What's New for Oracle Data Visualization Desktop
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 12.2.5 — January 2019
|Autonomous Data Warehouse connection enhancements||You can more easily create a connection to Oracle Autonomous Data Warehouse because key connection details are pre-populated from the selected client credentials zip file.|
|Autonomous Transaction Processing connections||You can create connections to Oracle Autonomous Transaction Processing.|
Release 12.2.5 — September 2018
Creating and Working With Projects
|Preparing data||You can use data transformation and enrichment recommendations to prepare your data before visualizing it. See Preparing Your Data Set in a Project.|
|Visualization types||You can create Grid Heatmap, Picto, 100% Stacked Bar, Horizontal 100%, 100% Area, and Correlation Matrix visualizations.|
|Map layers and backgrounds||
|Inspect object properties||You can use inspectors to view and edit the properties of standalone objects in the Home, Data, Projects, and other top-level pages. See Viewing and Editing Object Properties.|
|Data flow enhancements||
|Saving changes automatically||You can use the Auto Save option to automatically save your updates to a visualization project without repeatedly clicking Save. See Saving Your Changes Automatically.|
|Opening objects using keyboard shortcuts||You can use keyboard shortcuts to open artifacts in a new tab or window. See Keyboard Shortcuts for Data Visualization.|
|Replacing a data set in a project||You can replace a data set by re-mapping columns used in a project to columns from a different data set. See Replacing a Data Set in a Project.|
|Duplicating a data set||You can duplicate an uploaded data set listed in the Data Sets page to help you further curate (organize and integrate from various sources) data in projects. See Duplicating Data Sets.|
Release 12.2.4 — October 2017
|Use machine learning to make predictions and intelligent suggestions||You can use machine learning (ML) algorithms to show patterns and uncover insights in your data sets, and then add them to your visualizations.
Connect to more databases
|You can connect to several new data sources:
Data flow enhancements
Creating and Working With Projects
|Improved narration and storytelling features||When you use the improved narrate feature it makes presenting your data stories even easier. See Building Stories.|
|Include links to related content in your project||Enhance visualizations by offering links to related content under a handy Data Actions menu. See Working with Data Actions.|
|Numeric values in file-based data sources uploaded as measures||When you upload a file based data source, columns containing numeric values are imported as measures with the Number data type.|
|More display formatting options for numbers and dates||You can select from a wide range of number and date formats to choose the best display format for data in your visualizations. See Adjusting the Display Format of Date or Time Columns.|
|New properties area in the Data Panel||For quick and easy access, the properties of objects you select are displayed in the Data Panel. See Adjusting Visualization Properties.|
|Improved sharing||Use the to share a visualization, canvas, or story with others, as a file, by email, a printed page, and on cloud.
You can also share a project or folder only in DVA format, as a file, by email, and on cloud.
|More options to copy, paste, and duplicate||It’s often quicker to copy visualizations than starting from scratch. You can paste within the same canvas and between canvases in the same project.
Use the duplicate option to make copies of an object within the same canvas or to duplicate the entire canvas.
|Add unrelated data sets to the same project||Your projects can contain visualizations from multiple, unrelated data sets; that is, the data sets don't have to be joined.|
|Date and time intelligence||You can seamlessly transition through different levels of time hierarchies or granularities with ease.|
|Data warning indicator||Warning signs indicate possible issues with your data. If you don't want to see any warnings in your projects you can hide them. Warnings never display in printed or shared output. See Visualization Data Warning Notification.|
|Background maps||Use background maps to enhance your geographical visualizations. See Enhancing Visualizations with Map Backgrounds.|
|Coloring maps using attribute column values||You can use color features to interpret the measure columns and attribute values in projects that include map visualizations. See Interpreting Data Measure and Attribute Values by Color in Map Visualizations.|
|Brand new home page||Improved design that’s simple to navigate and easy to use. Personalize your home page to suit the way you want to work.|
|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 .|
Release 12.2.3 — June 2017
Creating and Managing Data Sets
|Connect to new data sources||New connection types are available with limited support, and are marked as Beta in the product: 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 sets, you can override the auto-detected 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.|
|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
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This document describes new features and other notable changes for Oracle Data Visualization Desktop.
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