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Merge pull request #204171 from pritamso/Broken-link-fix-mrbullwinkle
Broken link fix
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articles/cognitive-services/Anomaly-Detector/includes/quickstarts/anomaly-detector-client-library-python.md

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## Load time series data from a file
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Download the example data for this quickstart from [GitHub](https://github.com/Azure-Samples/AnomalyDetector/blob/master/sampledata/request-data.csv):
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Download the example data for this quickstart from [GitHub](https://github.com/Azure-Samples/AnomalyDetector/blob/master/sampledata/univariate/request-data.csv):
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1. In your browser, right-click **Raw**.
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2. Click **Save link as**.
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3. Save the file to your application directory, as a .csv file.

articles/cognitive-services/Anomaly-Detector/tutorials/batch-anomaly-detection-powerbi.md

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## Prerequisites
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* An [Azure subscription](https://azure.microsoft.com/free/cognitive-services)
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* [Microsoft Power BI Desktop](https://powerbi.microsoft.com/get-started/), available for free.
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* An excel file (.xlsx) containing time series data points. The example data for this quickstart can be found on [GitHub](https://github.com/Azure-Samples/AnomalyDetector/blob/master/sampledata/example-data.xlsx)
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* An excel file (.xlsx) containing time series data points.
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* Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesAnomalyDetector" title="Create an Anomaly Detector resource" target="_blank">create an Anomaly Detector resource </a> in the Azure portal to get your key and endpoint.
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* You will need the key and endpoint from the resource you create to connect your application to the Anomaly Detector API. You'll do this later in the quickstart.
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