https://github.com/albbus-stack/covid19-italy

Map and charts data visualization of Covid19 cases in Italy.
https://github.com/albbus-stack/covid19-italy

charts-data-visualization covid covid-19 covid-19-italy covid19-graph italy plotly python

Last synced: 4 days ago
JSON representation

Map and charts data visualization of Covid19 cases in Italy.

• Host: GitHub
• URL: https://github.com/albbus-stack/covid19-italy
• Owner: albbus-stack
• License: gpl-3.0
• Created: 2020-03-26T22:58:12.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-01-11T17:27:38.000Z (12 months ago)
• Last Synced: 2024-12-10T11:51:50.852Z (12 days ago)
• Topics: charts-data-visualization, covid, covid-19, covid-19-italy, covid19-graph, italy, plotly, python
• Language: Python
• Homepage: https://cov-19-it.herokuapp.com/
• Size: 32.1 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# covid19-italy

[![GPLv3 License](https://img.shields.io/badge/%20License-GPL%20v3-yellow?style=flat-square&labelColor=black)](https://opensource.org/licenses/)

[![Plotly](https://img.shields.io/badge/%20-Plotly-blue?style=flat-square)](https://github.com/plotly)

[![Committed](https://img.shields.io/github/last-commit/albbus-stack/covid19-italy?label=Committed&color=42c5f5&style=flat-square&logo=heroku&logoColor=42c5f5&logoWidth=17&labelColor=black)](https://github.com/albbus-stack/covid19-italy/commits)

Map and charts data visualization of __Covid19__ cases in __Italy__, kindly hosted by [GCP](https://cloud.google.com/appengine) on https://cov19-it.appspot.com/.

Built in Python 3.8, using [pandas](https://github.com/pandas-dev/pandas) to handle dataframes and [plotly](https://github.com/plotly/plotly.py) for interactive visualization, renders in browser using [dash](https://github.com/plotly/dash).

## Build it

###### Requirements

* Python 3.8

* Install all the requirements in [requirements.txt](requirements.txt).

###### Steps

1. Change the province you want to visualize in line 119 and 130 inside [main.py](main.py).

2. Change also the last line and a server will start locally (on http://127.0.0.1:8080/).

3. Run and enjoy. :octocat:

## Data Source

All the `.csv` files are pulled from [DPC](https://github.com/pcm-dpc/COVID-19) which updates them daily.

## Screenshot

![screenshot](/screenshot.png)