clean_activities_data <- function(data) {
data %>%
janitor::clean_names() %>%
dplyr::mutate(
inputs = stringr::str_replace_all(inputs, "\r\n", "<br>"),
outputs = stringr::str_replace_all(outputs, "\r\n", "<br>"),
templates = stringr::str_replace_all(templates, "\r\n", "<br>"),
training = stringr::str_replace_all(training, "\r\n", "<br>"),
informed = stringr::str_replace_all(informed, "\r\n", "<br>"),
consulted = stringr::str_replace_all(consulted, "\r\n", "<br>"),
operational_controls = stringr::str_replace_all(operational_controls, "\r\n", "<br>"),
initiatives_to_close_gaps = stringr::str_replace_all(initiatives_to_close_gaps, "\r\n", "<br>"),
core_techniques = stringr::str_replace_all(core_techniques, "\r\n", "<br>"),
additional_techniques = stringr::str_replace_all(additional_techniques, "\r\n", "<br>"),
)
}
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