esharma3 / project_australian_bushfires_webapp Goto Github PK

I am in the process of finding a way to to load large chunk data into a pandas data frame. This requires chunking the data set into several pieces. In order to create the data frame, memory usage needs to be calculated.

Find global bushfire locations data and add it to the data folder. The data must be from Jan 2015 till Feb 2020 and must have latitudes and longitudes for the fire locations.

Find a data source for Australian Fire counts and add the data files to the data folder in the repo.

This issue represents my progress on building routes for the Global Fires Data.

Find Australian bushfire locations data and add it to the data folder. The data must be from Jan 2015 till Feb 2020 and must have latitudes and longitudes for the fire locations.

Create the pip and pip lock file with the required packages for the project and upload it to Github.

Before continuing on with the routes, templates, and .js file, I will go back and iterate through 4 cleaned csv files. The iterated data in the to_my_sql.py file will contain updated date ranges.

Working with the data has required careful handling to reduce memory usage. My remaining project work will be designed around this theme.

This issue will track my progress through chunking 2018 + 2017 data and writing it to MySQL.

This is the issue for finishing these portions of the project for the global fires data.

Find all the data that can be represented as 'IMPACTS of BUSHFIRE' in Australia. The impacts could be on human, wildlife, economic, psychological etc. The data could be in the form of csv, API or can be scraped.

Find all bushfire data (fires, animals, firefighters, anything that would make sense to add to our KI template) related to Kangaroo Island or other National Parks. The data could be in the form of csv files or can be scraped.

Write the code for scraping, cleaning and combining climate and air pollutant data. Create csv files with this data that will be uploaded to MySQL database.

Add climate and air pollutant data tables to the database.

Find Australia's climate data that can be correlated to the Australian bushfires and can be shown on graph as a reason contributing towards the bushfires.

Add fire count table(s) for the 3 states (NSW, Queensland, Victoria) to the database.

Create the master template that will be used by everyone when building their individual templates (web page for each route). This master template should have the navbar with all the route names and should be reviewed and approved by all group member.

Create a page using the default template to display the map of australia with pins corresponding to the australia fire archives

this route will be used to source the australia map displaying fire history

Create a one page project proposal document and submit before official project start date. The document will clearly describe the scope of the project.