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Dashboard Car Insurance Claims Visual Analytics & Clustering Analysis

Desciption

Dashboard Title: Car Insurance Claims Visual Analytics & Clustering

Subtitle: Analyzing Claims By Year of Birth, Type of Vehicle, and Occupation

Overall Summary: This dashboard provides an overview of car insurance claims by year of birth, type of vehicle, and occupation. It uses visual analytics and clustering to provide insights into the data and identify significant variables that affect the claims.

Dashboard Insights:
Analyze the number of claims and the highest claim amount by year of birth
Identify the leaders of car type categories
Analyze the distribution of claims by occupation
Identify the significant variables that affect the claims
Analyze the total range of age between 1930 to 1986

Who Can Benefit: This dashboard can be used by insurance companies, auto dealerships, and car repair shops to gain insights into car insurance claims. It can help them to better understand the factors that affect the claims and make more informed decisions.

Benefits:
Gain insights into car insurance claims
Identify the leaders of car type categories
Understand the significant variables that affect the claims
Analyze the total range of age between 1930 to 1986
Make more informed decisions

Data

Amount
Count
Highest claim amount
by 1957 and claim
count by 1951
800K
700K
600K
500K
400K
300K
200K
100K
400
200
Car Insurance Claims
(Visual Analytics & Clustering)
More than half claims
from High School
students.
Minivan
Year of Birth: 1951
Number of Records: 139
Leaders of Car Type
categories.
Blue Collar and
Clerical is almost half
of total sum of claims
Minivan
Year of Birth: 1957
Claim Amount: 153,144
Significant variabl
effecting claims
Minivan
Panel Truck
Pickup
Sports Car
SUV
Van
Total Range of age is between
1930 to 1986