Learn about the latest additions to the application.
This topic describes new features in Oracle Data Visualization. The new features include:
Visualize data in Oracle Applications
You can use analyses and logical SQL statements from existing Oracle applications as data sources for projects. See Connecting to Oracle Application Data Sources.
Visualize data in databases
You can use data from databases as data sources for projects. See Connecting to Database Data Sources.
Size of data files to upload
You can now upload data files up to 50 MB in size. See About Adding a Spreadsheet as a Data Source.
Modify uploaded data sources
You can modify uploaded data sources including editing columns, and creating new ones for use in projects. See Modifying Uploaded Data Sources.
Use new and enhanced visualization types
Visualize data using donut charts and see data series trends using a trend line. You can also link to URLs and insights in tiles, images, and text boxes, and use Chrome for Windows or Android to dictate descriptions. See Adjusting Visualization Properties.
Customize your color schemes
Create custom color palettes and apply color to data elements in specific ways. See Working With Color.
Move filter panels in projects
Detach and reattach the filter panel to increase canvas space for exploring data in visualizations. See Moving Filter Panels.
Data wrangling — update data sources after upload
Make updates to existing data sources including editing columns, and creating new ones for use in projects. See Modifying Uploaded Data Sources.
Share reports with others on a read-only basis
Give people limited access to your reports. Let them view and interact with visualizations without worrying about compromising the data. See Investigating Data Only Using Interactions.
New ways to present data visualizations:
Donut charts – Similar to pie charts
Tile views – Performance tiles present a distilled analysis of data
Text boxes – Annotate your data with text
Change data blending
You can change the way that the system automatically blends the data from two data sources. See Changing Data Blending.