如何在R中找到分组意义？

Question

我的数据集的头部看起来像这样。

    Hotel_name                          Review_Title Sentiment
1 Accord Metropolitan Excellent comfortableness during stay         3
2 Accord Metropolitan Excellent comfortableness during stay         3
3 Accord Metropolitan Excellent comfortableness during stay         3
4 Accord Metropolitan Excellent comfortableness during stay         3
5 Accord Metropolitan Excellent comfortableness during stay         3
6 Accord Metropolitan                   Not too comfortable         1
   Rating_Percentage  X X.1 X.2 X.3     word
1               100 NA      NA  NA     nice
2               100 NA      NA  NA     stay
3               100 NA      NA  NA business
4               100 NA      NA  NA  tourist
5               100 NA      NA  NA  purpose
6                20 NA      NA  NA    hotel

我想找到每家酒店的平均情绪。像
Hotel_Name情绪
X 2.6
是2.2

Answer 1

这看起来像是dplyr的一个很好的用例

library("dplyr")
data %>%
  group_by(Hotel_name) %>%
  summarise(mean_sentiment = mean(Sentiment))

Answer 2

您可以使用 data.table 包，通过 setDT 将数据更改为 data.table ：

library(data.table)
setDT(data)[,.(Sentiment= mean(Sentiment)),by=Hotel_Name]