ds-project-1: EDA with King County Housing Data

First individual project at the neuefische Data Science bootscamp performing EDA.

The overall goal is to perform an Exploratory Data Analysis (EDA) of the King County Housing Data having in mind the requests of a hypothetical stakeholder named Nicole Johnson, who seeks to buy a house for a "lively, central neighborhood, middle price range, right timing (within a year)". The walk through can be found in EDA.ipynb.

Requirements

• pyenv
• python==3.9.8
• jupyterlab==3.2.6
• ipywidgets==7.6.5
• matplotlib==3.5.1
• pandas==1.3.5
• numpy==1.22.0
• jupyterlab-dash==0.1.0a3
• seaborn==0.11.1

Setup

First of all, we want to create a new virtual environment with the most basic python modules. Therefore we are (either with 1 or 2):

1) pyenv

• setting the python version locally to 3.9.8
• creating a virtual environment using the venv module
• activating our newly created environment
• upgrading pip (optional, but handsome)
• installing the required packages via pip

The above modules are listed in a separate requirements file. Therefore, we just need to run the following command to set up the virtual environment and the required packages like this:

pyenv local 3.9.8
python -m venv .venv
source .venv/bin/activate
pip install --upgrade pip  
pip install -r requirements.txt

2) anaconda

• upgrade the conda package manager to the latest version
• creating a virtual environment named venv_nf-p1 with set python version
• activating our newly created environment
• installing the required packages via conda from channel conda-forge

conda update conda
conda create -n venv_nf-p1 python=3.9.8
conda activate venv_nf-p1
conda install -c conda-forge --file requirements.txt

Data

The dataset for the population density for the notebook zipcode_data_king_county.ipynb is stored in the data.zip folder. To unzip the data folder directly in the terminal run

unzip data.zip

For the other datasets links are given within the notebooks.