INDEX ZERO

Predictive Analysis of the Rent Level in Los Angeles with Environmental and Social Features

Team Members:

Cameron Yap, Emily Christiansen, Madeleine Thompson, Stefan Lin

To Run App:

cd <this_directory>
python init.py

You should then see something similar to the following on the command line:

Dash is running on http://127.0.0.1:8050/

Copy and paste the url to your browser to run the app locally and debug.

Requirements:

pip install dash
pip install dash_bootstrap_components
pip install plotly
pip install pandas
pip install geopandas

You will also need your own mapbox token stored in a file called .mapbox_token.

Repo Structure

- apps
    |-- __init__.py
    |-- about.py
    |-- data_exploration.py
    |-- ui.py
- assets
    |-- 
- data
    |-- agg_stats.csv
    |-- cleaned_data.csv
- models
    |-- ANN.py
- .gitignore
- app_copy.py (ignore this file, this is a copy of the original one-page app)
- app.py
- dashboard_layout.ipynb
- index.py
- README.md

Resources:

• Plotly Dash
  • Multi-page Support
  • Interactive Graphing
  • dcc.Graph
• Plotly
• Dash Bootstrap Cheatsheet
• Dash for Beginners: Create Interactive Python Dashboards (Towards Data Science)
• Beginner’s Guide to Building a Multi-Page App using Dash, Plotly and Bootstrap (Towards Data Science)
• Example Dash App Github Repository
  • github.com/meredithwan/covid-dash-app
• Mapbox
  • Mapbox Map layers in Plotly Dash
  • Choropleth
  • plotly.express.choropleth_mapbpox
  • Mapbox County Choropleth Example
• Machine learning simulation tool with Dash
• Python Dashboard using Dash. From Backend to Frontend
• Saving a Keras Deep Learning Model
• Deploying Dash App on Heroku