library(highcharter)
library(tidyr)
library(plotly)
library(dplyr)
basedf<-read.csv("dev/matma_bayes/heart.csv", header = TRUE)
siha<-read.csv('dev/matma_bayes/sex_if_heart_attack.csv')
df2<-read.csv('dev/matma_bayes/age_sex_heart_attack.csv')
chol<-read.csv('dev/matma_bayes/chol_sex_heart_attack.csv')
basedf$sex[basedf$sex==1]<-'Man'
basedf$sex[basedf$sex==0]<-'Woman'
df2$sex[df2$sex==1]<-'Man'
df2$sex[df2$sex==0]<-'Woman'
chol$sex[chol$sex==1]<-'Man'
chol$sex[chol$sex==0]<-'Woman'
df2$x<-paste(df2$sex,df2$age)


basedf%>%
  count(sex)%>% arrange(n)%>%
  hchart(type = "pie", hcaes(x=sex, y = n, color = n), name="Quantity") %>%
  hc_title(text="<b>Sex in dataset</b>")


siha%>%
  hchart(type = "pie", hcaes(x=sex, y = Probability, color = Probability), name='Probability') %>%
  hc_title(text="<b>Sex if heart attack</b>")




df2%>%
  hchart('column', hcaes(x=x, y=heart.attack, group=age))%>%
  hc_plotOptions(column = list(stacking = "normal"))%>%
  hc_xAxis(title=list(text='Age'))%>%
  hc_yAxis(title=list(text='Probability'))%>%
  hc_legend(enabled=F)%>%
  hc_title(text="<b>Probability of heart attack for sex and age group</b>")


chol %>%
  drop_na(heart.attack)%>%
    plot_ly(x = ~heart.attack,
            y = ~sex,
            type = 'bar',
            orientation = 'h',
            color = ~chol,
            colors ='Spectral',
            hoverinfo = 'text',
            text = ~paste('Probability:', heart.attack, '<br> Interval:', chol),
          xaxis=list(categoryorder='total descending')) %>%
 layout(title = 'Chol/probability',
       xaxis = list(title = "Probability"),
      yaxis = list(title = "Cholesterol"))