如何解决使用 Mutate() 在 R 中创建返回 NA 的月、日和年列
数据样本:
Agreement Ext.descr. Description of agreement Valid From Valid To
1001015314 254819 FWIN-HOFPA-AEP/AMERICAN ELECTRIC POWER 12/31/2020 12/31/2021
1001009372 2552652 MULTI-TBCPE-STOREROOM SOLUTIONS/SYNOVOS 12/31/2020 12/31/2021
1001026488 2553601 MULTI-ABB MVD/LP/LVD/DRC/SENATOBIA 12/31/2020 12/31/2021
1001017623 2553659 D31-GRAYBAR CONTRACTOR 12/31/2020 12/31/2021
1001004469 2553784 D31-GRAYBAR CONTRACTOR BLANKET 12/31/2020 12/31/2021
1001013206 2553786 D31-BUIST BLANKET-GRAYBAR ELECTRIC 12/31/2020 12/31/2021
1001003012 2553790 GRMI-ALLIED ELECTRIC BLANKET- GRAYB 12/31/2020 12/31/2021
1001003264 2553792 D31-GRAYBAR INDUSTRIAL BLANKET / NE 12/31/2020 12/31/2021
1001002666 2554099 D31-INGREDION - 20AR03 12/31/2020 12/31/2021
1001020806 255420 DAIA-HOFPA-MIDAMERICAN ENERGY 12/18/2020 12/31/2021
1001020461 2554587 GHIL-HELUKABEL LUG PROJECT 12/31/2020 12/31/2021
1001003015 2554595 GHIL-CHARLES INDUSTRIES 12/31/2020 12/31/2021
1001023615 255858 HAIN-HOFPA-PANDUIT 12/31/2020 12/31/2021
1001007084 2567168 ININ-SOUTH BEND SOLAR PROJECT 12/31/2020 12/31/2021
1001007283 2567336 GHIL-CDW/MONRO CARLON PROJECT 12/31/2020 12/31/2021
1001010247 2571407 GRMI-BLACK RIVER FLATS 12/31/2020 12/31/2021
1001010939 2572288 ININ-CRANE NAVAL BASE 12/31/2020 12/31/2021
1001021887 2574755 LAMI-MCLAREN LANSING 12/31/2020 12/31/2021
1001029671 2594599 ININ-MALLOR BUILDING 12/31/2020 12/31/2021
1001029673 2594598 NATL-BUNPA AGR 12/31/2020 12/31/2021
1001029673 2594598 MIWI-NATL-SQDPA 12/31/2020 12/31/2021
加载您的库
library(tidyverse)
library(readxl)
library(plyr)
library(dplyr)
library(lubridate)
library(rebus)
library(stringi)
找到你的工作目录
getwd()
设置你的工作目录
setwd('C:/Users/mcgilas/Desktop')
导入excel文件
Sales_Offices <- read.csv("All Sales Offices.csv",head(T))
Sales_Offices
District_31 <- read.csv("District 31.csv",head(T))
District_31
将 D31 csv 合并到销售办公室 csv
merged <- Sales_Offices %>%
full_join(District_31)
view(merged)
过滤掉 ZCRJ 行
merged %>%
filter(!ATyp %in% c("ZCRJ")) -> merged
在供应商名称中过滤掉 SCHNEIDER ELECTRIC USA INC
merged %>%
filter(!Name %in% c("SCHNEIDER ELECTRIC USA INC")) -> merged
view(merged)
显示您的列名
colnames(merged)
删除不需要的列
merged[,c("Pri.Vendo","OwnRole","Time","DChl","On","Part..Role","Chgd.By","Dv","Chngd.On","Partner","TimChng","Crcy","Crtd.By","SOrg.")] <- list(NULL)
view(merged)
出于视觉目的重命名列名
colnames(merged)[colnames(merged) == 'Name'] <- 'Vendor'
colnames(merged)[colnames(merged) == 'Name.1'] <- 'Name'
view(merged)
class(merged$Valid.From)
class(merged$Valid.To)
[1]“日期” [1]“日期”
merged <- merged %>% mutate(Year = year(Valid.From),Month = month(Valid.From),Day = day(Valid.From))
view(merged)
我在我的新年、月和日列以及我原来的 Valid.From 和 Valid.To 列中获得了所有 NA。
解决方法
您尚未指定年、月和日的格式。检查 lubridate 中的格式
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