Created
September 15, 2018 10:08
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Tidy a spreadsheet of the Luxembourg Time Use Survey with experimental unpivotr branch
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# Inspired by http://www.brodrigues.co/blog/2018-09-11-human_to_machine/ | |
# https://twitter.com/brodriguesco/status/1039604517287931904 | |
# "You can find the data I will use here. Click on the “Time use” folder and you can download the workbook." | |
# http://statistiques.public.lu/stat/ReportFolders/ReportFolder.aspx?IF_Language=eng&MainTheme=3&FldrName=1&RFPath=14306 | |
# This time using experimental unpivotr code to allow custom filtering of header cells, rather than having to reposition them. | |
# https://github.com/nacnudus/unpivotr/commit/0961ec3c3e17b34755f0fce94db7f5bf380d43ce | |
library(tidyverse) | |
library(tidyxl) | |
library(unpivotr) | |
library(lubridate) | |
path <- "./download.xlsx" | |
formats <- xlsx_formats(path) | |
cells <- | |
path %>% | |
xlsx_cells() %>% | |
# Drop French and Index sheets | |
dplyr::filter(str_detect(sheet, "day$")) %>% | |
# Clean character values | |
mutate(character = str_trim(character)) %>% | |
# Drop empty cells | |
dplyr::filter(data_type != "blank", | |
!(data_type == "character" && character == "")) %>% | |
# Drop total rows | |
dplyr::filter(row <= 58L) %>% | |
# Fix time values expressed as dates rather than character | |
mutate(character = if_else(data_type == "date", "00:00", character), | |
data_type = if_else(data_type == "date", "character", data_type)) | |
is_bold <- function(cells, formats) { | |
formats$local$font$bold[cells$local_format_id] | |
} | |
# Tidy every sheet | |
tidy_sheet <- function(cells) { | |
series <- dplyr::filter(cells, row == 1L, col == 1L)$character | |
cells %>% | |
dplyr::filter(row >= 2L) %>% | |
behead("WNW", "activity_category_id", | |
header_filter = is_bold, .args = list(formats = formats)) %>% | |
behead("W", "activity_subcategory_id") %>% | |
behead("WNW", "activity_category", | |
header_filter = is_bold, .args = list(formats = formats)) %>% | |
behead("W", "activity_subcategory") %>% | |
behead("NNW", "grouping") %>% | |
behead("NNW", "group") %>% | |
behead("NNW", "metric") %>% | |
behead("N", "unit") %>% | |
select(-row, -col, -local_format_id) %>% | |
spatter(unit) %>% # like tidyr::spread() by handles mixed data types | |
mutate(Time = as.integer(as.duration(lubridate::hm(Time)))) | |
} | |
tidy_data <- | |
cells %>% | |
select(sheet, row, col, data_type, character, numeric, local_format_id) %>% | |
nest(-sheet) %>% | |
mutate(data = map(data, tidy_sheet)) %>% | |
unnest() | |
tidy_data |
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