获取日期观察的百分比答案

【问题标题】：Obtaining Percentage for Date Observations获取日期观察的百分比
【发布时间】：2022-01-08 15:56:23
【问题描述】：

我对 R 非常陌生，并且正在为这个概念而苦苦挣扎。我有一个看起来像这样的数据框： enter image description here

我已使用 summary(FoodFacilityInspections$DateRecent) 来获取列出的每个“日期”的观察结果。不过，我有 3932 条观察结果，并希望获得以下摘要：

观察次数最多的日期及其百分比
“最近”类别的观察百分比

我尝试过： *

> count(FoodFacilityInspections$DateRecent) Error in UseMethod("count")
> :    no applicable method for 'count' applied to an object of class
> "factor"

【问题讨论】：

标签： r dataframe date percentage summary

【解决方案1】：

一个更新的解决方案，其中包含基于您的数据的总计、百分比和累积百分比表。

library(data.table)

data<-data.frame("ScoreRecent"=c(100,100,100,100,100,100,100,100,100),
                 "DateRecent"=c("7/23/2021", "7/8/2021","5/25/2021","5/19/2021","5/20/2021","5/13/2021","5/17/2021","5/18/2021","5/18/2021"),
                 "Facility_Type_Description"=c("Retail Food Stores", "Retail Food Stores","Food Service Establishment","Food Service Establishment","Food Service Establishment","Food Service Establishment","Food Service Establishment","Food Service Establishment","Food Service Establishment"),
                 "Premise_zip"=c(40207,40207,40207,40206,40207,40206,40207,40206,40206),
                 "Opening_Date"=c("6/27/1988","6/29/1988","10/20/2009","2/28/1989","10/20/2009","10/20/2009","10/20/2009","10/20/2009", "10/20/2009"))


tab <- function(dataset, var){
  
  dataset %>%
    group_by({{var}}) %>% 
    summarise(n=n()) %>%
    mutate(total = cumsum(n),
           percent = n / sum(n) * 100,
           cumulativepercent = cumsum(n / sum(n) * 100))
  
}

tab(data, Facility_Type_Description)

 Facility_Type_Description      n total percent cumulativepercent
  <chr>                      <int> <int>   <dbl>             <dbl>
1 Food Service Establishment     7     7    77.8              77.8
2 Retail Food Stores             2     9    22.2             100

【讨论】：

【解决方案2】：

在within 中使用table 和proportions 的单行代码。

within(as.data.frame.table(with(mtcars, table(cyl))), Pc <- proportions(Freq)*100)
#   cyl Freq     Pc
# 1   4   11 34.375
# 2   6    7 21.875
# 3   8   14 43.750

【讨论】：

【解决方案3】：

您可以使用表格功能找出出现次数最多的日期。然后您可以遍历表中的每个项目（在您的情况下为日期）并将其除以这样的总行数（也使用 mtcars 数据集）：

table(mtcars$cyl)

percent <- c()
for (i in 1:length(table(mtcars$cyl))){
    percent[i] <- table(mtcars$cyl)[i]/nrow(mtcars) * 100
}
output <- cbind(table(mtcars$cyl), percent)
output

     percent
4 11  34.375
6  7  21.875
8 14  43.750

【讨论】：

【解决方案4】：

使用内置数据，因为您没有提供示例数据

library(data.table)
dtcars <- data.table(mtcars, keep.rownames = TRUE)

解决方案

dtcars[, .("count"=.N, "percent"=.N/dtcars[, .N]*100), 
       by=cyl]

【讨论】：