## DATA SCIENCE IN A PANDEMIC

## Professor Dennis F.X. Mathaisel

## This script entails a data structure visualization, ## referenced as Figure 1 in the paper.

# Script developed by Abdullah Zahid under direction of Professor Mathaisel

# Continental Cases and Deaths of COVID-19

library(ggplot2) library(dplyr) library(hrbrthemes) library(viridis) library(Hmisc) library(tidyr) library(ggvis)

# Set the working directory

setwd(“C:/Docs/Papers/COVID-19/Journal Papers/1st Paper Data Science in a Pandemic/Data Science Journal/Revision Data Science Journal/Scripts/1st Paper Scripts Repository/Data”)

covid= read.csv(“Asia Top 5 Cases.csv”) #Checking structure of Data

str(covid)

#Checking Missing NA of Data anyNA(covid$date) anyNA(covid$day) anyNA(covid$month) anyNA(covid$cases) anyNA(covid$deaths) anyNA(covid$countries) anyNA(covid$geoId) anyNA(covid$countrycode) anyNA(covid$popData2018) anyNA(covid$continent)

library(plotly) df <- covid

fig <- df %>% plot_ly(

x = ~countries, y = ~cases,

split = ~countries, type = ‘violin’, box = list(

visible = T

),

meanline = list(

visible = T

)

)

fig

fig <- fig %>% layout(

xaxis = list(

title = “Asia COVID Cases”

),

yaxis = list(

title = “Number of Cases”, zeroline = F

)

)

fig

# END OF SCRIPT