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A synthetic dataset containing information about job-relevant skills, including skill ratings and inclusion/exclusion flags. For more details, refer to the corresponding template spreadsheet in the repository.

Usage

example_skill_data

Format

A data frame with 113 rows and 14 columns:

category

Name of the category under which to classify the skill (character).

skill

Name of the skill (character).

in_base

Flag indicating whether the skill should be included in the skills section of your base resume, either "x" or NA (character).

include

Flag indicating whether the skill should be included in the skills section of your tailored resume, either "x" or NA (character).

level

Level of proficiency, from 0-5 (float).

core_tools

Flag indicating whether the skill should be included in the "Core tools" section of your CV, either "x" or NA (character).

current_tech

Flag indicating whether the skill should be included in the "Current tech" section of your CV, either "x" or NA (character).

key_competency

Flag indicating whether the skill should be included in the "Key competencies" section of your CV, either "x" or NA (character).

in_stack

Flag indicating whether the skill is in your tech stack, assuming the skill is a tools or technology, either "x" or NA (character).

is_a_tool

Flag indicating whether the skill is a tool or technology, either "x" or NA (character).

in_resume

Logical value indicating whether the skill is mentioned in the body text of your resume; auto-populated (logical).

in_profile

Logical value indicating whether the skill is mentioned in the skills section of your abridged resume; auto-populated (logical).

category_id

Number representing the chronological position in the resume skills section of the category to which the skill belongs; auto-populated (positive integer).

alias

Name of the alias given to the category to which the skill belongs; auto-populated (character).

Source

Generated for demonstration purposes.

Examples

data(example_skill_data)
head(example_skill_data)
#> # A tibble: 6 × 14
#>   category    skill in_base include level core_tools current_tech key_competency
#>   <chr>       <chr> <chr>   <chr>   <dbl> <chr>      <chr>        <chr>         
#> 1 Programmin… R     x       x        3.5  x          NA           NA            
#> 2 Programmin… SQL   x       x        3    x          NA           NA            
#> 3 Programmin… Pyth… x       x        4.25 x          NA           NA            
#> 4 Programmin… MATL… NA      NA       4.5  NA         NA           NA            
#> 5 Programmin… Bash  NA      NA       3    NA         NA           NA            
#> 6 Data Manip… Beau… NA      NA       3    NA         NA           NA            
#> # ℹ 6 more variables: in_stack <chr>, is_a_tool <chr>, in_resume <lgl>,
#> #   in_profile <lgl>, category_id <dbl>, alias <chr>