Create a visualization (dashboard) that shows update on Coronavirus disease 2019 (COVID-19). dashboad will include.
Overall 1. No of cases by Country
Numbers of cases over time
Case by country and Age
US Vs Other country
Recevery rate compare to other country
Date case compare to compare to other countery
Data is in CSV format and updated daily. It is sourced from this upstream repository maintained by the amazing team at Johns Hopkins University Center for Systems Science and Engineering (CSSE) who have been doing a great public service from an early point by collating data from around the world.
Coronavirus disease 2019 (COVID-19) time series listing confirmed cases, reported deaths and reported recoveries. Data is disaggregated by country (and sometimes subregion). Coronavirus disease (COVID-19) is caused by the Severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) and has had a worldwide effect. On March 11 2020, the World Health Organization (WHO) declared it a pandemic, pointing to the over 118,000 cases of the coronavirus illness in over 110 countries and territories around the world at the time.
Sources The upstream dataset currently lists the following upstream datasources:
[World Health Organization (WHO)] (https://www.who.int/)
[DXY.cn. Pneumonia. 2020] (http://3g.dxy.cn/newh5/view/pneumonia.)
[National Health Commission of the People’s Republic of China (NHC)] (http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml)
[China CDC (CCDC)] ( http://weekly.chinacdc.cn/news/TrackingtheEpidemic.htm)
[Hong Kong Department of Health] (https://www.chp.gov.hk/en/features/102465.html)
[Macau Government] (https://www.ssm.gov.mo/portal/)
[Taiwan CDC] (https://sites.google.com/cdc.gov.tw/2019ncov/taiwan?authuser=0)
[Government of Canada] (https://www.canada.ca/en/public-health/services/diseases/coronavirus.html)
[Australia Government Department of Health] (https://www.health.gov.au/news/coronavirus-update-at-a-glance)
[European Centre for Disease Prevention and Control (ECDC)] (https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases)
[Ministry of Health Singapore (MOH)] (https://www.moh.gov.sg/covid-19)
[Italy Ministry of Health] (http://www.salute.gov.it/nuovocoronavirus)
This project will be managed in R. I’d like to explore using leaflet for the first time and will also be exploring R libraries for handling geospatial data like plotly, maptools, highcharter, crosstalk, and flexdashboard
I hope to animate the map to plot time using the gganimate with tweenr.
Currently planning to use Shiny web app.