Exploratory Data Analysis for Beginner Using Python

Complete guide with code

Image from Data Viz Done Right.

Data is nothing until you understand it and visualize it most effectively and this is what we call Exploratory Data Analysis(EDA)

Sounds like Intermediate?
Okay, let’s start in a beginner way?

You are taking a data mining class, and your professor says that you find one data set from the internet and try to do its EDA before implementing Data mining algorithms.

Now, here you are in a dilemma with words like data set, what, and how to do EDA….!?!

Following this journey, your dilemma will fade way.

We will cover:

1. Understanding what dataset is
2. Finding dataset online
3. Doing the EDA Cycle:

• Importing libraries/ methods
• Reading/importing Data
• A quick look to a dataset
• A glance to the summary of statistics
• A quick look to complete nature of dataset columns (attributes )
• Checking missing value and treating it
• Creating Histogram
• Creating Scatterplot
• Creating Line plot