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California Wildfire and Climate Data Dashboard

Overview

This repository contains the code and data for the California Wildfire and Climate Data Exploration Dashboard. This dashboard allows users to interact with and visualize a wide range of environmental data related to the California region, including information on Aerosol, precipitation, temperature, wind speed, and humidity.

Structure

The project is organized into the following directories and files:

  • USA_fire_date_2010_2023/: Fire data from 2010 to 2023
  • image/: Logos and images used in the dashboard.
  • pages/: Individual Streamlit pages.
  • Aerosol_data/: Contains processed Aerosol data.
  • humidity_data/: Contains processed humidity data.
  • precipitation_data/: Contains processed precipitation data.
  • temperature_data/: Contains processed temperature data.
  • wind_data/: Contains processed wind data.
  • processing_scripts/: Contains processing scripts.
  • Legacy/: Contains legacy scripts not used in final dashboard
  • California_County_Boundaries.geojson: California_County_Boundaries.
  • ML_dataframe.csv: The machine learning data frame used for analysis.
  • environment_v1.0.yml: The conda environment file with all required dependencies. (This one may still need updating)
  • data_loader.py: Some Data Functions and Chart Functions.
  • requirements.txt: List of dependencies used by streamlit deploy service.

Usage

To run the dashboard locally: clone the repository, set up, and activate the environment using the provided environment_v1.0.yml file:

$ conda env create -f environment_v1.0.yml
$ conda activate new_env

After activating the environment, run:

$ streamlit run Home.py

Or alternatively, access remotely here

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A collaborative project in creating a climate change dashboard

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