第三節：D3動力排版圖(3)
- 下圖是我們利用D3 Association Rules Explorer利用大賣場的發票資料所挖掘的物品購買行為之間的關聯性
– 舉例來說，第一條規則告訴我買了Instant food products與soda的人相較於其他人，將有18.996倍的機率再購買hamburger meat！
– 然而，關聯規則實在是太多筆了，我們如果想要一次讀完所有關聯性，使用D3動力排版圖是一個好選擇
- 請至這裡下載幾條關係式
dat = read.csv("Rules.csv")
dat## rule.Input_1 rule.Input_2 rule.Input_3
## 1 Instant food products soda
## 2 popcorn soda
## 3 baking powder flour
## 4 ham processed cheese
## 5 Instant food products whole milk
## 6 curd other vegetables whipped/sour cream
## 7 domestic eggs processed cheese
## 8 other vegetables tropical fruit white bread
## 9 hamburger meat whipped/sour cream yogurt
## 10 domestic eggs other vegetables tropical fruit
## rule.Input_4 rule.Input_5 rule.Output support confidence
## 1 hamburger meat 0.001220132 0.6315789
## 2 salty snack 0.001220132 0.6315789
## 3 sugar 0.001016777 0.5555556
## 4 white bread 0.001931876 0.6333333
## 5 hamburger meat 0.001525165 0.5000000
## 6 yogurt cream cheese 0.001016777 0.5882353
## 7 white bread 0.001118454 0.5238095
## 8 yogurt butter 0.001016777 0.6666667
## 9 butter 0.001016777 0.6250000
## 10 whole milk yogurt butter 0.001016777 0.6250000
## lift
## 1 18.99565
## 2 16.69779
## 3 16.40807
## 4 15.04549
## 5 15.03823
## 6 14.83409
## 7 12.44364
## 8 12.03058
## 9 11.27867
## 10 11.27867