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An interactive web app for visualising worldwide trends in Covid-19 data.

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Covid Visualiser

An interactive web app for visualising worldwide trends in Covid-19 data.

This project can be viewed live online.


1. Gallery


2. Installation

This project utilizes several dependencies, which can be installed with:

pnpm install --shamefully-hoist

Note

The --shamefully-hoist flag is required.


3. Usage

Starting the development server on localhost can be done with:

pnpm run dev

Note

Nuxt will first have to initialise, which can take some time (~20 seconds) before the project structure is loaded and hot-reloading is available.

Running a production build instead can be done with:

pnpm run build
pnpm run preview

4. Dataset

This project uses a subset of the publicly available "Data on COVID-19" dataset made by Our World in Data. Specifically, three measures are derived:

  1. total_cases - The total number of cases for a given country.
  2. people_vaccinated - The total number of people who recieved at least one dose in a given country.
  3. total_deaths - The total count of deaths attributed to Covid-19 in a given country.

This was then merged into the properties of each country in the publicly available geo-countries GEOJSON map sourced from Natural Earth data.

This project uses a subset of the publicly available "Data on COVID-19" dataset made by Our World in Data. Specifically, three measures are derived:

  1. total_cases - The total number of cases for a given country.
  2. people_vaccinated - The total number of people who recieved at least one dose in a given country.
  3. total_deaths - The total count of deaths attributed to Covid-19 in a given country.

This was then merged into the properties of each country in the publicly available geo-countries GEOJSON map sourced from Natural Earth data.


5. Tools

TOOL USAGE DOCS
Vercel Hosting docs
Nuxt Framework docs
Vue JS Framework docs
TailwindCSS Styling docs
Nuxt UI UI Components docs
Observable Plot Data Visualisation docs

6. Authorship

All work completed by Zoe Picone, Nathan Bridge-Earney, and Sam Mata in submission for SWEN422.

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An interactive web app for visualising worldwide trends in Covid-19 data.

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