Import your data

# csv file
jobs_gender <- readr::read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2019/2019-03-05/jobs_gender.csv")

Chapter 14

Tools

Detect matches

jobs_gender$occupation %>% glimpse()
##  chr [1:2088] "Chief executives" "General and operations managers" ...
str_detect(jobs_gender$occupation, "Computer programmers")
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sum(str_detect(jobs_gender$occupation, "Computer programmers"))
## [1] 4
jobs_gender %>%
    summarise(num_Computerprogrammers = sum(str_detect(occupation, "Computer programmers")))
## # A tibble: 1 × 1
##   num_Computerprogrammers
##                     <int>
## 1                       4

Extract matches

jobs_gender %>%
    mutate(col_computerprogrammers = str_extract(occupation, "Computer programmers")) %>% 
    select(occupation, col_computerprogrammers) %>%
    filter(!is.na(col_computerprogrammers))
## # A tibble: 4 × 2
##   occupation           col_computerprogrammers
##   <chr>                <chr>                  
## 1 Computer programmers Computer programmers   
## 2 Computer programmers Computer programmers   
## 3 Computer programmers Computer programmers   
## 4 Computer programmers Computer programmers

Replacing matches

jobs_gender %>%
   mutate(col_ComputerProgramming = str_replace(occupation, "Computer programmers", "Computer Programming")) %>%
    select(occupation, col_ComputerProgramming)
## # A tibble: 2,088 × 2
##    occupation                                col_ComputerProgramming            
##    <chr>                                     <chr>                              
##  1 Chief executives                          Chief executives                   
##  2 General and operations managers           General and operations managers    
##  3 Legislators                               Legislators                        
##  4 Advertising and promotions managers       Advertising and promotions managers
##  5 Marketing and sales managers              Marketing and sales managers       
##  6 Public relations and fundraising managers Public relations and fundraising m…
##  7 Administrative services managers          Administrative services managers   
##  8 Computer and information systems managers Computer and information systems m…
##  9 Financial managers                        Financial managers                 
## 10 Compensation and benefits managers        Compensation and benefits managers 
## # … with 2,078 more rows