- SAP BusinessObjects Dashboards 4.1 Cookbook
- Table of Contents
- SAP BusinessObjects Dashboards 4.1 Cookbook
- Credits
- Foreword
- About the Author
- Acknowledgments
- About the Author
- Acknowledgments
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Staying in Control
- Introduction
- Using the Object Browser
- Searching for components
- Grouping the canvas components
- Making the spreadsheet more readable with colors
- Making the spreadsheet more readable with comments
- Making the spreadsheet more readable with borders
- Using named ranges
- Copying the format of one cell to another cell or range
- Debugging the spreadsheets
- Navigating between worksheets
- 2. Data Visualization
- Introduction
- Adding a line chart to your dashboard
- Using a bullet chart
- Using sparklines
- Using a combination chart
- Using a waterfall chart
- Using a pie chart
- Using a scatter plot chart
- Using a bubble plot chart
- Using a radar chart
- Using an OHLC chart and a candlestick chart
- Sorting series
- Zooming in on charts
- Scaling the y-axis
- Using a tree map
- Showing a trend without a chart
- Displaying raw data
- Illustrating single values
- 3. From a Static to an Interactive Dashboard
- Introduction
- Selecting your data from a list
- Drilling down from a chart
- Using the Filter selector component for hierarchies
- An alternative hierarchy selection method
- Using the Hierarchical Table
- Using Filtered Rows
- Using maps to select data of an area or country
- Adding a Mac OS X-looking dock to your dashboard
- Resetting your data (the reset button)
- Making selections from a custom image (the push button and image component)
- Inputting data values
- Using the Play Selector / Play Control component
- Opening up a Web Intelligence report using dashboard parameters
- Selecting calendar dates
- Using sliders to create a what-if scenario
- 4. Dynamic Visibility
- 5. Using Alerts
- 6. Advanced Components
- 7. Dashboard Look and Feel
- Introduction
- Changing the look of a chart
- Adding a background to your dashboard
- Using color schemes
- Sharing a color scheme
- Working with themes
- Making component colors dynamic
- Dynamic XY positioning and sizing of components
- Using the Panel Container
- Using the Tab Set container
- Making tables look pretty
- Using quadrants smartly
- Creating/using a dashboard template
- 8. Dashboard Data Connectivity
- 9. Exporting and Publishing
- 10. Top Third-party Add-ons
- Introduction
- Managing add-ons in SAP BusinessObjects Dashboards
- Connecting to CSV files with the CSV Connector
- Integrating Google Maps with the CMaps plugin
- Connecting to Salesforce.com with DashConn
- Presenting micro charts in a Tree Grid
- Integrating Web Intelligence with Antivia XWIS Advantage Express
- Advanced printing with Xcelsius Dashboard Printer
- SUCCESS with graphomate charts
- 11. Performance Tuning
- 12. Increasing Productivity
- Introduction
- Using the Spreadsheet Table component to debug
- Time-saving tips during dashboard development
- How to do it…
- Global Fonts
- Grouping from the Object Browser versus grouping with a Canvas Container
- Editing multiple components at once
- Using the alignment, sizing, and spacing buttons
- Using the arrow keys for precise placement of components
- Using the Grid to help with relative positioning
- Copying objects from another dashboard
- How to do it…
- Fixing corrupt XLF files
- A. Real-world Dashboard Case Studies
- B. Additional Resources – Supported Excel Functions and System/Software Requirements
- C. The Future of Dashboarding with SAP Design Studio
- Index
The tree map, also known as a heat map, visualizes values by dividing an area into a set of rectangles. The following screenshot shows an example of a tree map:
As you can see, two variables are used in this chart: one variable expressed by the relative size of each rectangle and another one illustrated by the color intensity. Instead of using the tree map, you can also choose the scatter plot chart to display two variables in one chart.
For this recipe, we can reuse the file we created in the Using a scatter plot chart recipe.
- Drag a Tree Map component to the canvas.
- Enter a name for the chart.
- Bind the cell range A4 to C9 to the By Range field.
- Select Data in Columns.
- Select By Series and bind the Name field to cell A1:
- Go to the Appearance tab and select the Series sub-tab.
- Select a very dark color as High Color and a very light color as Low Color:
- Preview the dashboard to check the result:
The tree map arranges the rectangles from big to small. The Cat 5 data (most expensive houses) is presented on the far left-hand side, while Cat 1 (cheapest houses) is illustrated by the block on the lower right-hand side. This rectangle also has the lightest color, indicating the lowest Weeks until sale value. In the recipe, we changed the colors to a more extreme range so that the differences between the rectangles are clearer.
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