djdebonis/jeep_subaru

analysis of 2008 Jeep Libertys vs 2008 Subaru Outbacks

Welcome!

David J DeBonis

jeep_subaru's Issues

Readme

Before making public, develop this readme so that it discusses the code more explicitly. Also, add a table of contents

Small Questions

• Should all of the modules be imported at the beginning, or should they be added as the code goes on/as they're needed?

streamlit app for regression

analysis development

I want to add the following information: how much did these cars cost on average MSRP? Then, based on the mean used-sales prices, what degree has each retained their value relatively? Clearly (according to what we already have) the Subarus are worth more used, but both Dan and I predicted that since the beginning--does that necessarily imply that Subarus retain their value better?--no.

There is also more speculative analysis that could go into this: based on what the data says, what can we interpret about the vehicles? Are most Jeeps being sold at 110k because their transmissions are going out? Are Subarus reliable, practical, or both, and how does this influence their used sale values and value retention?

etc. etc. etc.

IQR for exploring outliers

add option to remove outliers

Fix readme

I wrote this (and most of my readme) without really knowing what a readme should contain. Make this more accessible, and the narrative stuff can either go at the end or in another .md file

table of contents

add table of contents to readme

Add readme

To make this public, we need a document welcoming people to this project. @djdebonis i think you should outline the following:

• what were you hoping to find out?
• where did the data come from?
• what did we do?

improve readme

give a little bit of explanation for each of the matplot charts that are currently just thrown into the readme