along with the tutorial. Every row in the dataset contains three fields i.e. "date", "title" and "calls". Please note that this dataset does not contain any textual data because trend-analysis is done purely on numerical data.
Scenario 1 -
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Trend Detection analysis on item counts
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A new trend-detection can now be set up using the Squirro UI. Please follow the screenshots below that will guide through the process of setting up new trend-detection one by one. Once set up, the detected anomalies can then be visualised on the dashboard using a Trend widget (covered later).
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set up Trend-Detection with query
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visualizations
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Scenario 2 -
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Trend Detection analysis on numerical facets
set up Trend Detection on numerical
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facet
- One can also use the "Create Trend" modal to create a new trend detection on a numerical facet.
- In the presence of a numerical facet, the "Create Trend" dialog will have an extra checkbox to set up the trend detection on a numerical facet rather than the item counts
- Using this "Numerical Aggregation" checkbox, one can select a particular numerical facet of interest.
- Once a numerical facet has been selected, one can choose the aggregation method to be used on the numerical facet before setting up the trend detection. Possible options for aggregation are: Sum, Average, and Minimum.
- The rest of the workflow for setting up the Trend Detection is similar to the workflow for setting up the Trend Detection on the item-counts.
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