Highlights
Data Visualization Assignment
Your team of world class data analysts works at an automotive insurance company. The data science department has tasked your team with visual analysis of two datasets.
Dataset 1: Claims.csv
This dataset contains information about insurance claims. It has 21 variables. A short
explanation of some variables is provided in Appendix1.
Dataset 2: Collisions.csv
This dataset contains information about road accidents involving vehicle-to-vehicle collisions.
It has 13 variables, all of which are self-explanatory.
Your team has been asked to focus analysis on answering two questions:
1. Based on dataset 1, can we say which factors could be used to identify fraudulent claims?
2. Based on dataset 2, can we say which factors contribute to severe vehicle damage?
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