Data_Analysis_via_Python - Project overview:

• This repo contains step by step instructions on Data Analysis using python on Jupyter Lab. It is currently a two series notebook on Data Wrangling and Exploratory Data Analysis
• The automobiles.csv file is the dataset we would be working with in an attempt to predict the sales price of a car.

The Data Wrangling techniques involved:

* Identifying and handling missing values
* Data Formatting into right data type
* Data Standardization and normalilzation to reduce bias in data
* Binning
* Creation of Data dummies.

The Exploratory Data analysis involved:

* Addressing the individual pattern of Features
* Data Visualization using seaborn
* Pearson Correlation Coefficient analysis
* Correlation AND Causation
* ANOVA (ANALYSIS OF VARIANCE)