Health Insurance Analysis in U.S. (2010 to 2016)

Health insurance coverage data by state compiled from the US Department of Health and Human Services and US Census Bureau.

Data Source: https://www.kaggle.com/hhs/health-insurance
Jupyter Notebook: https://github.com/slp22/metis_IDS_project/blob/master/Health_Insurance_Analysis.ipynb

What data have you gathered, and how did you gather it?

Imported data from Kaggle, cleaned the dataframe (renamed columns, converted objects to floats), and dropped a row that has a different scope (national-level data).

How have you explored the data and what insights have you gained as a result?

Looked at correlations/heatmaps. Some correlations are suspiciously strong. Will need to look at the data for nuances.

Will you be able to answer your question with this data, or do you need to gather more data (or adjust your question)?

Yes, I will be able to answer my research questions with this data.

What modeling approach are you using to answer your question?

Unknown at this time. Will explore the data more before deciding on a model.

What is the question you hope to answer?

How has employer-sponsored health insurance coverage decreased the uninsured rates in various states?
How has Medicare expansion decreased the uninsured rates in the states that expanded?
Can we predict the next five years of nationwide health insurance coverage based on this data set?

What data are you planning to use to answer that question?

Health insurance coverage data compiled from the US Department of Health and Human Services and US Census Bureau from 2010 to 2016. Data Source: https://www.kaggle.com/hhs/health-insurance

What do you know about the data you're using so far?

The data is organized by state and includes different types of insurance, from public to private (employer-sponsored, health marketplace, Medicare, and Medicaid).

Why did you choose this topic?

I currently work in public health, where we often see health insurance coverage is a barrier to people seeking health care for preventive reasons. I'm interested to see the short-term effects of the Affordable Care Act passed in 2010.