In this article, I’m going to analyze the Women’s Clothing E-Commerce dataset which contains numerical data, text reviews that are written by customers (available here).
The steps which we are going to follow are listed below
Let’s start the fun with our first step Data Description
This dataset includes 23486 rows and 10 feature variables. Each row corresponds to a customer review, and includes the variables:
Exploratory Data Analysis (EDA) is an approach for data analysis and data exploration that employs a variety of techniques (mostly graphical representation) on the data we are working on.
EDA helps in finding
According to a survey in Forbes, data scientists spend 80% of their time on data preparation.
But, what if I told you that python can automate the process of EDA with the help of some libraries? Won’t it make your…
This article aims to discuss all the key features for the basics of the Python programming language. My target is to keep the information accurate, precise, graspable, short, and focus on the key points for better understanding.
After going through this blog, you will be able to implement Python very easily.
You don’t need any prior knowledge of python programming it will be easy to grasp the concept.
Why did I choose python?
Data analyst| Pandas| Python