公开(公告)号：US10565220B2

公开(公告)日：2020-02-18

申请号：US15421408

申请日：2017-01-31

Applicant: Splunk Inc.

Inventor： Michael Porath ,  Marshall C. Agnew ,  Ho Lun Ng ,  Brian Reyes

IPC: G06F16/20 ,  G06F16/248 ,  G06F16/2458

Abstract: Techniques and mechanisms are disclosed for generating and causing display of graphical interfaces which enable an interactive and flexible search results visualization process. Based on results data identified in response to execution of a search query, an interface element is displayed which enables users to select a field contained in the results data, also referred to herein as a “dimension” or “facet,” and for which a “faceted” visualization of the results data can be dynamically generated and displayed. As used herein, a faceted visualization refers to a graphical interface including display of at least two separate data visualizations generated based on a selected facet data dimension, where each separate data visualization corresponds to a distinct value of the selected facet dimension.

公开(公告)号：US20180218050A1

公开(公告)日：2018-08-02

申请号：US15421408

申请日：2017-01-31

Applicant: Splunk Inc.

Inventor： Michael Porath ,  Marshall C. Agnew ,  Ho Lun Ng ,  Brian Reyes

IPC: G06F17/30 ,  G06F3/0482 ,  G06F3/0488 ,  G06F3/0484

CPC classification number: G06F16/248 ,  G06F16/2477

Abstract: Techniques and mechanisms are disclosed for generating and causing display of graphical interfaces which enable an interactive and flexible search results visualization process. Based on results data identified in response to execution of a search query, an interface element is displayed which enables users to select a field contained in the results data, also referred to herein as a “dimension” or “facet,” and for which a “faceted” visualization of the results data can be dynamically generated and displayed. As used herein, a faceted visualization refers to a graphical interface including display of at least two separate data visualizations generated based on a selected facet data dimension, where each separate data visualization corresponds to a distinct value of the selected facet dimension.