Search tool for exploring quantifiable trends in line charts

A computing device, comprising:

• a display;
• one or more processors;
• and
• memory coupled to the one or more processors, the memory storing one or more programs configured to be executed by the one or more processors, the one or more programs including instructions for:
• receiving a first natural language input specifying one or more search terms directed to a dataset, wherein the dataset comprises a set of time series data;
• in response to receiving the first natural language input:
• parsing the first natural language input into one or more tokens, including assigning a respective semantic role to each of the one or more tokens;
• translating (i) the one or more tokens and (ii) one or more semantic roles assigned to the one or more tokens into one or more queries;
• executing the one or more queries against a search index to retrieve a plurality of labeled trend events, wherein each labeled trend event (i) corresponds to respective portion of a respective line chart of a set of line charts representing the time series data and (ii) has a respective chart identifier;
• determining, for each labeled trend event, a respective composite score;
• individually assigning each of the plurality of labeled trend events to a respective group according to the respective chart identifier, wherein each group (i) includes one or more respective labeled trend events and (ii) corresponds to one respective line chart in the set of line charts;
• sorting, for each group of the one or more groups, the one or more respective labeled trend events within the respective group according to respective composite scores corresponding to the one or more respective labeled trend events;
• determining, for each group of the one or more groups, a respective final score;
• ranking the one or more groups according to one or more determined final scores;
• retrieving, from the dataset, data corresponding to a first subset of line charts having the respective chart identifiers of the ranked one or more groups in accordance with the ranking;
• generating the first subset of line charts;
• annotating respective segments of the first subset of line charts that correspond to the labeled trend events;
• and
• displaying one or more line charts of the first subset of line charts as annotated.

A non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computing device having a display, one or more processors, and memory, cause the computing device to perform operations comprising:

• receiving a first natural language input specifying one or more search terms directed to a dataset, wherein the dataset comprises a set of time series data;
• in response to receiving the first natural language input:
• parsing the first natural language input into one or more tokens, including assigning a respective semantic role to each of the one or more tokens;
• translating (i) the one or more tokens and (ii) one or more semantic roles assigned to the one or more tokens into one or more queries;
• executing the one or more queries against a search index to retrieve a plurality of labeled trend events, wherein each labeled trend event (i) corresponds to respective portion of a respective line chart of a set of line charts representing the time series data and (ii) has a respective chart identifier;
• determining, for each labeled trend event, a respective composite score;
• individually assigning each of the plurality of labeled trend events to a respective group according to the respective chart identifier, wherein each group (i) includes one or more respective labeled trend events and (ii) corresponds to one respective line chart in the set of line charts;
• sorting, for each group of the one or more groups, the one or more respective labeled trend events within the respective group according to respective composite scores corresponding to the one or more respective labeled trend events;
• determining, for each group of the one or more groups, a respective final score;
• ranking the one or more groups according to one or more determined final scores;
• retrieving, from the dataset, data corresponding to a first subset of line charts having the respective chart identifiers of the ranked one or more groups in accordance with the ranking;
• generating the first subset of line charts;
• annotating respective segments of the first subset of line charts that correspond to the labeled trend events;
• and
• displaying one or more line charts of the first subset of line charts as annotated.