1. A method of to be executed by an event server computer programmed to select a visualization from a plurality of visualizations for presenting event information, the event server computer comprising a processor and a memory, the method comprising: receiving a plurality of event information from a plurality of sources over a computer network, the plurality of event information being indicative of computer security threat; assigning categories to the plurality of event information; storing the plurality of event information in an event log; receiving a query string; determining a category of the query string; retrieving relevant visualizations from the plurality of visualizations based on the category of the query string; retrieving from the event log event information corresponding to the category; automatically selecting a first visualization from the retrieved relevant visualizations based on the retrieved event information, the first visualization being selected for rendering at least some of the plurality of event information stored in the event log by: (a) executing a plurality of algorithms using corresponding event information of the first visualization, (b) calculating an importance score for the first visualization for each executed algorithm in the plurality of algorithms, and (c) ranking the first visualization relative to other visualizations in the retrieved relevant visualizations based on the importance score of the first visualization for each of the executed algorithms; rendering the first visualization to display at least some of the event information stored in the event log and additional information retrieved from an external source over the Internet based on the category of the query string; automatically selecting a second visualization from the plurality of visualizations based on the retrieved event information; and rendering the first and second visualizations, wherein rendering the first visualization comprises rendering a graph of virus infection count over time and wherein the plurality of algorithms include standard deviation.
1. A method of to be executed by an event server computer programmed to select a visualization from a plurality of visualizations for presenting event information, the event server computer comprising a processor and a memory, the method comprising: receiving a plurality of event information from a plurality of sources over a computer network, the plurality of event information being indicative of computer security threat; assigning categories to the plurality of event information; storing the plurality of event information in an event log; receiving a query string; determining a category of the query string; retrieving relevant visualizations from the plurality of visualizations based on the category of the query string; retrieving from the event log event information corresponding to the category; automatically selecting a first visualization from the retrieved relevant visualizations based on the retrieved event information, the first visualization being selected for rendering at least some of the plurality of event information stored in the event log by: (a) executing a plurality of algorithms using corresponding event information of the first visualization, (b) calculating an importance score for the first visualization for each executed algorithm in the plurality of algorithms, and (c) ranking the first visualization relative to other visualizations in the retrieved relevant visualizations based on the importance score of the first visualization for each of the executed algorithms; rendering the first visualization to display at least some of the event information stored in the event log and additional information retrieved from an external source over the Internet based on the category of the query string; automatically selecting a second visualization from the plurality of visualizations based on the retrieved event information; and rendering the first and second visualizations, wherein rendering the first visualization comprises rendering a graph of virus infection count over time and wherein the plurality of algorithms include standard deviation. 2. The method of claim 1 further comprising: for the other visualizations in the retrieved relevant visualizations: (a) executing the plurality of algorithms using corresponding event information of the other visualizations, (b) calculating importance scores for the other visualizations, and (c) ranking the other visualizations relative to one another and including the first visualization based on their respective importance scores.