我有一个数据框headcount.df，如下所示：
Classes ‘data.table’ and 'data.frame': 2762 obs. of 7 variables:
$ Worker ID : chr "1693" "1812" "1822" "1695" ...
$ Job Posting Title: chr "Accountant" "Business Analyst I" "Finance Analyst II" "Business Analyst V" ...
$ State/Province : chr "Texas" "Michigan" "Heredia" "California" ...
$ Country : chr "USA" "USA" "CRI" "USA" ...
$ Worker Start Date: POSIXct, format: "2016-05-01" "2016-05-01" "2016-05-01" "2016-05-01" ...
$ Worker End Date : POSIXct, format: "2017-04-30" "2017-04-30" "2017-04-30" "2017-04-30" ...
$ Labor Type : chr "Business Professional" "Business Professional" "Business Professional" "Business Professional" ...
作为注释，这里可能有重复的记录
我可以使用下面的ggplot创建一个图表
x <- "2017-03-03"
y <- "2017-10-31"
headcountbar <- headcount1.df %>%
filter(`Worker Start Date`>=x & `Worker End Date`<=y) %>%
group_by(`State/Province`) %>%
summarise(Headcount = n_distinct(Worker))
ggplot(data = headcountbar, aes(x=`State/Province`,y = Headcount, fill = `State/Province` )) +
geom_bar(stat="identity",position = position_dodge())
上面的代码只给了我两个日期之间的 Worker 人数，我希望能够按月/季度分解 .
我想使用shinydashboard来使这个更具交互性，我可以选择x轴，以便按时间范围显示人数或按人工类型显示人数 .
我知道这里有很多，所以非常感谢任何指导 .