End-to-end exploratory data analysis

Exploratory data analysis refers to the critical process of understanding the quirks of data—the outliers, the columns containing the most relevant information, and determining the relationship between the variables using statistics and graphical representations.

Let's consider the following DataFrame to perform exploratory data analysis:

df = pd.read_csv("data.csv")
df

The following screenshot shows the DataFrame loaded in Jupyter Notebook:

DataFrame loaded in Jupyter Notebook

Data overview

The preceding DataFrame is the customer data of an automobile servicing firm. They basically provide services to their clients on a periodic basis. Each row in the DataFrame corresponds...