Visualization and Analytics


Overview of In-Document Analytics (8207)

Content that uses In-Document Analytics provides users with an interactive interface that allows the generation of real-time, dynamic reports, charts, and dashboards. Its versatility allows you to package a data set with a combination of analytical views, resulting in highly intuitive and interactive self-service business intelligence. This gives you an edge in presentation and analysis, making it easy to develop and share concepts, ideas, and scenarios. An interactive report is a self-contained report, meaning that it contains all the data and JavaScript® within the HTML output file.

Adding a Comment to an In-Document Analytics Report

You can add comments to the individual cells within an interactive report that use In-Document Analytics capabilities, to include information explaining your data, where it appears. For example, if you include data for Gross Profit, and you would like to include a comment about the decrease over the course of a quarter or year, you could add a comment to the Gross Profit cell that you want to call out. Recipients of this interactive report can view, and reply to your comments. Commenting is only available from the Cell menu on any given cell when creating a report.

391I8206: Self-Service Analytics With InfoAssist (Advanced Techniques)

This course goes beyond the basics to show you how to use Information Builders’ InfoAssist for governed self-service reporting, analysis, and data discovery. Besides point-and-click methodologies, it also covers techniques and best practices to gain more insights about your data.

You will learn how to:

390S8206: Self-Service Analytics With InfoAssist (Basic Techniques) (Self-Study)

This course will show you how to use Information Builders’ InfoAssist, an enterprise-grade analytics tool connected to the WebFOCUS BI and analytics platform, for governed self-service reporting, analysis, and data discovery. It will also introduce you to the WebFOCUS BI infrastructure and background information necessary to use InfoAssist effectively.

390I8206: Self-Service Analytics With InfoAssist (Basic Techniques)

This course will show you how to use Information Builders’ InfoAssist, an enterprise-grade analytics tool connected to the WebFOCUS BI and analytics platform, for governed self-service reporting, analysis, and data discovery. It will also introduce you to the WebFOCUS BI infrastructure and background information necessary to use InfoAssist effectively.

Filtering Overview for In-Document Analytic Reports

You can add filters to interactive reports that are enabled with In-Document Analytics capabilities to control the display of information in the reports and to give your recipients or end-users the ability to focus on a specific set of data for additional analysis. Filters can be created by both the report developer, and the end-user, using the options in the Column menus.   

To access the Column menu:

Video: In-Document Analytics Enhancements

Hello, and welcome to this Key Feature video on In-Document Analytics, a tool that provides an interactive interface, giving you the ability to generate real-time, dynamic reports, charts, and dashboards. Its versatility allows you to package a data set with a combination of analytical views, resulting in highly intuitive and interactive self-service business intelligence. This gives you an edge in presentation and analysis, making it easy to develop and share concepts, ideas, and scenarios.

Video: How to Work With the Column Menu

Hello, and welcome to this video on Working With the Column menu. The column menu offers lots of options, including the ability to show column totals, set filters, and use the Chart Rollup and Pivot Tools.
The column menu displays when you click a column in a report. You can work with formatting tools, chart type options, and even highlight different aspects of your data. The Column menu gives you more control over what displays in your report.

Generating a Statistical Box Plot Chart

A box plot shows a series broken down into quartiles for each group value. In a box plot, each series and group requires five values. For a given series and group box, the first value is the minimum (lower hat or whisker), the second defines the box bottom (first quartile), the third value is the median (second quartile), the fourth value defines the box top (third quartile), and the fifth value defines the maximum value (top hat or whisker). Outliers are drawn as separate points.