Aca Health Insurance Coverage Analysis
Affordable Care Act Health Insurance Coverage Analysis
By: Calvin King
Date: April 16, 2022
The 'Affordable Care Act (ACA) was signed into law on March 23, 2010 and was designed to reduced the costs that US citizens pay in uncompensated healthcare.
The law requires every American to hold health insurance and it becomes necessary to understand how this mandate has shaped US health policy and impacted Americans since its implementation.
In the following notebook we are going to be performing an impact analysis on a collection of data pertaining to US health insurance coverage after the ACA was signed into law. Afterwards, we'll conclude whether the ACA positively or negatively impacted the US healthcare system.
Importing the data
For this analysis, I'll be using Kaggle's 'Health Insurance Coverage' dataset, which can be found here.
#Importing the required libraries:
import numpy as np #Linear equations
import matplotlib.pyplot as plt #plotting visualizations
import seaborn as sns #deeper visualizations
import pandas as pd #dataframe control#Saving file to e-Notebook:
projectName = 'ACA Health Insurance Coverage Analysis'
jovian.commit(project=projectName)[jovian] Updating notebook "xxkohxx/aca-health-insurance-coverage-analysis" on https://jovian.ai/
[jovian] Committed successfully! https://jovian.ai/xxkohxx/aca-health-insurance-coverage-analysis
1. Data Prep and Cleaning
Now that we have the data imported, I will prepare teh data for further analysis by pre-analyzing, cleaning, and tidying the dataset.
First we'll check out the data's layout and structure:
