Abstract: A user may provide input to search an existing visualization (e.g., bar chart, graph) of a dataset returned in response to database querying. A highlighted visualization may then provide additional insight into relationships within the dataset. The highlighting may comprise changes to the appearance (e.g., size, color, background) of visualization elements. The search and highlighting may be executed by a functional module in an application layer of a local client in communication with database on a remote server. A search engine of the functional module may perform searching of dimension names, dimension values, and measure names within the dataset, identifying particular elements of the data set that are relevant to a search term (e.g., “q1”). Based upon recognition of relevant dataset data, a visualization engine may highlight particular elements of the visualization (e.g., changing an appearance of vertical bars showing first quarter revenue relative to vertical bars for other quarters).

Abstract: A user may provide input to search an existing visualization (e.g., bar chart, graph) of a dataset returned in response to database querying. A highlighted visualization may then provide additional insight into relationships within the dataset. The highlighting may comprise changes to the appearance (e.g., size, color, background) of visualization elements. The search and highlighting may be executed by a functional module in an application layer of a local client in communication with database on a remote server. A search engine of the functional module may perform searching of dimension names, dimension values, and measure names within the dataset, identifying particular elements of the data set that are relevant to a search term (e.g., “q1”). Based upon recognition of relevant dataset data, a visualization engine may highlight particular elements of the visualization (e.g., changing an appearance of vertical bars showing first quarter revenue relative to vertical bars for other quarters).