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A pharmaceutical client wants to see a Freeform Table in Analysis Workspace that lists out all the Products by the number of visits each of its website pages receive. Each product can have varying number of pages but has a unique product name included in all its URLs. The client also wants to ensure that the Products in the Freeform Table are arranged in a specific order by product name.
How would an analyst use segments to do this?
The best way to use segments to create a Freeform Table in Analysis Workspace that lists out all the Products by the number of visits each of its website pages receive is to create segments for all of the product names by page name and drag and drop them in order into the Table Builder of a Freeform Table with Visits. The Table Builder is a tool that allows you to customize your table layout by dragging and dropping dimensions, metrics, or segments into rows or columns. Creating segments for all of the product names by page name will ensure that only the pages that belong to each product are included in the table. Dragging and dropping them in order into the Table Builder will arrange them by product name as desired.
References: https://experienceleague.adobe.com/docs/analytics/components/table-builder/table-builder-overview.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/table-builder/table-builder-overview.html?lang=en#table-builder-in-freeform-tables
A chart displaying the daily trend of Orders and their performance against the daily average for the last month is needed.
How can this requirement be met?
The best way to display the daily trend of Orders and their performance against the daily average for the last month is to use a Line Visualization to trend the Orders and the daily average as a Calculated Metric in the same chart. A Calculated Metric can be created by using the Average function on Orders and applying a date range of last month. A Line Visualization can show both metrics as lines on the same chart, allowing for easy comparison.
References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/calculated-metrics/calculated-metrics-overview.html?lang=en https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/calculated-metrics/calculated-metrics-overview.html?lang=en#creating-a-calculated-metric https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/visualizations/line-visualization.html?lang=en
Refer to the exhibit.
Analyzing results from multinational e-commerce, a data analyst realizes much of the product view results and orders are being mapped to an "Unspecified" department name.
What is the probable cause?
Product Department is a classification of product data that can be used to group products into meaningful categories. If some products are showing up as ''Unspecified'' in the report, it means that they are not correctly classified or updated in the classification file.
References: https://experienceleague.adobe.com/docs/analytics/components/classifications/classifications-overview.html?lang=en
Which is a benefit of using a Virtual Report Suite?
A Virtual Report Suite is a subset of data from an existing report suite that is based on a segment. It allows business users to see only the data that is relevant to them without affecting the original report suite data. It does not provide the ability to customize variable settings or names per Virtual Report Suite, nor does it enable real-time reporting.
References: https://experienceleague.adobe.com/docs/analytics/components/virtual-report-suites/vrs-overview.html?lang=en https://experienceleague.adobe.com/docs/analytics/components/virtual-report-suites/vrs-faq.html?lang=en
A web analyst is viewing a report in an Analysis Workspace freeform table and sees a dark gray triangle.
What is this specifying in the report?
A dark gray triangle in a report indicates that a data anomaly has been detected for that data point. It means that the value is significantly different from the expected range based on historical data and seasonality.
References: https://experienceleague.adobe.com/docs/analytics/analyze/analysis-workspace/predictive-analytics/anomaly-detection.html?lang=en#anomaly-detection-in-analysis-workspace
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