Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

RMHDR-246 Add age de-identification step #24

Merged
merged 1 commit into from
Feb 29, 2024
Merged

RMHDR-246 Add age de-identification step #24

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 5 additions & 2 deletions filtering.R
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,7 +1,8 @@
# Functions ---------------------------------------------------------------
#' Calculate age from Date of Birth
#'
#' This function calculates the age of individuals based on their date of birth.
#' This function calculates the age of individuals based on their date of
#' birth and replaces ages above 89 with the string "90+".
#'
#' @param dataset The name of the dataset to process.
#' @param column The name of the column in the dataset that contains Date of Birth (DoB) information.
Expand All @@ -18,6 +19,8 @@ dob2age <- function(dataset, column, input = AWS_PARQUET_DOWNLOAD_LOCATION, part

arrow::open_dataset(sources = input_path) %>%
dplyr::mutate(age = lubridate::year(lubridate::today())-lubridate::year(lubridate::as_date(!!sym(column)))) %>%
dplyr::collect() %>%
dplyr::mutate(age = ifelse(age>89, "90+", age)) %>%
arrow::write_dataset(path = input_path,
max_rows_per_file = 100000,
partitioning = partitions,
Expand Down Expand Up @@ -75,7 +78,7 @@ cols_to_drop <- lapply(datasets_to_filter, function(x) {

tmp <-
lapply(seq_along(datasets_to_filter), function(i) {
cat(i, "Dropping", cols_to_drop[[i]], "from", datasets_to_filter[[i]], "\n")
cat(i, "Dropping", cols_to_drop[[i]], "from", datasets_to_filter[[i]], "\n\n")
drop_cols_datasets(dataset = datasets_to_filter[[i]],
columns = cols_to_drop[[i]],
input = AWS_PARQUET_DOWNLOAD_LOCATION,
Expand Down
Loading