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# constructing the data set
# this is week78 assignment for IS 607. Colloboratively done by Muthukumar and Rajagopal
response=c("Yes","No")
Edin1624=c(80100,35900)
Edin25plus=c(143000,214800)
Glass1624=c(99400,43000)
Glass25plus=c(150400,207400)

MuthuRaj.week78<- data.frame(response, Edin1624,Edin25plus,Glass1624,Glass25plus, stringsAsFactors = FALSE)

MuthuRaj.week78
##   response Edin1624 Edin25plus Glass1624 Glass25plus
## 1      Yes    80100     143000     99400      150400
## 2       No    35900     214800     43000      207400
###load tidyr and dplyr

library(tidyr)
library(dplyr)
## 
## Attaching package: 'dplyr'
## 
## The following object is masked from 'package:stats':
## 
##     filter
## 
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
MuthuRaj.tidy<-gather(MuthuRaj.week78,key,"NoVotes",Edin1624:Edin25plus)

MuthuRaj.tidy
##   response Glass1624 Glass25plus        key NoVotes
## 1      Yes     99400      150400   Edin1624   80100
## 2       No     43000      207400   Edin1624   35900
## 3      Yes     99400      150400 Edin25plus  143000
## 4       No     43000      207400 Edin25plus  214800