Welcome back to the final installment of our exploration into the latest upgrades in SAS Visual Analytics in SAS Viya for Learners 4. In part 1, we covered the general enhancements, and in part 2, we took a deep dive into the creation of data items, including calculated expressions and dynamic features. Now, in part 3, we will turn our focus to the powerful world of objects within SAS Visual Analytics. Get ready to discover how these versatile tools can transform your data visualization and analysis, making your analysis more insightful and impactful than ever before. Let's dive in!
Crosstabs and List tables:
Cell graphs in crosstabs and list tables are now known as cell visualizations.
When you select the Totals option, the Subtotals option, or both options for a crosstab in a report that you are designing, you can select or deselect the individual category and measure data items that you want to be displayed.
When you are viewing a report, a new pop-up menu enables you to select/deselect totals and subtotals in a crosstab.
You can now export crosstab and list table data with its structure preserved to a Microsoft Excel workbook.
Automated Explanation:
The automated explanation object now displays geographic maps when the response variable is a measure, and the selected underlying factor is a geography.
Automated explanation objects identify extreme values (possible outliers) in the characteristics summary. The full list of values is displayed in the Anomalies tab of the details table.
You can now explain the characteristics of a data item, in an object in a pop -up window. The pop-up window displays the same summary description that is displayed in an automated explanation.
Geo Maps:
For geo coordinate objects and geo region-coordinate objects, the Enable data label thinning option hides data labels as needed to avoid overlapping text.
The new geo pie object enables you to display your data as pie charts on a geographic map. You can use the geo pie object to display the distribution of category values for each location or region on the map.
The new geo bubble and geo cluster objects provide dedicated objects for functionality that was previously part of the geo coordinate object.
For geographic mapping objects, a new Change type option enables you to change a specific data layer in the map to a different type of map layer.
Additional enhancements:
You can now display a search field in the list control. The search field enables report users who are designing or editing reports to find specific values that they want to select or clear in the list.
The scatter plot object has a new Automatic setting for the Marker size option, which can make dense scatter plots easier to read.
What If for forecasting is now available for both report viewers and report designers and has a redesigned interface. The interface is now more intuitive to use and includes a natural language explanation of the results.
Scenario Analysis and Goal Seeking are two separate interfaces, making it more in-line with other SAS tools with these features. A history cutoff filter allows users to zoom in on the forecast and make it easier to view changes. A natural language summary describes what happened with each forecast, providing 5 insights.
Editing titles and rich text now brings up its own text editing interface. Instead of typing directly in the report, a separate interface is displayed to the user to edit the text. All the expected features of a rich text editor are available, such as custom color selection, font type, font size, dynamic variables and more.
Excited to check out all the new features in SAS Visual Analytics in SAS Viya for Learners? Educators and students can sign up for free access to SAS Viya for Learners using an academic email address.
Did you miss my previous posts? If so, please check out Part 1 and Part 2.
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