Use vertical stacked area charts when you want to distinguish your data more dramatically by highlighting volume with color. In a vertical stacked area chart, each area is stacked on top of the sections below it.
Note: Vertical stacked area charts require at least one measure and one dimension. Adding multiple measures will create additional shaded areas on the chart.
The following display options are available for an area chart:
Use absolute line charts when you want to show trend data over time. For example, monthly changes in employment figures, or yearly sales of an item in your inventory.
Note: Absolute line charts require at least one measure and one dimension. Adding multiple measures or adding fields to the Color bucket will create additional lines on the chart.
The following display options are available for a line chart:
Use a ring pie chart when you want to review the value of each segment, which represents the measure value for the selected dimension, as it relates to the total for the selected measure. The total value represented by all segments displays in the middle of the ring pie chart.
Note: Ring pie charts require at least one measure (placed in the Measure bucket) and one dimension (placed in the Color bucket). Add additional measures as required to create a separate ring pie for each measure.
Vertical side-by-side bar charts can be used to show additional measure or dimension values for each horizontal axis value using differing identifying colors. Side-by-side bar charts are useful to directly compare the values for different measures or categories within each horizontal axis sort value.
Note: This chart requires at least one measure and one dimension. Add measures as required to compare additional values.
The following display options are available for a vertical side-by-side bar chart:
Use a horizontal bar chart when you want to emphasize a ranking relationship in descending order. This chart type can also be used when the x-axis label is too long to fit legibly side-by-side.
If you add additional measure fields to the Horizontal bucket or add dimension fields to the Color bucket, additional bars are placed in groups for each vertical axis value.
Note: Horizontal bar charts require at least one measure and one dimension. Add measures as required to compare additional values.
Use a vertical stacked bar chart when you want to view information for one dimension within another dimension. For example, when you want to see which product subcategories accounted for the most sales within each product category.
On the Home Page, in the Content View, you can use the Action Bar to quickly create the WebFOCUS content you need.
Action Bar buttons are organized into different categories.
Categories display according to your domain role and privileges.
Note that Categories do not display in the Action Bar from the Domains node view.
In this key feature video we will learn how to create workbooks in WebFOCUS Designer.
A workbook is portfolio that lets you assemble embedded content, combine it with external content from anywhere in WebFOCUS, and build a powerful display, all in the same tool.
To create a workbook, select a domain or folder, and in the actions bar, click Workbook.
Hello, and welcome to this video on Creating Charts. Using WebFOCUS Designer, you can create charts, grids, and maps, which enable you to convey information visually.
You can save and share charts, add saved charts to Pages, or edit an existing chart should a scenario change. This lets you take advantage of the flexibility of the chart feature while meeting you needs for presentation, format, and portability.
Using WebFOCUS Designer, you can create charts, grids, and maps, which enable you to convey information visually. You can save and share charts, add saved charts to pages, or edit existing charts should a scenario change. For example, you might want to create a line chart that compares two numeric measures or a ring pie chart that shows the intersections of your data as parts of a whole. You can also create a matrix chart, which allows you to identify hot spots and areas of concentration in your data.
