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.Rhistory
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shiny::runApp('Death')
shiny::runApp('Death')
runApp('MapData')
install.packages("Plotly")
install.packages("plotly")
runApp('MapData')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('MapData')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
runApp('Death')
shiny::runApp('DeathRecords')
disease
data
data <- read.csv("dummy.csv")
setwd("C:\Users\HP PC\Documents\DeathRecords")
setwd("C:/Users/HP PC/Documents/DeathRecords")
data <- read.csv("dummy.csv")
disease <- data$Disease
state <- data$LocationDesc
sex <- data$Sex
region <- data$Region
locationType <- data$LocationType
runApp()
states <- data$LocationDesc
runApp()
locationType
gender
sex
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp('~/car')
runApp('~/car')
install.packages('googleVis')
runApp('~/car')
setwd("C:/Users/HP PC/Documents/car")
data <- read.csv("dummy.csv")
region <- data$Region
runApp()
setwd("C:/Users/HP PC/Documents/DeathRecords")
data <- read.csv("DeathRecords.csv")
age <- data$Age
runApp()
runApp()
runApp()
runApp()
data <- read.csv("DeathRecords.csv")
new.data <- subset(data,Regions == "E.N.North")
new.data
new.data$LocationDesc
runApp()
runApp()
hist(age, main = "histogrm of price", prob = T)
plot(density(age),main = "kernel density of price", color = "red", border = "blue")
d<- density(age)
d<- density(age)
d<- density(na.omit(age))
plot(d)
plot(d,main = "kernel density of price", color = "red", border = "blue")
plot(d,main = "kernel density of price", col = "red", border = "blue")
lines(d)
runApp()
setwd("C:/Users/vrish/OneDrive/Documents/DeathRecords")
data <- read.csv("dummy.csv")
disease <- data$Disease
states <- data$LocationDesc
sex <- data$Sex
shiny::runApp()
runApp()
runApp()
runApp()
runApp()
runApp('~/superzipworking - Copy')
runApp('~/census-app/SuperZip')
runApp('~/census-app/SuperZip')
runApp('~/census-app/SuperZip')
runApp('~/census-app/SuperZip')
runApp('~/census-app/SuperZip')
runApp('~/census-app/SuperZip')
runApp('~/census-app/SuperZip')
runApp('~/census-app/SuperZip')
runApp('~/census-app/SuperZip')
runApp('~/census-app/SuperZip')
runApp('~/census-app/SuperZip')
runApp('~/census-app/SuperZip')
runApp('~/census-app/SuperZip')
runApp('~/census-app/SuperZip')
runApp('~/census-app/SuperZip')
?jitter
runApp('~/census-app/SuperZip')
runApp('~/census-app/SuperZip')
install.packages("dplyr")
install.packages("dplyr")
library(dplyr)
library(dplyr)
install.packages("dplyr")
library(dplyr)
shiny::runApp('~/census-app/SuperZip')
runApp('~/DSM APP PROJECT')
library(dplyr)
runApp('~/DSM APP PROJECT')
runApp('~/census-app/SuperZip')
runApp('~/DSM APP PROJECT')
runApp('~/DSM APP PROJECT')
runApp('~/DSM APP PROJECT')
runApp('~/DSM APP PROJECT')
runApp('~/DSM APP PROJECT')
setwd(C:/Users/vrish/OneDrive/Documents/DSM APP PROJECT/)
setwd(C:/Users/vrish/OneDrive/Documents/DSM APP PROJECT)
setwd("C:/Users/vrish/OneDrive/Documents/DSM APP PROJECT")
data <- read.csv("data/dummy.csv")
disease <- data$Disease
states <- data$LocationDesc
sex <- data$Sex
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
setwd("C:/Users/vrish/OneDrive/Documents/DSM APP PROJECT")
View(allzips)
View(cleantable)
disease
data2 <- read.csv("data/dummy.csv")
disease <- data2$Disease
states <- data2$LocationDesc
sex <- data2$Sex
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
data <- read.csv("C:/Users/vrish/OneDrive/Documents/DSM APP PROJECT/data/DeathRecords_copy.csv")
df = as.data.frame(data)
plot_ly(df, x = df$sex, y = df$Age, z = df$Age2, group = sex, type = "scatter3d", mode = "lines")
plot_ly(df, x = df$Sex, y = df$Age, z = df$Age2, group = df$Sex, type = "scatter3d", mode = "lines")
plot_ly(df, x = df$Sex, y = df$Age, z = df$Age2, type = "scatter3d", mode = "lines")
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp('~/census-app/color_hist')
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
zipdata
input$statesInput
filtered2
ggplot(filtered2, aes(Age)) + geom_density()
filtered
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
?ggplot
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
install.packages("dichromat")
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
runApp()
?%>%
?drop
runApp()
runApp()
count(allzips)
?count
tally(group_by(allzips$LocationDesc, allzips$Disease), sort = TRUE)
count(allzips$LocationDesc, allzips$Disease)
count(allzips$LocationDesc)
?table
table(allzips$LocationDesc, allzips$Disease)
count(allzips$LocationDesc)
table(allzips$LocationDesc)
count(allzips$LocationDesc)
length(which(allzips$LocationDesc))
length(allzips$LocationDesc)
length(allzips$LocationDesc, allzips$Disease)
length(unique(allzips$LocationDesc))
length(unique(allzips$zipcode))
total <- length(unique(allzips$zipcode))
total
runApp()
runApp()
shiny::runApp()
runApp()
runApp()
runApp()
runApp()