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February 12, 2022 14:10
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Deal with the terrible doodle format
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library(dplyr) | |
library(tidyr) | |
library(readxl) | |
library(lubridate) | |
# deal with multi-line headers | |
data_head <- readxl::read_excel("Doodle.xls", | |
skip = 3, n_max = 3, | |
col_names = FALSE) | |
for (i in 2:ncol(data_head)) { | |
prev <- data_head[, i-1] | |
this <- data_head[, i] | |
missing <- is.na(this) | |
this[missing, ] <- prev[missing, ] | |
data_head[, i] <- this | |
} | |
new_names <- data_head %>% | |
summarise(across(.fns = paste, collapse = "_")) %>% | |
unlist() %>% unname() %>% | |
c("Name", .) | |
# import data | |
doodle <- readxl::read_excel("Doodle.xls", | |
skip = 6, | |
col_names = new_names) %>% | |
filter(Name != "Count") %>% # remove the Count row | |
pivot_longer(cols = -Name, | |
names_to = c("month", "day", "time"), | |
names_sep = "_", | |
values_to = "decision") %>% | |
separate(time, into = c("starttime", "endtime"), sep = " – ", remove = FALSE) %>% | |
mutate(datetime = lubridate::dmy_hm(paste(day, month, starttime)), | |
# replace blanks with "No" | |
decision = replace_na(decision, "No")) |
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