Project Overview This project aims to analyze and visualize health insurance coverage data for different states in the United States from 2010 to 2016. The dataset includes various metrics such as uninsured rates, health insurance coverage changes, Medicaid and Medicare enrollments, and more. The goal is to provide insights into the trends and patterns in health insurance coverage over time.
Dataset The dataset used in this project contains the following columns:
State: Name of the state. Uninsured Rate (2010): Percentage of uninsured individuals in 2010. Uninsured Rate (2015): Percentage of uninsured individuals in 2015. Uninsured Rate Change (2010-2015): Change in uninsured rate from 2010 to 2015. Health Insurance Coverage Change (2010-2015): Number of individuals who gained health insurance coverage between 2010 and 2015. Employer Health Insurance Coverage (2015): Number of individuals with employer-sponsored health insurance in 2015. Marketplace Health Insurance Coverage (2016): Number of individuals with health insurance from the marketplace in 2016. Marketplace Tax Credits (2016): Number of individuals receiving marketplace tax credits in 2016. Average Monthly Tax Credit (2016): Average monthly tax credit amount in 2016. State Medicaid Expansion (2016): Indicates whether the state expanded Medicaid in 2016. Medicaid Enrollment (2013): Number of Medicaid enrollees in 2013. Medicaid Enrollment (2016): Number of Medicaid enrollees in 2016. Medicaid Enrollment Change (2013-2016): Change in Medicaid enrollment from 2013 to 2016. Medicare Enrollment (2016): Number of Medicare enrollees in 2016. Exploratory Data Analysis (EDA) The exploratory data analysis includes:
Summary Statistics: Overview of the numerical data. Distribution of Uninsured Rates: Visualization of uninsured rates for 2010 and 2015. Change in Uninsured Rates: Analysis of the change in uninsured rates between 2010 and 2015. Health Insurance Coverage Change: Investigation of the change in health insurance coverage. Medicaid and Medicare Enrollment: Examination of Medicaid and Medicare enrollment statistics. Installation To run the analysis, you will need Python and the following libraries:
pandas matplotlib seaborn You can install the required libraries using pip:
Copy code pip install pandas matplotlib seaborn Usage Clone the repository: bash Copy code git clone <repository_url> Navigate to the project directory: bash Copy code cd <project_directory> Run the Jupyter notebook to perform the analysis and generate visualizations: Copy code jupyter notebook Open health_insurance_coverage_analysis.ipynb and run the cells to see the analysis and visualizations. Conclusion This project provides a comprehensive analysis of health insurance coverage data across different states in the U.S. from 2010 to 2016. The visualizations help in understanding the trends and changes in health insurance coverage, providing valuable insights into public health policy and its impact.