Author(s)

Michael Spenke and Christian Beilken

Abstract

This paper describes the application of the data analysis tool InfoZoom to a data- base of Formula One racing results of the last 20 years. No automatic method for data mining is used. Instead, InfoZoom enables the user to interactively explore different visualisations of the data. In this way, the user gets a feeling of the data, detects interesting knowledge, and gains a deep understanding of the data set. InfoZoom displays database relations in tables with attributes as rows and ob- jects as columns. In our example, each column corresponds to the participation of a driver in a certain race. The table has about 8000 columns. The attributes include the name of the driver, his team, the date and location of the race, and the starting and final position. InfoZoom compresses

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