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Faizan_khi_R_Assignment#2/Faizan_khi_R_Assignment2.R

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+library(dplyr)
+library(readr)
+library(tidyr)
+library(lubridate)
+
+Hospital_data <- read.csv("E:/DIH/RWork/Assignment/hospitaldata.csv",header = TRUE, stringsAsFactors = FALSE)
+#Q1
+#View(Hospital_data)
+names(Hospital_data) <- gsub("\\." ," ", names(Hospital_data))
+#View(Hospital_data)
+
+#Q3
+Hospital_data$Age<-gsub("M" ,"", Hospital_data$Age)
+Hospital_data$Age <- as.numeric(Hospital_data$Age)
+mean(Hospital_data$Age,na.rm=TRUE)
+
+#Q4
+length(which(Hospital_data$Age <= 12 & Hospital_data$Age >=1))
+
+#Q5
+Hospital_data$Sex<-gsub("f" ,"F", Hospital_data$Sex)
+Hospital_data%>%
+  filter(Sex=='M')%>%
+  group_by(Procedure)%>%
+  summarize(maxi=n())%>%
+  filter(maxi==max(maxi))%>%
+  print
+
+Hospital_data%>%
+  filter(Sex=='F')%>%
+  group_by(Procedure)%>%
+  summarize(maxi=n())%>%
+  filter(maxi==max(maxi))%>%
+  print
+
+#Q6
+Hospital_data$`Total  Charges` <- as.numeric(Hospital_data$`Total  Charges`)
+Hospital_data%>%
+  group_by(`Consulting  Doctor`)%>%
+  summarize(high=sum(`Total  Charges`, na.rm=TRUE))%>%
+  filter(high==max(high))%>%
+  print
+
+#Q7
+Hospital_data$`Total  Charges` <- as.numeric(Hospital_data$`Total  Charges`)
+Hospital_data%>%
+  group_by(Procedure)%>%
+  summarize(high=sum(`Total  Charges`, na.rm=TRUE))%>%
+  filter(high==max(high))%>%
+  print
+
+#Q8
+Hospital_data$Time<-hour(strptime(Hospital_data$Time, "%I:%M %p" ))
+Hospital_data$Time
+Hospital_data %>%
+  filter(!is.na(Time), Time != '-') %>%
+  group_by(Time) %>%
+  summarize(timeCount = n()) %>%
+  filter(Time != '') %>%
+  filter(timeCount == max(timeCount))
+
+
+
+
+#Q10
+Hospital_data%>%
+  group_by(id)%>%
+  summarize(repeat_id=n())%>%
+  filter(repeat_id>1)%>%
+  nrow()%>%
+  print
+
+
+#Q11
+Hospital_data%>%
+  group_by(id)%>%
+  summarize(repeat_id=n())%>%
+  filter(repeat_id>1)%>%
+  print
+
+#Q12
+Hospital_data%>%
+  group_by(id,Procedure)%>%
+  summarize(repeat_id=n())%>%
+  filter(repeat_id>1)%>%
+  print
+
+#Q13
+Hospital_data%>%
+  filter(Sex=='M')%>%
+  select(Age)%>%
+  summarize(med=median(Age,na.rm=TRUE))%>%
+  print
+
+Hospital_data%>%
+  filter(Sex=='F')%>%
+  select(Age)%>%
+  summarize(med=median(Age,na.rm=TRUE))%>%
+  print
+
+#Q14
+Hospital_data$`Amount  Balance`<-gsub("," ,"",Hospital_data$`Amount  Balance` ,fixed=TRUE)
+Hospital_data$`Amount  Balance`<-gsub(".00" ,"", Hospital_data$`Amount  Balance`,fixed=TRUE)
+Hospital_data$`Amount  Balance` <- as.numeric(Hospital_data$`Amount  Balance`)
+Hospital_data%>%
+  select(`Amount  Balance`)%>%
+  summarize(sum1=sum(`Amount  Balance`, na.rm=TRUE))%>%
+  print
+
+#Q15
+Hospital_data%>%
+filter(Procedure=='Consultation')%>%
+  select(`Total  Charges`)%>%
+  summarize(maxi=sum(`Total  Charges`,na.rm=TRUE) )%>%
+  print
+
+#Q17
+Hospital_data %>%
+  filter(!is.na(Age), Age!='-') %>%
+  group_by(Age) %>%
+  summarize(AgeCount=n()) %>%
+  filter(Age!='') %>%
+  filter(AgeCount == max(AgeCount))%>%
+  print
+
+
+#Q18
+Hospital_data%>%
+  filter(Procedure=='X Ray'| Procedure=='Scalling')%>%
+  select(`Total  Charges`)%>%
+  summarize(maxi=sum(`Total  Charges`,na.rm=TRUE) )%>%
+  print
+