Project 2 - EDA on Vehicle Insurance Customer Data

In the data preparation phase, customer data underwent a rigorous cleansing, organization, and integration process to rectify inconsistencies and ensure a comprehensive dataset. This involved addressing missing values and outliers, laying the groundwork for reliable analyses. Subsequently, the focus shifted to premium analysis, where deep dives into customer demographics uncovered correlations between age and premium. This nuanced understanding of customer dynamics enabled the formulation of strategic discount and pricing decisions. By identifying patterns in how different age groups interact with premium offerings, the analysis informed targeted strategies, ensuring that discount structures were tailored to specific demographics. The integrated approach of cleaning and analyzing customer data not only enhanced data quality but also provided actionable insights for informed decision-making in discount strategies and pricing.