https://github.com/flower-of-the-bridges/va-project

Project for the Visual Analytics course from the Engineering in Computer Science master degree at Sapienza
https://github.com/flower-of-the-bridges/va-project

d3-js d3-visualization data-visualization data-viz visual-analytics

Last synced: 6 days ago
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Project for the Visual Analytics course from the Engineering in Computer Science master degree at Sapienza

• Host: GitHub
• URL: https://github.com/flower-of-the-bridges/va-project
• Owner: flower-of-the-bridges
• License: lgpl-3.0
• Created: 2020-12-17T11:40:51.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-03-02T11:37:34.000Z (over 3 years ago)
• Last Synced: 2024-02-10T20:27:21.496Z (9 months ago)
• Topics: d3-js, d3-visualization, data-visualization, data-viz, visual-analytics
• Language: SCSS
• Homepage:
• Size: 13.4 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Correlation between COVID-19 and Mobility in Italy

The project deals with presenting a data visualization regarding the effects of the *CoVid-19 Pandemic* in Italy, during the year 2020. This work focuses the attention towards an hypothetical governmental decision maker, who needs to evaluate the effectiveness of the current anti-contagion measures to plan out the future actions. For accomplishing this task, through a visual environment, a comparison in certain temporal intervals between the variation of people’s movement and some indicators of the pandemic situation is performed, with respect to the different Italian Regions. More details on the [Report](https://github.com/GiovFiordeponti/VA-Project/blob/main/docs/Report.pdf) and the [Presentation](https://github.com/GiovFiordeponti/VA-Project/blob/main/docs/presentation.pdf) (available also in [PowerPoint format](https://github.com/GiovFiordeponti/VA-Project/raw/main/docs/presentation.pptx))

## Datasets

The following datasets have been used to create the visual environment:

* [Dati COVID-19 Italia](https://github.com/pcm-dpc/COVID-19)

* [Google Data Mobility](https://www.google.com/covid19/mobility/)

## Release

### Github Pages

The application is available on [Github pages](https://giovfiordeponti.github.io/VA-Project/prod/)

### Run Locally

* Windows only: run `npm install --global --production windows-build-tools` as Admin

* run `npm install`

* run `npm run build` (production purposes only)

* run `npm run start`

## References

Some articles from [VisComm: Workshop on Visualization for Communication](https://virtual.ieeevis.org/session_w-comm.html):

* [Mapping the Landscape of COVID-19 Crisis Visualizations](https://osf.io/kd3y9/)

* [Tile Narrative: Scrollytelling with Grid Maps](https://osf.io/xr64m)

An article from [IEEE VIS: Visualization & Visual Analytics 2020](http://ieeevis.org/year/2020/info/papers-sessions):

* [A Visual Analytics Based Decision Making Environment for COVID-19 Modeling and Visualization](https://www.researchgate.net/publication/344828659_A_Visual_Analytics_Based_Decision_Making_Environment_for_COVID-19_Modeling_and_Visualization)

## Authors

* [Giovanni Fiordeponti](https://www.linkedin.com/in/giovanni-fiordeponti-070aa3172/)

* [Antonio Ionta](https://www.linkedin.com/in/antonio-ionta-a349b515a/)

* Silvia Marchiori