Python Data Analytics Pathway Project: Medical Insurance Costs

shepdog36 · January 26, 2024, 5:00pm

Hello everyone, I would love to get some feedback on this project:

BrantShep/US-Medical-Insurance-Costs/blob/4c083c020c32f0040bd8a67e660f091c3ab9401d/main.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# US Medical Insurance Costs"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This project will look at insurance costs and consider the impact of where a person lives on their insurance cost. An analyzation of the different factors that contribute to insurance costs will be considered to determine why insurance costs in one area are, on average higher than other areas. Factors that will be considered are as follows: The sex of the insured, the number of children in the household, the bmi of the insured, the age of the insured and if the insured is a smoker or not. We will contrast these factors for both the region with the highest cost and the region with the lowest cost to determine if any patterns emerge that would lead to a higher average insurance cost in one region versus another."
   ]
  },
  {
   "attachments": {},

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Python Data Analytics Pathway Project: Medical Insurance Costs

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