Company Filing History:
Years Active: 2024
Title: Christopher Shawn Suley: Innovator in Data Visualization Technology
Introduction
Christopher Shawn Suley is a notable inventor based in Santa Clara, California. He has made significant contributions to the field of data visualization through his innovative patent. His work focuses on enhancing user interaction with data through natural language processing.
Latest Patents
Christopher holds a patent titled "Using refinement widgets for data fields referenced by natural language expressions in a data visualization user interface." This patent describes a method executed at a computing device that includes a display, one or more processors, and memory. The device displays a data visualization based on a dataset retrieved from a database. It also shows one or more first phrases in a first region that define the data visualization. The device receives a first user input in a second region to specify a natural language command related to the displayed data visualization. In response to this input, the device displays one or more proposed actions. After the user selects a first proposed action, the device generates an updated data visualization and displays it along with a plurality of second phrases that define the updated visualization.
Career Highlights
Christopher is currently employed at Tableau Software, Inc., where he continues to develop innovative solutions in data visualization. His work at Tableau has allowed him to apply his expertise in creating user-friendly interfaces that enhance data interpretation.
Collaborations
Some of Christopher's coworkers include Jeffrey Ericson and Vidya Raghavan Setlur. Their collaboration contributes to the innovative environment at Tableau, fostering advancements in data visualization technology.
Conclusion
Christopher Shawn Suley is a prominent figure in the realm of data visualization, with a patent that showcases his innovative approach to user interaction with data. His contributions at Tableau Software, Inc. continue to influence the way users engage with complex datasets.
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