Oracle AI Data Platform Workbench
Tutorials
Learn about Oracle Analytics Cloud by following these tutorials.
New
Prepare Data
- Transform and enrich data
- Apply repair recommendations to US zip codes
- Assess and improve data quality
- Change table column headings
- Add your own semantic types
- Constrain filter values
- Standardize values
- Apply custom semantic types to your data
- Calculate duration using dates
- Prepare data with regular expressions
Prepare Data with Data Flows
Create Datasets
Create and Use Parameters
- Create a date part parameter
- Bind a parameter to a derived date
- Create a dimension and measure selector
- Create and bind a parameter to exclude filter values
- Bind a request variable to a parameter
- Create a top bottom N parameter
- Bind parameters to range filters
- Create what-If analysis using parameters
- Bind a double column list filter to a parameter
- Pass parameter values in an Oracle Analytics URL
Explore Data
- Apply an exclusion list filter to all canvases
- Create your first visualization
- Apply conditional formatting to subtotals and grand totals
- Export your Oracle Analytics workbook to Excel
- Configure the limit values by for filters property
- Create your first visualization with data from Oracle Autonomous Database
- Create a Sankey visualization
- Import and export a workbook
- Add a legend visualization to a workbook
- Create workbook canvases and visualizations
- Create a presentation using auto mode
- Create a presentation using manual mode
- Design a workbook for multiple devices
- Narrate a visualization
- Create a tile visualization with multiple measures
- Add a category reference line to a bar visualization
- Define rules to conditionally format events
- Blend conditional formatting rules
- Customize auto insights
- Create a custom message for no results
- Create a home page watchlist
- Create a slider control to filter values
- Create time calculations in Oracle Analytics workbooks