In this chapter, we first got some hands-on experience with Qlik’s data manager and learned how to create data models using it. We also learned how to create calculated fields and investigate data. Creating a good data model and modifying data to be suitable for machine learning is the key to success.
We also discovered some of the basics of Qlik scripting and how that can be used to perform data transformations. We discovered some of the important functions and features of Qlik script. Scripting is an alternative way to create a data model and manipulate data. It is a powerful tool and can be also combined with modeling created in the data manager.
In a later part of the chapter, we learned some methods of validating and investigating the data. We familiarized ourselves with the data catalog and data lineage views and learned to utilize them in data validation. Data validation is a key step in any machine learning or data analytics project, and it is important...