Overview
By the end of this chapter, you will be able to use NumPy to perform statistics and speed up matrix computations; use pandas to view, create, analyze, and modify DataFrames; organize and modify data using read
, transpose
, loc
, iloc
, and concatenate
; clean data by deleting or manipulating NaN values and coercing column types; visualize data by constructing, modifying, and interpreting histograms and scatter plots; generate and interpret statistical models using pandas and statsmodels, and solve real-world problems using data analytics techniques.