Data quality has already been an issue even before databases were invented. Despite the absence of a clear definition, it is widely agreed that data quality is of major importance especially in scientific applications. It is all the more surprising how little research has been done in the area of data quality. We present a Data Quality Analysis Toolkit which is capable of measuring and visualising data quality. A variety of different charts and tables support the user in judging in what area urgent action is needed. Furthermore, the toolkit provides tools to drill down on the data quality...