What's New for Oracle Data Visualization Desktop
Release 12c (12.2.3)
What’s New for Oracle Data Visualization Desktop
Here’s an overview of the new features and enhancements we’ve added to Data Visualization Desktop.
Release 184.108.40.206 — June 2017
Creating and Managing Data Sources
|New data source connections||The following connection types are available, have limited support, and are marked as Beta in the user interface: OData, Oracle Docs, JDBC, and ODBC.|
|Data Source editor||Previously in Data Visualization Desktop, you used the Data Source dialog to create or edit data sources. The Data Source dialog is replaced by the Data Source editor, which provides the same functionality but is more dynamic and easier to use. See Using the Data Source Editor.|
|CSV and text file delimiters||When uploading CSV and text files for data sources, you can specify a delimiter. Your choices are: Comma, Semicolon, Space, Tab, and Custom. If you select Custom, you then specify the delimiter used in your CSV file.|
|Subject Areas as data sources||You can build data sources from Oracle Fusion Applications with Oracle Transactional Business Intelligence or Oracle BI EE subject areas. See Composing Data Sources from Subject Areas.|
|Data flow improvements||
You can save a data flow as a database connection, which stores the data flow data to a database table. See Saving Data Flow Output Data to a Database.
You can merge two or more columns in a data flow to display as one column. See Merging Columns in a Data Flow.
The Data Flow editor layout is now easier to use. See Using Data Flows to Curate Data Sources.
Creating and Working With Projects
|Visualization types||You can create box plot, horizontal box plot, and waterfall visualizations.|
|Apply top or bottom N filters||You can use the top or bottom N filter to filter a measure to display a subset of its largest or smallest values. See Applying Top or Bottom N Filters.|
|Date and time column improvements||
You can convert a text column into a true date, time, or timestamp column. See Converting Text Columns to Date or Time Columns.
You can adjust the display format of a date or time column to show a different level of granularity. See Adjusting the Display Format of Date or Time Columns.
|Canvas duplication and multi-canvas reordering||You can duplicate an existing canvas on a visualization and use the duplicate canvas as a starting point for a similar canvas. You can also manually reorder the sequence of multiple canvases in a visualization. See Adjusting the Canvas Layout.|
|Support for event data at second or millisecond grain||Line visualizations can show a continuous datetime reading on the x-axis. You can analyze data at the second or millisecond grain. Previous versions of Data Visualization Desktop supported analyzing data at the day grain, only.|
|Publish a project to Oracle Analytics Cloud||You can publish a project that you create in Data Visualization Desktop to an instance of Oracle Analytics Cloud that is using the same version or a later version of Data Visualization. You can choose to include the project’s data and connection credentials. See Publishing a Project to Oracle Analytics Cloud.|
|Custom map layers support||You can load and manage custom map layers in a project using geometric JSON files. See Adding Custom Map Layers.|
|Custom Visualization Plug-in Upload||If you want to display data in a custom visualization that was created by another user or an Administrator, then you can upload and deploy the custom visualization’s plug-in to your installation of Data Visualization Desktop. See Managing Custom Plug-ins.|
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Oracle Fusion Middleware What's New for Oracle Data Visualization Desktop, Release 12c (12.2.3)
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This document describes new features and other notable changes for Oracle Data Visualization Desktop.
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