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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.
Importing tutorial data in a Squirro Project
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Scenario 1 - Trend Detection analysis on item counts
This section guides one through the process of setting up Trend Detection on the item counts in a Squirro project over time. Furthermore, these item counts can also be filtered with a Squirro Query as filtering step before setting up the Trend Detection analysis. Both of these use-cases are covered in the subsequent subsections below.
Importing data into Squirro Project
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Trend Detection without query
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