Abstract: A visualization system comprising a persistent memory, storing a dataset, and a non-persistent memory implements a pattern visualizing method. The dataset contains discrete attribute values for each first entity of a first type in a plurality of first entities of the first type and discrete attribute values for each first entity of a second type in a plurality of first entities of the second type for each second entity in a plurality of second entities. The dataset is compressed by blocked compression and represents discrete attribute values in both compressed sparse row and column formats. The discrete attribute values are clustered to assign each second entity to a cluster in a plurality of clusters.

Abstract: Techniques are described herein that enable and assist a user to generate customized video content and alter the video content without altering the customizations. For example, a social networking system may receive, from a user account associated with the social networking system, an input to create video content and add visual customizations to the video content. In some examples, the social networking system may also receive input from the user to alter the video content by altering the length of the video clip and/or adding a second video clip. The social networking system then alters the video content while maintain the previous customizations. The social networking system may then save the altered video content as a draft or share the altered video content to other users on the social networking system.