Data visualization using Pandas, Nympy, Matplotlib.pyplot and Seaborn in Jupyter Notebook

 Using sample dataset from Kaggle > Bankloan credit_train.csv:

First importing libraries and modules:

Read the csv file using Pandas and read the 1st 4 rows:

Get total numbers of rows and column, dropping duplicates, and describing the datasets:

using seaborn regplot to predict the data:

using relplot:

Using seaborn lmplot:

Using pairplot: