In this chapter, we will cover the practice of data (database) assessment. We will provide an understanding of what statistical assessment is, and why it is important to the data scientist, as well as providing instructive examples using R to perform various statistical assessment methods.
As we have been endeavoring to do throughout this book, we will draw similarities between certain data developer and data scientist concepts, looking at the differences between data or database development and data (database) assessment, as well as offer a comparison between the practice of data assessment and data (quality) assurance.
We've organized information in this chapter into the following areas:
- Comparison of assessment and statistical assessments
- Development versus assessment
- Is data assessment an assurance of data quality?
- Applying the idea of statistical assessment to your data using R
Let's get started!