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.

Cleaning data

Exploratory data analysis

The describe() function gives us the summarize statitics of numeric columns.

Univariate analysis

Geography

Age

Gender

Balance

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