Feedback/Suggestions Welcome. Thanks!

code0957173269 · July 1, 2021, 9:23pm

I found this project to be ok. I did enjoy doing it, and it has given me a hunger to learn more. I don’t have much confidence in Data Analysis at the moment, but I suppose as I learn more, it will get better! It took me 2-3 weeks to finish this project, but most of that time was spent trying to decide what to analyse and how. I didn’t want to look at what others did before I completed mine, as I did not want to be influenced by what others did. Here is a link to my project. Thanks to anyone who takes the time to read it and comment on it!

github.com

Gstegg/US_Medical_insurance_costs/blob/main/us-medical-insurance-costs.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# U.S. Medical Insurance Costs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Codecademy Data Analyst Career Path (Pro)<br>\n",
    "Python Portfolio Project<br>\n",
    "U.S. Medical Insurance Costs<br>\n",
    "by Ginger Steggles<br>\n",
    "\n",
    "I have a Mathematics background, but it has been over 20 years since I have done any Statistics, and even then it was elementary. I have not yet had a chance to review the subject of Statistics in my Data Analyst learning journey so far;  therefore, the analysis below is not statistically rigorous, and I use percentages and averages only. I have also only learned basic Python so far, and so I do not know how to make visualisations of the analyses presented. Basically, this shows how I can import data using the csv library and save it into lists. I maybe should have saved the data into a dictionary to handle the data a bit easier, I don't know. I am still unclear when to use functions and do not have a good understanding of classes, so the use of functions is very sporadic and the use of classes is non-existent. I might come back to this project later to fix this. Anyway, it is what it is at the moment, and I welcome any feedback.\n",
    "\n",

This file has been truncated. show original