Abstract: A data analysis system determines characteristics of a data set such as statistical measures, analytical insights, data trends, or relationships with other data sets. The system determines a level of importance for each determined characteristic using metadata associated with the data set, and, in some cases, user preferences provided by the user. Such metadata may include descriptive names, data types, and data characteristics of the data set and of data elements within the data set.

Abstract: A data analysis system determines a set of characteristics of a data set that is provided by a user. In various embodiments, individual characteristics may be statistical measures, analytical insights, data trends, or relationships with other data sets. The data analysis system selects a subset of the characteristics to be presented to the user. In an embodiment, the data analysis system determines a level of importance for each characteristic based at least in part on metadata associated with the data set, and in some embodiments, user preferences provided by the user. In an embodiment, the metadata includes descriptive names, data types, and data characteristics of the data set and of data elements within the data set.

Abstract: A data analysis system provides data analytics to a user via a natural language interface. In various embodiments, the data analysis system identifies statistical measures, analytical insights, data trends, or relationships with other data sets, based at least in part on a natural language query provided by a user. In an embodiment, the data analysis system interprets the natural language query to produce a result, and the result is converted into a natural language result which is provided to the user. In an embodiment, the data analysis system acquires an audio stream of a conversation. In an embodiment, the data analysis system identifies the parties to the conversation, and further identifies datasets of the parties. In an embodiment, the data analysis system identifies a characteristic of the datasets that is relevant to the conversation, and provides the characteristic to the parties.

Abstract: Systems and methods for facilitating exposure of search engine data in intelligent and structured visual controls are provided, permitting developers to access exposed search-engine data that is preprogrammed into the controls. Such controls, for instance, widgets, permit exploitation of search-engine data and visual richness (user experience), and exposure of data and content crawled by a search engine to third party developers in an efficient and flexible fashion. The visual controls are customizable and configured to be incorporated into various computing platforms over diverse ecosystems. The controls may be accessible from an online location available to third party developers for retrieval and embedding of search engine data assets into applications and web sites on various platforms.