All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
par_origines_td
rename dep_dest
to dep
in order to be consistent with other datasets.vacances
vacance_td
vacances_tsbl()
capacites_tsbl
nuitees_tsbl
tourists_tsbl
par_origines_td
fixed duplicates -> see issue #2.
Fixed by keeping only the last
value.# Before the fix duplicated lines 2 lines for each day between GB and 11.
par_origines_td %>% group_by(date, dep_org, dep_dest) %>% summarise(count = n()) %>% filter(count > 1)
# A tibble: 365 x 4
# Groups: date, dep_org [365]
# date dep_org dep_dest count
# <date> <fct> <fct> <int>
# 1 2018-01-01 GB 11 2
# 2 2018-01-02 GB 11 2
# 3 2018-01-03 GB 11 2
nuitees_td
transformed 0
to NA
.# Before the fix
tdvhackaviz2020::nuitees_td %>%
filter(nuitees == 0) %>%
group_by(date) %>%
summarise(count = n())
# A tibble: 2 x 2
# date count
# <date> <int>
# 1 2018-08-29 13
# 2 2018-12-03 13
par_origines_td
tidy version of par_origines
dataset.dep
are now homogenously represented as factors
in all datasets.capacites_sem_td
weeks are numbers to be consistent with week()
function.capacites
-> capacites_td
and capacites_sem_td
nuitees
-> nuitees_td
dpt
is now dpt_<num dpt>
to be homogeneousAdd the following code to your website.
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