Answers

Here are the answers to the preceding questions:

1. Because we can visualize the possible outliers and the value range that is outside of the normal behavior of the data.
2. Identify the group with different behavior in one of the variables of the dataset using pivot tables. Explore whether this same group has suspicious behavior compared to the rest of the variables analyzed.
3. No, the most important factor is BMI. Age is not relevant for the number of complaints to the insurance company.
4. High duration of a medium number of packets.
5. The variable used was the money expended. The outlier was confirmed by the V1 variable.