rm(list=ls(all=t))
filename <- "Section_C" # !!!Update filename
functions_vers <- "functions_1.8.R" # !!!Update helper functions file
source (functions_vers)
Visually inspect variables in "dictionary.csv" and flag for risk, using the following flags:
# Direct PII: Respondent Names, Addresses, Identification Numbers, Phone Numbers
# Direct PII-team: Interviewer Names, other field team names
# Indirect PII-ordinal: Date of birth, Age, income, education, household composition.
# Indirect PII-categorical: Gender, education, ethnicity, nationality,
# occupation, employer, head of household, marital status
# GPS: Longitude, Latitude
# Small Location: Location (<100,000)
# Large Location (>100,000)
# Weight: weightVar
# Household ID: hhId,
# Open-ends: Review responses for any sensitive information, redact as necessary
# !!!No Direct PII
# !!!No Direct PII - team
# !!!No Small locations
# !!!No Indirect PII - Ordinal
# !!!No Indirect PII - Categorical
# !!!Insufficient demographic data
# !!! Identify open-end variables here:
open_ends <- c("eh_scq3", "eh_scq5", "eh_scq6")
report_open (list_open_ends = open_ends)
# Review "verbatims.csv". Identify variables to be deleted or redacted and their row number
mydata$eh_scq3[1121] <- "for the 2nd attempt. We've tried to convince the respondent with the SFO ([name]) but she refused again and she said that she didnt need the survey. her gestures showed that she is not interested."
mydata$eh_scq6[115] <- "Interview conducted at her work ([small location])"
mydata$eh_scq6[236] <- "She transferred From [small location] to [small location]"
mydata$eh_scq6[651] <- "[name] is at work no time to be interviewed"
mydata$eh_scq6[1187] <- "Transferred to [small location] (10 months) She is 4 months pregnant to her present partner"
mydata$eh_scq6[1326] <- "Its [name] not [name]"
# !!!No GPS data
haven::write_dta(mydata, paste0(filename, "_PU.dta"))
haven::write_sav(mydata, paste0(filename, "_PU.sav"))
# Add report title dynamically
title_var <- paste0("DOL-ILAB SDC - ", filename)