EDA Project - King County real estate

Bootcamp EDA project

Objective

Within the scope of this project the real estate trade data (2014-05 to 2015-05) from King County (WA) were inspected and suggestions for the client were given. The client was choosen from the list and some details were provided, namely:

Erin Robinson | Buyer | Invest in poor neighborhood, buying & selling, costs back + little profit, socially responsible

Requirements (from requirements.txt)

• altair - 5.3.0
• seaborn - 0.13.2
• jupyterlab - 4.0.1
• ipywidgets - 8.0.6
• jupyterlab-dash - 0.1.0a3
• python-dotenv - 1.0.0
• psycopg2-binary - 2.9.7
• SQLAlchemy - 2.0.15
• missingno - 0.5.2

Files and folders

• EDA_project.ipynb - Jupyter notebook with all the code, used to investigate the dataset and visualize findings.
• EDA_project.pdf - PDF version of the presentation
• requirements.txt - list of required libraries
• img/ - folder, containing sources of images used in EDA_project.pdf
• assignment.md - description of the assignment and deliverables

Setup Environment

This repo contains a requirements.txt file with a list of all the packages and dependencies you will need.

Before you can start with plotly in Jupyter Lab you have to install node.js (if you haven't done it before).

• Check Node version by run the following commands:

  node -v

  If you haven't installed it yet, begin at step_1. Otherwise, proceed to step_2.

macOS type the following commands :

• Step_1: Update Homebrew and install Node by following commands:

  brew update
  brew install node

• Step_2: Install the virtual environment and the required packages by following commands:

  pyenv local 3.11.3
  python -m venv .venv
  source .venv/bin/activate
  pip install --upgrade pip
  pip install -r requirements.txt

WindowsOS type the following commands :

• Step_1: Update Chocolatey and install Node by following commands:

  choco upgrade chocolatey
  choco install nodejs

• Step_2: Install the virtual environment and the required packages by following commands.

  For PowerShell CLI :

  pyenv local 3.11.3
  python -m venv .venv
  .venv\Scripts\Activate.ps1
  pip install --upgrade pip
  pip install -r requirements.txt

  For Git-Bash CLI :

  pyenv local 3.11.3
  python -m venv .venv
  source .venv/Scripts/activate
  pip install --upgrade pip
  pip install -r requirements.txt

Note: If you encounter an error when trying to run pip install --upgrade pip, try using the following command:

python.exe -m pip install --upgrade pip