导入的 csv 文件在 R studio 中保持平坦 table

Question

我有一个 CSV 文件，格式如下：

"Timestamp,Data,Quality"
"04/10/21 11:00:00,0.000000,0"
"04/10/21 11:02:00,0.014652,1"
"04/10/21 11:03:00,0.009768,1"
"04/10/21 11:04:00,0.014652,1"
    .
    .
    .

为了将其导入 R，并将其转换为数据框，这就是我所做的。

library('tidyverse')
library('ggplot2')
library(dplyr)

mydata<-read.csv('C:/Users/tesge/Desktop/tnc results/syabas hydrotest/output/rev1/1/D2104100-3.csv', header = TRUE, sep = ",", stringAsFactors = FALSE) 

mydata

但是我得到的输出仍然不是正确的 table 格式，在单独的 3 列中。结果：

> head(mydata)
     ï..Timestamp.Data.Quality
1 04/10/21 11:00:00,0.000000,0
2 04/10/21 11:02:00,0.014652,1
3 04/10/21 11:03:00,0.009768,1
4 04/10/21 11:04:00,0.014652,1
5 04/10/21 11:05:00,0.009768,1
6 04/10/21 11:07:00,0.000000,0

我不确定为什么第一列 header 那里有奇怪的字符。新来的。请赐教。提前致谢。 Link 到 csv 文件： https://www.dropbox.com/s/jim1ryaq2azulqg/D2104100-3.csv?dl=0

Answer 1

所有行都用引号引起来。删除它们，它应该可以工作。

在 CSV 中，引号用于分隔包含逗号的列，这意味着您的 CSV 实际上只包含一列。

Answer 2

library(tidyverse)
library(lubridate)

read_csv("D2104100-3.csv") %>%
  separate(
    col = 1,
    into = c("Timestamp", "Data", "Quality"),
    sep = ","
  ) %>%
  mutate(Timestamp = dmy_hms(Timestamp),
         Data = as.numeric(Data),
         Quality = as.integer(Quality))
#> 
#> -- Column specification --------------------------------------------------------
#> cols(
#>   `Timestamp,Data,Quality` = col_character()
#> )
#> # A tibble: 1,466 x 3
#>    Timestamp              Data Quality
#>    <dttm>                <dbl>   <int>
#>  1 2021-10-04 11:00:00 0             0
#>  2 2021-10-04 11:02:00 0.0147        1
#>  3 2021-10-04 11:03:00 0.00977       1
#>  4 2021-10-04 11:04:00 0.0147        1
#>  5 2021-10-04 11:05:00 0.00977       1
#>  6 2021-10-04 11:07:00 0             0
#>  7 2021-10-04 11:08:00 0.00977       1
#>  8 2021-10-04 11:14:00 0.0147        1
#>  9 2021-10-04 11:16:00 0.00977       1
#> 10 2021-10-04 11:22:00 0.00488       1
#> # ... with 1,456 more rows

导入的 csv 文件在 R studio 中保持平坦 table

Imported csv file remains a flat table in R studio

csv

r

dataframe

read.csv