This repository contains a EDA on the King County Housing Data Set.
The purpose of this EDA is to find insights into the King County House Market, by analyzing the data in regards to three hypotheses, which we either confirm or discard during this EDA. The insights gained throughout this process will be used at a later point to get insight into a specific stakeholder situation and make fitting and relevant recommendations in regard to their situation.
As this repository come into existence due to an assignment of the Data Science Bootcamp from NeueFische, it also contains the following documents:
In addition to the jupyter notebook containing the full EDA incl. code, a presentation which highlights the hypotheses analysis and stakeholder recommendation is also included within this repository.
Additionally, an advanced EDA approach has been incorporated, to see if different insights can be generated.
The data set used for this EDA was the official King County housing data set for the period 9.9.2014 to 01.10.2015, which can also be found on Kaggle.
If you want to replicate this notebook, you can use the following lines in bash to create your virtual environment.
python -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txtIf you are interested in the packages and libraries used, check out the requirements file.