###類別資料分析__男女對顏色的喜好的差異?

#下載資料:https://www.kaggle.com/hb20007/gender-classification?select=Transformed+Data+Set+-+Sheet1.csv
#檔名為"Transformed Data Set - Sheet1.csv"
#從電腦端上傳(upload)到rstudio cloud
library(readr)
#讀取資料,命名為"x"
x <- read.csv("Transformed Data Set - Sheet1.csv")
#查看資料結構
summary(x)
##  Favorite.Color       Favorite.Music.Genre     Favorite.Beverage
##  Cool   :37     Electronic      : 8        Beer         :13     
##  Neutral: 7     Folk/Traditional: 4        Doesn't drink:14     
##  Warm   :22     Hip hop         : 8        Other        :11     
##                 Jazz/Blues      : 4        Vodka        : 9     
##                 Pop             :17        Whiskey      : 9     
##                 R&B and soul    : 6        Wine         :10     
##                 Rock            :19                             
##       Favorite.Soft.Drink Gender
##  7UP/Sprite     :13       F:33  
##  Coca Cola/Pepsi:32       M:33  
##  Fanta          :14             
##  Other          : 7             
##                                 
##                                 
## 
#重新命名欄位名稱
colnames(x) <- c("color", "music", "beverage", "drink", "gender")     


#問題:男女對顏色的喜好的差異?

#次數分配表
t <- table(x$gender,x$color)
t
##    
##     Cool Neutral Warm
##   F   17       3   13
##   M   20       4    9
#百分比次數分配表
p.t <- prop.table(t)
p.t <- round(p.t*100,2)
p.t
##    
##      Cool Neutral  Warm
##   F 25.76    4.55 19.70
##   M 30.30    6.06 13.64
#畫分組長條圖
barplot(p.t)

barplot(p.t, beside = TRUE)