When doing Statistical Analysis, curiosity and intuition are two of a Data Scientist’s most powerful tools. The third one may be Pandas.
Today we’ll leverage Python’s Pandas framework for Data Analysis, and Seaborn for Data Visualization. Sometimes when facing a Data problem, we must first dive into the Dataset and learn about it. Its properties, its variables’ distributions — we need to immerse in the domain.