Project 11 — Day 25 of 30 days of Data Analytics with Projects Series

Welcome back peep. Hope all’s well. This is Day 25 of 30 days of data analytics where we will be implementing a project covering —

Summary Functions

Indexing

Grouping

Sorting

Data Profiling

Categorical and Numerical Features

Missing Value Analysis

Unique Value Analysis

Data Visualization

Correlation Coefficients

Spearman’s ρ

Pearson’s r

Kendall’s τ

Cramér’s V (φc)

Phik (φk)

Let’s cover the most important concepts in brief —

• Summary functions, such as mean and standard deviation, provide a quick overview of the distribution of a dataset’s numerical features.
• Indexing allows for easy access and manipulation of specific rows or columns in a dataset.
• Grouping separates a dataset into smaller groups based on one or more features, allowing for analysis of subgroups…