Project 9— Day 23 of 30 days of Data Analytics with Projects Series

Welcome back peep. Hope all’s well. This is Day 23 of 30 days of data analytics where we will be implementing a project covering —

Know your charts/plots

A detailed study of what each chart represents, implementation details and which chart to use and when.

Linear Regression

Data Profiling

Correlation Coefficients

Spearman’s ρ

Pearson’s r

Kendall’s τ

Cramér’s V (φc)

Phik (φk)

Lets cover some of the most important concepts in brief —

• Linear Regression: is a statistical technique used to model the relationship between one or more independent variables (also called predictors or features) and a dependent variable. Linear regression assumes that the relationship between the variables is linear and can be used to make predictions about the value of the dependent variable based on the values of the independent variables.
• 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…