Palantir Technologies Inc.

Adit Kumar

Lindsay Canfield

Andrew Shi

Tilak Sharma

Steve Chuang

Rico Chiu

Kevin Simler

Beyang Liu

Karl Hanson

A multipath explorer may allow a user to quickly visualize an entire population of data hierarchically in a tree-like structure. For example, a user can select a first filter to be applied to a data set, and the multipath explorer can display data in the data set that satisfies the first filter requirements and data in the data set that does not satisfy the first filter requirements. A second filter can be applied to the data in the data set, and the multipath explorer can display data in the data set that satisfies the first and second filter requirements, data in the data set that satisfies the first filter requirements and not the second filter requirements, data in the data set that satisfies the second filter requirements and not the first filter requirements, and data in the data set that does not satisfy the first or second filter requirements.

Filter chains for exploring large data sets

Systems and methods are presented for representing non-numerical data objects in an object time series. An object time series of can be created by establishing one or more associations, each association including a mapping of at least one point in time with one or more objects that include properties and values. Visual representation of an object time series may include displaying non-numerical values associated with objects in the object time series in association with respective points in time.

Generating object time series from data objects

Generating object time series and data objects

Generating an object time series from data objects

Filter chains with associated multipath views for exploring large data sets

Growing community of inventors

New York, NY, United States of America

Adit Kumar