I have a large tabular data set (csv) which I set as my working directory.
dir()
setwd("~/Desktop/folder with data.csv file")
dir()
(1) data.csv
dataframe <- read.csv('data.csv')
dataframe <- read.csv('data.csv',header=TRUE)
dataframe <- read.csv('data.csv',header=TRUE, as.is=TRUE, sep=',')
It has over 20 columns, 2000 rows, and plenty of na values.
One subset I created is of the column that lists the "primary role" (job) for the 3000+ people. This is is because I want to later filter for specific job roles, and let R count how many instances there are.
roles_df <- (data$column)
I removed all na values using na.omit and have a subset of Factors w/ 1076 values.
no_na_df <- na.omit(job_df)
job_no_na_df <- na.omit(job_df)
When I now try to use view to see the data, I get the following error: "could not find function "view""
What can I do to fix this error? I want to inspect the data in the column as I then want to filter out specific words.
I have the following packages loaded:
library(tidyr)
library(dplyr)
library(tinyverse)
I have tried to view the data via
view(job_no_na_df)
And then get: Error in view(job_no_na_df) : could not find function "view"
I have also tried
view(data$job)
this returns the error:
Error in view(data$job) :
could not find function "view"
The function is View(), with a capital V.