Summary
In this chapter, we covered several important topics that usually emerge at the earliest stage of a data science project. We examined their applicable scenarios and conservatively checked some consequences, either numerically or visually. Many arguments made here will be more prominent when we cover other more sophisticated topics later.
In the next chapter, we will review probabilities and statistical concepts, including the mean, the median, quartiles, standard deviation, and skewness. I am sure you will then have a deeper understanding of concepts such as outliers.
