Data visualization has evolved from static images of small fixed-size data sets through computer generated dynamic graphics for large, but fixed data sets. Many situations however call for an ability to handle streaming data. One such situation of substantial importance is Internet traffic where one is interested in detecting, on the fly, attacks on a system or local network. In such a case, it is impractical to attempt to store data. Both graphical and analytic techniques must be capable of generating analysis procedures without storing the data. For analytic techniques, recursive algorithms of relatively low computational complexity can accomplish this. We review several of these and suggest several new graphical methods, which are dynamic techniques for streaming data.