Oracle Analytics Cloud
Tutorials
Learn about Oracle Analytics Cloud by following these tutorials.
New
Create Datasets
Prepare Data
Prepare Data with Data Flows
Create Visualizations
Explore Visualization Types
- Create an overlay chart visualization
- Control visualization visibility
- Create a gauge visualization
- Hide a column in workbook visualizations
- Create a Sankey visualization
- Add a legend visualization to a workbook
- Narrate a visualization
- Create a tile visualization with multiple measures
- Add a category reference line to a bar visualization
Visualize Data with Maps
- Create a map visualization of your data
- Assign map layer to latitude and longitude columns
- Assign a map layer to a data column
- Add data labels to map visualizations
- Change the data point size on map visualizations
- Review and manage location matches
- Create a map with dynamic lines
- Visualize data on a heat map
Create and Customize Tables
Filter Data
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
Apply Conditional Formatting
Create Calculations
Manage and Customize Workbooks
- Export your Oracle Analytics workbook to Excel
- Create a shared custom workbook theme
- Create a shared custom canvas layout
- Import and export a workbook
- Save a workbook's state
- Create workbook canvases and visualizations
- Create a presentation using auto mode
- Create a presentation using manual mode
- Design a workbook for multiple devices
- Create a custom message for no results
- Create a home page watchlist
Leverage Machine Learning
- Analyze data with explain
- Analyze datasets with multiple tables using Oracle Analytics explain
- Create a random sample dataset and train a prediction model
- Inspect and modify the model
- Apply a predictive model
- Create a prediction model with AutoML
- Evaluate predictive models with lift and gain charts
- Customize auto insights
Administer Oracle Analytics Cloud
- Configure a dataset to use Oracle Analytics AI Assistant
- Set up usage tracking
- Analyze usage tracking data
- Configure the limit values by for filters property
- Create user-defined application roles and assign users
- Create role-based filters to limit data
- Migrate an Oracle Analytics environment using a snapshot