Page Gallery

See the examples below.

• Ranking with Filters: The primary focus is on a measure (like sales) broken down by a categorical grouping like product line. Typically, data is grouped in bar chart and/or pie chart.

  

  The Bar Chart or Pie Chart provide the grouping; other supportive components are included for slicing, filtering, and details.

• Multiscape with filters: The primary focus is on a measure broken down by the cross-product of two groupings (example: quarterly sales by region). Data is grouped in a Multiscape chart. To see trends, you can rotate, zoom, or scale the Multiscape.

  

• Maps: The focus of this page is "where". Data points are plotted on an image or vector map with height representing a measure. Optional links highlight relationships between geographical entities. To see trends, you can rotate, tilt, zoom or scale the map as required.

  

• Relationships with filters: Use this type of page to view abstract structures or relationships (examples: product affinities, organizational structures). Data points are displayed in a graph hierarchically or in a "mesh". Node size/color/shape can represent different entity attributes. To see trends, you can rotate, tilt, zoom or scale the graph as required.

  

• Correlations with Filters: Use this type of page to view correlations between data items with size/color/shape for displaying attributes and univariate displays for understanding other attributes and for filtering.

  

• Advanced correlation with filters: This page type can be used to correlate multiple metrics and/or multiple dimensions in a single chart. A Parabox is used to display data.

  

• Multiple relationships: Interactions of multiple fields are shown via a ParaBox; geospatial aspects are shown via a map. Univariate displays provide filtering, and a Data Sheet provides details..

  

• KPIs with filters: This page is very effective when you want to focus on KPIs across multiple dimensions. Charts used in this type of page include: Line Chart, Histogram, and Scatterplot.

  

• Multiple univariate displays: Multiple univariate displays show multiple fields; coloring and selection show interactions between dimensions. Use the "normal" bar charts to select a subpopulation; the Pie Chart and spine plot variety of Bar Chart provide comparison of that subset of the population to the whole population as a fraction of the whole.