``` {r libraries, include = FALSE} library(tibble) library(tidyr) library(readr) library(purrr) library(dplyr) library(stringr) library(forcats) library(tidyr) library(readxl) library(lubridate)

``` {r variables, echo = FALSE, include = FALSE}
setwd("../data")
path <- params$source_filename
sheet_names <- readxl::excel_sheets(path = path)
variables <- 
  map(.x = sheet_names,
      .f = function(x) {
        readxl::read_xlsx(path = path, sheet = x)
      }) %>% 
  purrr::set_names(sheet_names)

variables$Experience <- 
  variables$Experience %>% 
  arrange(desc(To))

full_name <- variables$Contact %>% filter(Field == "Full Name") %>% pull(Value)
email <- variables$Contact %>% filter(Field == "Email") %>% pull(Value)
phone <- variables$Contact %>% filter(Field == "Phone Number") %>% pull(Value)
github_name <- variables$Contact %>% filter(Field == "Github") %>% pull(Value)
github_link <- paste("https:://", github_name)
linkedin_name <- variables$Contact %>% filter(Field == "LinkedIn") %>% pull(Value)
linkedin_link <- paste("https:://", linkedin_name)
blurb <- variables$Additional %>% filter(Field == "Overview") %>% pull(Value)
skills_descriptors <-
  if (nrow(variables$Skills > 0)) {
    pmap(
      .l = list(
        x = variables$Skills$Skill,
        y = variables$Skills$Description
      ),
      .f = function(x, y) {
        paste0("- **", x, "** - ", y, "\n\n")
      }
    ) %>%
      unlist() %>% 
      paste(collapse = "")
  } else {
    NA
  }

skills_noDescriptors <- 
  if (nrow(variables$Skills > 0)) {
    pmap(
      .l = list(
        x = variables$Skills$Skill
      ),
      .f = function(x, y) {
        paste0("- **", x, "**\n\n")
      }
    ) %>%
      unlist() %>% 
      paste(collapse = "")
  } else {
    NA
  }

education <- 
  pmap(.l = 
       list(name = variables$Education$Name,
            degree = variables$Education$Degree,
            minor = variables$Education$Minor,
            where = variables$Education$Where,
            grad = variables$Education$`Graduation Date`),
     .f = function(name, degree, minor, where, grad) {
       paste(
         paste0("### ", name),
         degree,
         where,
         paste0("Grad Date:", ymd(grad) %>% format.Date(format = "%b '%y")),
         if(!is.na(minor)){paste0("Minored in ", minor)},
         sep = "\n\n"
         )
     }) %>% 
  unlist() %>% 
  paste0(collapse = "") 

professional <- 
  pmap(.l = 
         list(title = variables$Experience$Title,
              company = variables$Experience$Company,
              where = variables$Experience$Where,
              from = variables$Experience$From,
              to = variables$Experience$To,
              bp1 = variables$Experience$`Bullet Point 1`,
              bp2 = variables$Experience$`Bullet Point 2`,
              bp3 = variables$Experience$`Bullet Point 3`,
              bp4 = variables$Experience$`Bullet Point 4`,
              bp5 = variables$Experience$`Bullet Point 5`,
              bp6 = variables$Experience$`Bullet Point 6`),
       .f = function(title, company, where, from, to, bp1, bp2, bp3, bp4, bp5, bp6){
         paste(
           paste0("### ", title),
           company,
           where,
           paste(
             year(from), 
             year(to), 
             sep = " - "),
           paste0(
             "::: consice\n",
             paste0("- ", bp1, "\n"),
             if(!is.na(bp2)){paste0("- ", bp2, "\n")},
             if(!is.na(bp3)){paste0("- ", bp3, "\n")},
             if(!is.na(bp4)){paste0("- ", bp4, "\n")},
             if(!is.na(bp5)){paste0("- ", bp5, "\n")},
             if(!is.na(bp6)){paste0("- ", bp6, "\n")},
             ":::\n\n"),
           sep = "\n\n")
       }) %>% 
  unlist() %>% 
  paste(collapse = "")

Aside

Contact Info {#contact}

Skills {#skills}

r if(params$skill_descriptors == TRUE){skills_descriptors}else{skills_noDescriptors}

Main

r full_name {#title}

r blurb

Education {data-icon=graduation-cap data-concise=true}

r education

Professional Experience {data-icon=suitcase}

r professional



esurjaat/ResumeBuilder documentation built on April 11, 2022, 1:20 a.m.