Exploring customer data
Our goal is to create a model to estimate the likelihood of abandonment using data pertaining to Telecom customers. This is to answer the question of how likely it is that a consumer will discontinue utilizing the service.
Initially, the data is subjected to exploratory analysis. Knowing the data types of each column is the first step in the process, after which any necessary adjustments to the variables are made.
To explore the data, we will plot the relationships between the churn variable and the other important factors that make up the dataset. Prior to suggesting a model, this work is carried out to get a preliminary understanding of the underlying relationships between the variables.
A thorough approach is taken while performing descriptive statistics, which focus on client differences based on one or more attributes. The primary variable of interest, churn, is now the focus, and a new set of interesting graphs is produced for this reason.
...
