📄️ About Visualizer
The Visualizer is a crucial component for performing Business Intelligence (BI) Analytics. It's where you actively engage in data visualization to transform raw data into actionable insights, ultimately driving data-driven decision-making.
📄️ Dashboards
Dashboards are interactive visual interfaces that consolidate and present key data points in a clear, accessible format. They enable users to monitor performance, uncover trends, and make informed decisions by visualizing complex datasets through charts, tables, and key performance indicators (KPIs).
📄️ Understanding the Visualizer
This topic introduces the user interface (UI) for data visualization. It describes the individual components of the visualizer's interface and explains the function of each part. Each of the functions are referenced to the corresponding topics.
📄️ Creating visualization or widget
1. Select a workbook to visualize data. You can choose one of the following types of workbooks:
📄️ Selecting source or workbooks
To begin visualizing data, you must first select a workbook as follows:
📄️ Understanding columns
Once the workbook is selected, the next step is to identify and add the desired columns to be visualized.
📄️ Viewing the Data Details panel
The Details panel provides in-depth information about the SQL query that powers your current widget. This panel is essential for users who want to understand exactly how their data is being fetched, filtered, and transformed.
📄️ Aggregate functions
Aggregate functions are calculations performed on a set of values to produce a single summary value. They are incredibly useful for gaining insights from large datasets by condensing information into meaningful metrics. In effect you are prompting the Visualizer to take a numerical column, perform a specific calculation (Sum, Max, Min, Average, Count, Unique Count etc.) on its values, and then display the results grouped by the categories in this other column.
🗃️ Save widget
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