# check counts per well generation
if (FALSE) {
frequency_table(ifelse(is.na(df_wells$well_id_replaced), 1, 2)) # count well generation
df_quality_agg_long <- df_quality_agg %>%
tidyr::pivot_longer(cols = -1, names_to = "quality.parameter", values_to = "quality.value") %>%
dplyr::left_join(lookup_par_unit)
}
# non binary split of Qs_rel
if (FALSE) {
df$Qs_rel_cat <- cut(df$Qs_rel,
breaks = c(-Inf, 1/3 * 100, 2/3 * 100, Inf),
labels = c("1-low","2-middle","3-high"))
}
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