Reads the data from a AIRMO Webexport CSV file and returns it as a data frame in rOstluft long format
Usage
read_airmo_webexport(
fn,
encoding = "latin1",
tz = "Etc/GMT-1",
time_shift = NULL,
na.rm = TRUE
)Arguments
- fn
CSV file name, can be relative to current directory or absolut
- encoding
CSV file encoding. Default "latin1"
- tz
time zone of date field. Be carefull Etc/GMT + == -. Default "Etc/GMT-1"
- time_shift
a lubridate period to add to the time. Default NULL
- na.rm
remove na (empty) values. Default TRUE
See also
lubridate::period() - Create or parse period objects
base::timezones - Information about time zones in R
Examples
input <- rOstluft.data::f("ol_nox_covid19_2020.csv")
read_airmo_webexport(input)
#> # A tibble: 60,916 × 6
#> starttime site parameter interval unit value
#> <dttm> <fct> <fct> <fct> <fct> <dbl>
#> 1 2020-01-01 00:00:00 Opf_Balsberg NOx min30 ppb 20.0
#> 2 2020-01-01 00:30:00 Opf_Balsberg NOx min30 ppb 21.5
#> 3 2020-01-01 01:00:00 Opf_Balsberg NOx min30 ppb 26.1
#> 4 2020-01-01 01:30:00 Opf_Balsberg NOx min30 ppb 21.5
#> 5 2020-01-01 02:00:00 Opf_Balsberg NOx min30 ppb 27.3
#> 6 2020-01-01 02:30:00 Opf_Balsberg NOx min30 ppb 19.9
#> 7 2020-01-01 03:00:00 Opf_Balsberg NOx min30 ppb 17.7
#> 8 2020-01-01 03:30:00 Opf_Balsberg NOx min30 ppb 17.9
#> 9 2020-01-01 04:00:00 Opf_Balsberg NOx min30 ppb 19.7
#> 10 2020-01-01 04:30:00 Opf_Balsberg NOx min30 ppb 23.2
#> # ℹ 60,906 more rows