Spotfire Ab

Tibco Software Inc.

Tobias Lehtipalo

Tommy Fortes

Lars Bauerle

Daniel Vulcan

Christopher Ahlberg

Magnus Thorsell

Johan Hergens

Mattias Wallerstedt

Rikard Edgren

Anna Lundberg

Stefan Jernberg

Johanna Altenstedt

A system for analyzing data from a data set is disclosed. The system includes analysis logic responsive to a dimensional analysis control and an attribute analysis control for the same data. This logic can incrementally update the state of a data presentation from an existing state to a new state, and then remain responsive in the new state to further user input via the dimensional data analysis control and further user input via the attribute analysis control to further incrementally update the presentation.

Unified interactive data analysis system

In one general aspect, the application discloses a data visualization method that includes accessing data tables and receiving an axis binding definition for a particular visualization that relates values in a first of the tables to sets of fields in a second of the tables. A marking indication can then be received that selects one of the values in the first of the tables, and a set of fields in the second table is accessed based on the marking indication and the axis binding definition. This accessed set of fields is presented in the particular visualization for which the axis binding definition was received.

Data visualization system with axis binding

A system for analyzing data is disclosed. In one general aspect it includes a data analysis user interface responsive to user interaction to initiate actions on the data. An action logging interface is operative to create a logged sequence of actions as the user initiates them through the data analysis user interface. And a token-based authoring user interface responsive to user selection commands to select action-tokens corresponding to the actions logged by the action logging interface to create an authored set of actions that has an authored sequence that can be different from the logged sequence.

Automatic guide for data analysis

In one general aspect, the application discloses a data visualization method in which at least two retrieved data tables are associated based on a selection of at least one common field. A visualization is displayed for data from a first of the tables and input for query devices is received to filter data for a second of the tables. The displayed visualization for the first table can then be updated in response to the received query device input for the second table based on the created association.

Multi-source data visualization system

Growing community of inventors

Västra Frölunda, Sweden

Tobias Lehtipalo