#' Individual choices about careers
#'
#' Create a data set of individual choices about careers at different points in time
#'
#' @return dataset
#' @export
#'
## library(techbios)
## data("experience")
## data("person")
## data("id_list")
## data("education")
## GRADS <- inner_join(person, education, by = c("PersonId" = "PersonID")) %>%
## filter(SchoolId %in% id_list$stanford_id,
## MajorId %in% id_list$cs_id,
## DegreeId %in% id_list$phd_id,
## Ongoing == 0)
## career_choices <- GRADS %>%
## select(PersonId, GraduationYear = EndYear) %>%
## left_join(experience, by = c("PersonId" = "PersonID")) %>%
## inner_join(person, by = c("PersonId" = "PersonId")) %>%
## mutate(
## FullName = stri_c(Name, Surname, sep = " "),
## Engineer = ifelse(TitleID %in% id_list$founder_id, 1, 0),
## Founder = ifelse(TitleID %in% id_list$engineer_id, 1, 0)
## )
StanfordCSPhDGradsCareerChoices <- function() {
data("experience")
data("person")
data("id_list")
data("education")
GRADS <- inner_join(person, education, by = c("PersonId" = "PersonID")) %>%
filter(SchoolId %in% id_list$stanford_id,
MajorId %in% id_list$cs_id,
DegreeId %in% id_list$phd_id,
Ongoing == 0)
career_choices <- GRADS %>%
select(PersonId, GraduationYear = EndYear) %>%
left_join(experience, by = c("PersonId" = "PersonID")) %>%
inner_join(person, by = c("PersonId" = "PersonId")) %>%
mutate(
FullName = stri_c(Name, Surname, sep = " "),
Engineer = ifelse(TitleID %in% id_list$founder_id, 1, 0),
Founder = ifelse(TitleID %in% id_list$engineer_id, 1, 0)
) %>%
distinct() %>%
group_by(PersonId) %>%
arrange(FullName, StartYear, StartMonth) %>%
do({
.person <- .
.person %>%
mutate(
PreviousJobs = 0:(n() - 1),
EntrepreneurialJobs = cumsum(Founder),
EngineerJobs = cumsum(Engineer)
)
}) %>%
select(Engineer,
Founder,
TimeDecisionMade = StartYear,
ClassYear = GraduationYear,
FullName,
PreviousJobs,
EntrepreneurialJobs,
EngineerJobs)
career_choices
}
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