Indexé dans
- RechercheBible
- CiteFactor
- RechercheRef
- Université Hamdard
- EBSCO AZ
- Publions
- Fondation genevoise pour la formation et la recherche médicales
- Pub européen
- Google Scholar
Liens utiles
Partager cette page
Dépliant de journal
Revues en libre accès
- Agriculture et aquaculture
- Alimentation et nutrition
- Biochimie
- Bioinformatique et biologie des systèmes
- Business & Management
- Chimie
- Génétique et biologie moléculaire
- Immunologie & Microbiologie
- Ingénierie
- La science des matériaux
- Neurosciences & Psychologie
- Science générale
- Sciences cliniques
- Sciences environnementales
- Sciences médicales
- Sciences pharmaceutiques
- Sciences vétérinaires
- Soins infirmiers et soins de santé
Abstrait
The Best Way Interactive COVID-19 Cases Data Interpretation and Visualization using R Programming
Yagyanath Rimal
This paper best way to interactive COVID-19 cases data interpretation and visualization using r programming is a new way of presenting national COVID cases of using open-data resources. The new cases at present in many countries still have been breaking out the last day records even though taking various control measures worldwide. The official records from the worldwide governments are presented statists records with less data trend and patterns centric without interactive visualization of its growth trend. The interactive map, plots, and charts have more informative rather than statists figures of COVID cases. Here I identify the variables required to analyze the country's COVID-19 cases like the US, India, having many states, cities for analyzing COVID records using r programming. Although there is a large variety of COVID-19 cases records are being officially collected, stored, and presented worldwide, whose data management and organization with proper validate records are still in limitations for the researcher to handled proper use of open-data resources directly for demographical interactive visualization of COVID cases.