https://github.com/winniecirino/health-insurance-analysis

This repository contains an analysis of a Health Insurance dataset aimed at understanding the factors affecting insurance charges. The project involves identifying significant factors that influence insurance costs and providing actionable insights to support decision-making.
https://github.com/winniecirino/health-insurance-analysis

sql sql-server sqlserver

Last synced: about 2 months ago
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This repository contains an analysis of a Health Insurance dataset aimed at understanding the factors affecting insurance charges. The project involves identifying significant factors that influence insurance costs and providing actionable insights to support decision-making.

• Host: GitHub
• URL: https://github.com/winniecirino/health-insurance-analysis
• Owner: WinnieCIRINO
• Created: 2024-08-08T06:44:40.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-08-10T05:34:14.000Z (6 months ago)
• Last Synced: 2024-11-05T10:39:09.143Z (3 months ago)
• Topics: sql, sql-server, sqlserver
• Homepage:
• Size: 5.86 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Health Insurance Analysis

This repository contains the analysis of a Health Insurance dataset. The focus of this analysis is to:

- **Understand Factors Affecting Insurance Charges**: Explore how various factors such as age, BMI, location, and number of children impact insurance charges.

- **Identify Significant Factors**: Determine which factors have the most significant effect on insurance premiums.

- **Provide Insights for Decision-Making**: Offer actionable insights that can assist insurance companies in understanding risk factors and pricing strategies.

## Dataset

The dataset includes information on health insurance claims and policyholders, with features such as:

- **Age**: Age of the insured individuals.

- **BMI**: Body Mass Index of the insured individuals.

- **Location**: Geographic region where the policyholders reside.

- **Number of Children**: Number of dependents covered by the insurance policy.

- **Insurance Charges**: Premiums charged by the insurance company.

## Analysis

The analysis covers various aspects, including:

- **Correlation Analysis**: Examining the relationship between insurance charges and factors like age, BMI, and number of children.

- **Regression Analysis**: Applying regression models to quantify the impact of different factors on insurance charges.

- **Geographic Analysis**: Analyzing how location affects insurance charges and identifying any regional trends.

- **Descriptive Statistics**: Providing summary statistics and visualizations to understand the distribution of insurance charges and other factors.

## Key Findings

- **Impact of Age**: Understanding how age affects insurance premiums.

- **Effect of BMI**: Analysis of how BMI influences insurance charges.

- **Regional Variations**: Identifying any geographic patterns in insurance costs.

- **Role of Dependents**: Assessing how the number of children impacts insurance charges.

## Requirements

- **Excel**: Used for data cleaning and initial exploration.

- **SQL**: Employed for data wrangling and statistical analysis.

- **Power BI**: Utilized for creating visualizations and reports.

## Analysis and Visualization (Power BI Report)

Click the image below to be directed to an interactive dashboard.

[![Health Insurance ](https://github.com/user-attachments/assets/0f8da259-cb54-4b41-9501-caa5cf40ed3a)](https://www.novypro.com/profile_projects/winnie-cirino?Popup=memberProject&Data=1704800685773x815278645480627100)

## Access the Dataset

The dataset used for this analysis can be accessed [here](https://example.com/your-dataset-link).