Motion chart

Abstract: A system and method to automatically produce a display chart from example graphics and data values. New or existing example graphics are drawn with a programmable data processing system, and the drawn graphical elements within the chart are identified. A data value is then associated with at least one of the graphical elements, and a list of heuristics are applied to determine the visualization characteristics for the graphical elements. The display chart is then produced incorporating the visualization characteristics for the graphical elements.

Abstract: Simple presentation graphics are intuitive and easy-to-use, but only show highly aggregated data. Bar charts, for example, only show a rather small number of data values and x-y-plots often have a high degree of overlap. Presentation techniques are often chosen depending on the considered data type, bar charts, for example, are used for categorical data and x-y plots are used for numerical data. We propose a combination of traditional bar charts and x-y-plots, which allows the visualization of large amounts of data with categorical and numerical data. The categorical data dimensions are used for the partitioning into the bars and the numerical data dimensions are used for the ordering arrangement within the bars. The basic idea is to use the pixels within the bars to present the detailed information of the data records. Our so-called pixel bar charts retain the intuitiveness of traditional bar charts while applying the principle of x-y charts within the bars. In many applications, a natural hierarchy is defined on the categorical data dimensions such as time, region, or product type. In hierarchical pixel bar charts, the hierarchy is exploited to split the bars for selected portions of the hierarchy. Our application to a number of real-world e-business and Web services data sets shows the wide applicability and usefulness of our new idea.

Abstract: A processor-implemented method includes providing an analytic dashboard with a graphical user interface (GUI) that outputs aggregated results streaming in real-time of a load test performed on a target website. Responsive to input of a user on the GUI, the input comprising selection of a source chart and a target chart, a single chart is automatically generated that represents either a combination or a statistical correlation of the source and target charts. The single chart has a left y-axis and an x-axis. The combination or the statistical correlation of the single chart changing in real-time as the load test progresses. A visual representation of the single chart is then produced on the analytic dashboard.

Abstract: A system and a method are disclosed for visually displaying data points using pie charts on a display screen with limited display area. Detailed information is presented for individual sectors compared to other sectors displayed. The sector is selected for displaying detailed information based on its orientation with respect to a centerline axis of the chart. The pie chart can be rotated to cause detailed information to be displayed for different sectors. The mechanism is used to display detailed information of data points for other kinds of charts including multi-series pie charts and donut charts.