So you have a dataset… now to analyze it!!! But where do you start? What do you look at? This process is known as exploratory data analysis.
Usually, data scientists start with some characteristic analysis of the data (null values, minimum, maximum, median, mean, frequency, variance, standard deviation, range, and more!) to see what data they do and do not have. Then, data scientists clean their data (ie: remove duplicates, ensure the data types are correct, get rid of null values, identify outliers, and more!). With clean data, data scientists can now investigate underlying structures in the data (ie: correlations between variables, regressions to define relationships between variables, dimensionality reduction, clustering of variables, and more!)
https://www.youtube.com/watch?v=Liv6eeb1VfE
https://www.youtube.com/watch?v=xi0vhXFPegw