Project 6 — Day 20 of 30 days of Data Analytics with Projects Series

Welcome back peep. Just came back from Thanksgiving holidays. Enjoyed so much! Hope you too enjoyed yours.

Anyways, this is Day 20 of 30 days of data analytics where we will be implementing a project — Part 1 covering —

1. Categorical and Numerical Features

2. Missing Value Analysis

3. Fill the missing Values

4. Unique Value Analysis

5. Univariate Analysis

6. Bivariate Analysis

7. Multivariate Analysis

8. Correlation Analysis

Let’s cover some of the concepts we would be using -

1. Categorical and Numerical Features: In a dataset, there are two types of features, Categorical and Numerical. Categorical features are those which have a finite set of values, for example, Gender (Male, Female) and Nationality (India, USA, UK, etc). Numerical features are those which have continuous values, for example, Age and Salary.
2. Missing Value Analysis: Missing values are the values that are not present in the dataset. Missing value…