Systems and methods for filtering and visualizing large scale datasets

US10877984B1 · kind B1 · utility

Assignee

• Palantir Technologies Inc. · US

Inventors

• Alexander Martino · New York, US
• Ashley Einspahr · Palo Alto, US
• Alicia Monfre · New York, US
• Benjamin Mittelberger · New York, US
• Erik Jarleberg · Stockholm, SE
• Justin Streufert · Frederick, US
• Martin Manville · Washington, US
• Pearson Henri · New York, US
• Robert Giardina · Falls Church, US
• Shelby Pefley · Los Altos Hills, US
• Savino Sguera · London, GB
• Wenshuai Hou · Arlington, US

Key dates

• Filing date: Mar 6, 2018
• Grant date: Dec 29, 2020
• Expiry date: Jul 20, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F16/335
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Systems and methods are provided for analyzing data in one or more datasets. One or more data objects can be searched for within the one or more datasets. One or more visualizations can be generated based on the results of the search for the one or more data objects in the one or more datasets. When a user interacts with a visualization, e.g., by applying a filter, removing a filter, focusing on a particular subset of the one or more data object, etc., the visualization is updated automatically. Moreover, other visualizations generated based on the same search results may be simultaneously and automatically updated and presented to the user. Rather than a user having to analyze and consume data in a tabular format, the user can interact with representative visualizations to more readily discover and/or reveal aspects of the one or more data objects that would normally be hidden in the tabular format.