Thread by @Sachintukumar

Day 22 of #100dayswithMachinelearning

Topic -- Pandas Profiling

A Thread🧵

🔸Pandas profiling offers report generation for the dataset with lots of features and customizations for the report generated.

🔸let’s explore all the sections of the report one by one.

1. Overview
This section consists of the 3 tabs: Overview, Warnings, and Reproduction.

2. Variables
This section of the report gives a detailed analysis of all the variables/columns/features of the dataset. The information presented varies depending upon the data type of variable.

3. Correlations
Correlation is used to describe the degree to which two variables move in coordination with one another. In the pandas profiling report, you can access 5 types of correlation coefficients: Pearson’s r, Spearman’s ρ, Kendall’s τ, Phik (φk), and Cramér’s V (φc).

4. Missing values
The report generated also contains the visualizations for the missing values present in the dataset. You get 3 types of plot: Count, matrix, and dendrogram.

5. Sample
This section displays the first and last 10 rows of the dataset

Notebook Link --

github.com/sachinkumar160…

Blog Link -- @AnalyticsVidhya

analyticsvidhya.com/blog/2021/06/g…

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