Summary

This chapter has given an overview of some of the techniques used to visualize data. In addition, it has given some context to allow a visualization technique to be chosen. RapidMiner Studio allows quick manipulation of data to allow it to be enhanced, so that it can be visualized better. This chapter has given us some ideas about this.

It is particularly true that in the case of visualization, there is tremendous scope for creative presentation and exploration, and this chapter is only a start. You will find yourself visualizing data all the time.

The next chapter discusses parsing and converting attributes into different forms or into new attributes. This is an important part of visualizing data since it is sometimes necessary to do this to make visualizations more appealing. Generating new attributes is also an important technique in general as part of extracting features from data to help get the most value from it.

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