Hands-On Exploratory Data Analysis with Python

NumPy

In this section, we are going to revise the basic operations of EDA using the NumPy library. If you are familiar with these operations, feel free to jump to the next section. It might feel obvious when going through the code, but it is essential to make sure you understand these concepts before digging into EDA operations. When I started learning data science approaches, I followed a lot of blogs where they just reshaped an array or matrix. When I ran their code, it worked fine, but I never understood how I was able to add two matrices of different dimensions. In this section, I have tried to explicitly point out some of the basic numpy operations:

• For importing numpy, we will use the following code:

import numpy as np

• For creating ...