Summary

Well done, data adventurer. You explored a dataset pretty thoroughly. Exploratory data analysis is the preliminary analysis step as it gives you insights about the features or relationships that are best for modeling. You learned that exploratory data analysis has a structure-it is not a series of random plots. The structure begins from having general questions in mind and then becoming familiar with the data by addressing four structured questions: Look-Relationships-Correlation-Significance.

Look provides you a big-picture idea of what is in the data, what type of scales and data types are used, and verification the data is suitable. This question relies mostly on tabular output. Relationships may exist between variables, and graphical exploration is well suited to spot them. Correlations are ways to describe relationships numerically, using the sign and value of correlation coefficients. There are many ways to calculate and display them. Significance helps determine whether the...