Project 8 — Day 22 of 30 days of Data Analytics with Projects Series

Welcome back peep. Hope all’s well. This is Day 22 of 30 days of data analytics where we will be implementing a project covering —

Linear Regression

Data Profiling

Feature Engineering

Sort Values

Categorical and Numerical Features

Missing Value Analysis

Unique Value Analysis

Univariate Analysis

Bivariate Analysis

Multivariate Analysis

Correlation Analysis

Correlation Coefficients

Spearman’s ρ

Pearson’s r

Kendall’s τ

Cramér’s V (φc)

Phik (φk)

Let’s cover some of the most important concepts in brief —

1. Data Profiling: is the process of analyzing and summarizing the main characteristics of a dataset. This can include reviewing the data types, number of records, missing values, and other statistical summaries.