climate-change-dashboard

Monash Uni Data Analytics Bootcamp Project 2

Introduction

Evidence of global heating has been accumulating over the past three decades and it is now widely accepted that the climate is undergoing a rapid change. In Australia the major impacts of global heating include increased occurances of heat waves, changes to the rainfall patterns, and increased occurances of days where the weather enhances bush fires.

The project consists of three components:

• The sql database to house the climate data and to provide data to the web page
• The API to provide a URL for web page queries
• The web page to provde the means to explore the data

Data

The data were downloaded from Climate Change in Australia which is a collaboration between the CSIRO and the Australian Government Bureau of Meteorology.

File Structure

• README.md
• Future_Climate_Predictions_for_Australia.pdf Project proposal
• Project2_presentation.pdf Project presentation
• requirements.txt Python requirements
• /dashboard
  • index.html Landing page for the web site
  • /api Python scripts for the api
  • /data Input csv files to put into the database
  • /load_db Python scripts to build the database
  • /static Scripts to run the web site

Installation Notes

The landing page is climate-change-dashboard/dashboard/index.html

Build the database
The application builds a database called Climate_DB in a PostgreSQL data base, assuming that the username is postgres.

1. Create a python environment using the requirements.txt file.
2. Change directory to climate-change-dashboard/dashboard/load_db
3. Edit config.py to set your postgres password.
4. Run load-tables.py to create and load the data.

Start the app to serve the data

1. Change directory to climate-change-dashboard/dashboard/api
2. Edit api_keys.py to set your postgres password.
3. Run app.py.