##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
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## filter, lag
## The following objects are masked from 'package:base':
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## intersect, setdiff, setequal, union
## Loading required package: viridisLite
library(ggthemes)
library(tidyr)
dta <-read.csv("C:/tmp/Economist_women-research.csv",sep=",", header = T, stringsAsFactors = FALSE)
##依順序命名
names(dta)<-c("Country","Health Sciences","Physical Sciences","Engineering","CS and Math","Women Inventores")
##結合兩欄語法
dta <- gather(dta, subject, percentage, 2:6)
##查看資料
head(dta)
## Country subject percentage
## 1 Country Health Sciences Health sciences
## 2 Japan Health Sciences 0.24
## 3 Chile Health Sciences 0.43
## 4 United Kingdom Health Sciences 0.45
## 5 United States Health Sciences 0.46
## 6 Mexico Health Sciences 0.46
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