Summary
This chapter began by laying the groundwork for key concepts in the M language, which is crucial for understanding some of the intricacies discussed later on. We explored techniques such as splitting, combining, comparing, and replacing values, among others, using illustrative examples for enhanced comprehension. These techniques will prove invaluable in elevating data quality. Achieving proficiency will require dedication and regular practical application in your daily routine – an investment that is well worth the effort for its reward.
In the next chapter, you will learn about what an error is and how errors can be raised, contained, and detected, as well as the tools in your error handling toolkit.
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