This the sample of the dataframe I'm playing with.
structure(list(Company.Name = c("Ample Softech System", "Ziff Davis LLC",
"IIM Kozhikkode", "Perennial", "Irupar Sociedad Cooperativa",
"md", ""), Job.Title = c("Data Analyst", "Data Analyst", "Data Analyst",
"Data Analyst", "Data Analyst", "Data Analyst", "Data Analyst"
), Salaries.Reported = c(1L, 1L, 1L, 1L, 1L, 1L, 1L), Location = c("Pune",
"Pune", "Pune", "Pune", "Pune", "Pune", "Pune"), Salary = c("₹35,563/mo",
"₹5,21,474/yr", "₹7,64,702/yr", "₹16,123/mo", "₹6,04,401/yr",
"AFN 1,56,179/yr", "₹23,500/mo")), row.names = 2274:2280, class = "data.frame")
The column Salary contains figures in a pattern of (Currency_symbol+Figure+periodicity) eg:₹35,563/mo
I have been trying to separate the pattern into different columns. I used the following code.
smpl = separate(sample, col = Salary, into = c( "Currency_symbol", "Salary_copy"), sep = 1, remove = TRUE, convert = TRUE) #separates currency_symbol into separate column
smpl
smpl2 = separate(smpl, col = Salary_copy, into = c('Salary_copy', 'Periodicity'), sep = -3, remove = TRUE, convert = TRUE) # separates periodicity to separate column
smpl2
The issue I'm facing is that one row contains 3 characters as Currency-symbol (AFN), while others are single characters.
So these particular lines of code mentioned above are not able to separate the pattern into respective columns for that particular row.
If I change the index of sep argument of the code, all other rows will be affected. How can I solve this particular issue?
Another solution using extract
and a simpler regex. An additional step trims whitespace and removes the commas from the salary amounts.
df2 <- df %>%
extract(Salary, c('currency', 'amount', 'period'), '^(\\D+)([0-9,]+)/(.*)') %>%
mutate(
currency = gsub(' ', '', currency),
amount = as.numeric(gsub(',', '', amount))
)
Company.Name Job.Title Salaries.Reported Location currency amount period
2274 Ample Softech System Data Analyst 1 Pune ₹ 35563 mo
2275 Ziff Davis LLC Data Analyst 1 Pune ₹ 521474 yr
2276 IIM Kozhikkode Data Analyst 1 Pune ₹ 764702 yr
2277 Perennial Data Analyst 1 Pune ₹ 16123 mo
2278 Irupar Sociedad Cooperativa Data Analyst 1 Pune ₹ 604401 yr
2279 md Data Analyst 1 Pune AFN 156179 yr
2280 Data Analyst 1 Pune ₹ 23500 mo