dgkm / covid-19-dash-map

The tutorial for how to render a map in python and graph data based off coordinates

##Covid-19 Plotly Dashboard Project

View the Application Here: https://covid-dash-udemy.herokuapp.com/

Introduction Video:

How to Build Maps Tutorial Video

Learn More on Django, Plotly & Dash on my Full Course:

Full Udemy Course

Maps & Graphs

tab_home

1. Graph 1: Find Cases, Recoveries & Deaths on the map bubble chart.
2. Graph 2: See our global growth rate & notice the data from china in red. It isnt because China is amazing its not growing because China's Numbers are unreliable.

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tab_usa_map

1. Graph 1: Scale the Case Rate & update the graph bellow. See what areas are affected & How many cases near you by hovering over the map.
2. Graph 2: Show the current cases in the USA with a layered bar chart to represent each states growth contributions.

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tab_snapshot

1. Graph 1: Select a date from the dropdown menu 3/27/2020 -> Now & fetch on the dataset in the table.
2. Graph 2: Bar Graph Representing the contributions by country Table Dataset: Dataset being fetched by selecting a date.

Async Data

fetch_today.main(date: str, value:int, usa_only:bool): returns today's values only

fetch_to_date.main(date: str, value:int, usa_only:bool): returns (selected date) -> Yesterday's Values. f'https://covid19.mathdro.id/api/daily/{date}'

fetch_historic.main(): returns https://covid19.mathdro.id/api/daily

How to Install

• Create an virtual env

  1. Check if you have a virtual env virtualenv --version
  2. (Not Installed) Dont see a version number? run sudo pip install virtualenv
  3. (Installed) Make a folder within the highest file of the project mkdir ~/env
  4. run virtualenv ~/env/my_new_app
  5. cd into the bin folder cd ~/env/my_new_app/bin
  6. activate the env source activate

• pip install -r requirements.txt

• Run the individual Files

Useful Links

Plotly

Dash Docs

dash-bootstrap-components

Covid-19 Data Used

Still Have Questions?

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