# Exploratory Data Analysis(EDA) in Python!

guest_blog 30 Jul, 2021

## Exploratory Data Analysis(EDA)

– Handle Missing value
– Removing duplicates
– Outlier Treatment
– Normalizing and Scaling( Numerical Variables)
– Encoding Categorical variables( Dummy Variables)
– Bivariate Analysis

## Bivariate Analysis

1. #### Two Categorical Variables

1. Bar chart
2. Grouped bar chart
3. Point plot

## ENCODING

Ritika Singh – Data Scientist

I am a Data scientist by profession and a Blogger by passion. I have been working on machine learning projects for more than 2 years. Here you will find articles on “Machine Learning, Statistics, Deep Learning, NLP and Artificial Intelligence”.

guest_blog 30 Jul, 2021

Abdallah 17 Sep, 2020

Why did you treat postal code as a numerical variable? It is not meaningful to represent it that way, since a numerical value for postal code will be misinterpreted by any machine learning algorithm. For example, the postal code "90049" will be matched with a label based on the correlation and the postal code "300" will be matched to the other label since it has a lower value, which is incorrect. It would be better represented as a categorical variable, even if there are many unique observations.

Bala 10 Oct, 2020

Hi Ritika, Can you pls. help me with the csv file that you used for this tutorial? I would like to use the file to learn the steps taught here.

cool and clear its easy to understand tq for the explanation i fall in love with ur blog

Prasanna 31 Dec, 2020

found the blog on "EDA with Python' very useful . But there is a humongous distraction in the site. The floating ads(of courses offered by you) in the page are a huge distraction. Not sure how anyone from the page admin has not noticed it. The content of this blog is awesome though

Shallom Micah 24 Jan, 2021

Thanks alot for this. Am glad i came across this.

Saurabh Singh 14 Mar, 2021

Jogin 12 Apr, 2021

Hi Ritika, Really nice blog, I liked it and wanted to learn more from you

Nitin Shelke 12 Apr, 2021

Thanks Ritika for the nice explanation.

Monwa 27 Nov, 2021

I am interested to know the basics on how to analyze data, get rid of duplicates and missing values.

Abhishek Parida 06 Mar, 2022

Where can I find the dataset to follow and practice the code? Thank you in advance.