Lake view with a sunset in Bellevue, King County. Source: unsplash.com
The goal of this project is to present to a fictitious stakeholder, our recommendations based on Exploratory Data Analysis (EDA) of the King County Housing Dataset.
Our stakeholder for this project is Mr. Zachary Brooks, with the following requirements:
Seller. Invests in historical houses, best neighborhoods, high profits, best timing within a year, should renovate?
This repository contains a requirements.txt file with a list of all the packages and dependencies you will need.
To install the environment you can use the following commands:
pyenv local 3.9.8
python -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt
Before you can start with plotly in Jupyter Lab you have to install node.js (if you haven't done it before):
brew update
brew install node
In this repository you will find:
-
EDA_Project_Notebook.ipynb : Jupyter notebook with Exploratory Data Analysis (EDA), python code, visualizations, documentation
-
EDA_Project_Slides.pdf : Presentation of the results of the EDA
-
column_names.md : Descriptions of the columns