Importing, Cleaning and Visualizing Data in Python
In this project, we are going to use the bank_churn dataset that can find here. First to all let's import the required library to be used for this project.
Let's now import and load the dataset we are going to use.
Exploring the dataset
The info() function of pandas gives us all information about the columns of the dataset, missing values and data type of each column.
As we can see there is no missing value in this dataset. But the data type is not what expected in some columns.