A thumbnail is an image associated with a file that can be used to visually identify it in your WebFOCUS repository. When you create a thumbnail for a chart in WebFOCUS Designer, the thumbnail shows a snapshot or small image of the chart that is then used on the WebFOCUS Home Page. The following image of the grid view on the WebFOCUS Home Page shows some files that use thumbnails created in WebFOCUS Designer, and some files that use the default thumbnail.
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 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.
The following display options are available for a ring pie 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 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.
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 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 circle plot charts to display differing values in rows, enabling you to draw inferences as to how the values overlap.
Note: Circle plot charts require at least one measure and one dimension, as well as one for the Detail and Color buckets. Optionally, add a dimension to the Size bucket to view the concentration of data.
The following display options are available for a circle plot chart:
Scatter charts are used to show relationships between X and Y values. They compare two sets of numbers at once, which is useful for discovering patterns and trends.
Treemap charts can be used to display large amounts of hierarchically structured data. Using a set of nested rectangles to illustrate data relationships, sections of a treemap represent branches of a tree.
Note: Treemap charts require at least one measure and one dimension, to be placed in the Size and Color buckets. Groups are determined by those fields specified in the Grouping bucket.
The Clear buckets content display option is available for a treemap. It removes the fields from all buckets.
You can add fields to the following buckets for a treemap:
