我正在尝试在R中加载一个包含两个日期列和一个国家/地区列的Excel文件。你能告诉我如何将文件读入R？
数据结构：
Actual_Shipment_Date Expected_Shipment_Date Country No_of_Days_Deviated
01-03-2016 07-03-2016 USA
22-12-2016 05-01-2017 UK
20-11-2016 10-11-2016 INDIA
12-02-2017 22-02-2017 HUNGARY
14-07-2016 15-07-2016 EGYPT
25-09-2016 30-09-2016 CHINA
28-11-2016 31-12-2016 JAPAN
08-05-2016 17-05-2016 AUSTRALIA
11-04-2016 14-09-2016 RUSSIA
22-03-2016 25-06-2016 BRAZIL
24-09-2016 22-04-2016 MEXICO
07-07-2016 07-11-2016 FRANCE
08-11-2016 05-04-2016 GREECE
17-11-2016 10-01-2017 SPAIN
01-12-2016 01-01-2017 SINGAPORE
07-01-2017 22-12-2016 POLAND
11-12-2016 13-12-2016 CHILE
09-09-2016 10-10-2016 AFGANISTAN
08-05-2016 25-07-2016 TAIWAN
26-07-2016 05-08-2016 CANADA
答案 0 :(得分：1)
要直接从xlsx文件中读取表格，您可以使用readxl包。
read_excel函数会自动猜测您的日期时间列。
如果您的数据位于文件的第一张表格中：
library(readxl)
Tab <- read_excel("path/to/file.xlsx", sheet = 1)
Tab
#> Actual_Shipment_Date Expected_Shipment_Date Country
#> 1 2016-03-01 2016-03-07 USA
#> 2 2016-12-22 2017-01-05 UK
#> 3 2016-11-20 2016-11-10 INDIA
#> 4 2017-02-12 2017-02-22 HUNGARY
#> 5 2016-07-14 2016-07-15 EGYPT
#> 6 2016-09-25 2016-09-30 CHINA
#> 7 2016-11-28 2016-12-31 JAPAN
#> 8 2016-05-08 2016-05-17 AUSTRALIA
#> 9 2016-04-11 2016-09-14 RUSSIA
#> 10 2016-03-22 2016-06-25 BRAZIL
#> 11 2016-09-24 2016-04-22 MEXICO
#> 12 2016-07-07 2016-11-07 FRANCE
#> 13 2016-11-08 2016-04-05 GREECE
#> 14 2016-11-17 2017-01-10 SPAIN
#> 15 2016-12-01 2017-01-01 SINGAPORE
#> 16 2017-01-07 2016-12-22 POLAND
#> 17 2016-12-11 2016-12-13 CHILE
#> 18 2016-09-09 2016-10-10 AFGANISTAN
#> 19 2016-05-08 2016-07-25 TAIWAN
#> 20 2016-07-26 2016-08-05 CANADA
日期列会根据需要转换为Posixct
str(Tab)
#> Classes 'tbl_df', 'tbl' and 'data.frame': 20 obs. of 3 variables:
#> $ Actual_Shipment_Date : POSIXct, format: "2016-03-01" "2016-12-22" ...
#> $ Expected_Shipment_Date: POSIXct, format: "2016-03-07" "2017-01-05" ...
#> $ Country : chr "USA" "UK" "INDIA" "HUNGARY" ...
readxl适用于dplyr和tibbles，因为它会返回tbl_df。