1 Install R packages
if (! require("remotes")) {
install.packages("remotes", repos = "https://cloud.r-project.org")
}
remotes::install_github("kwb-r/kwb.geosalz", dependencies = TRUE)2 Setup the project
2.1 Define paths
# Define paths and resolve placeholders
paths <- kwb.utils::resolve(list(
servername = Sys.getenv("servername"),
project = "geosalz",
processing_dir = "//<servername>/processing/<project>",
ods_dir = "<processing_dir>/archiv/precleaned-data/emshoff91/converted_ods",
version = "0.9.0",
export_xlsx_name = "emshoff91_v<version>.xlsx",
export_xlsx_dir = "<processing_dir>/archiv/cleaned-data",
export_xlsx_path = "<export_xlsx_dir>/<export_xlsx_name>"
))
#paths <- kwb.utils::resolve(paths, root = "C:/projects")3 Data import
emshoff91_import <- kwb.geosalz::create_emshoff91_import(ods_dir = paths$ods_dir)
emshoff91_list <- kwb.geosalz::read_multiple_emshoff91_ods(emshoff91_import)
emshoff91_df <- kwb.geosalz::emshoff91_list_to_df(emshoff91_list)
emshoff91_df_remapped <- kwb.geosalz::emshoff91_remap_values(emshoff91_df)
emshoff91_df_remapped <- emshoff91_import %>%
dplyr::right_join(
emshoff91_df_remapped,
by = "ods_names_clean"
) %>%
dplyr::mutate(
datum = as.Date(sprintf("19%s",.data$datum), format = "%Y/%m/%d"),
rohr = stringr::str_replace(.data$rohr, "^0", "O"))
messstelle_split <- stringr::str_split_fixed(
emshoff91_df_remapped$messstelle,
pattern = "\\s{1,9}",
n = 3
) %>%
as.data.frame()
names(messstelle_split) <- c("objekt", "bhrgs_nr-jahr", "rohr")
messstelle_split <- messstelle_split %>%
tibble::as_tibble() %>%
tidyr::separate(
col = "bhrgs_nr-jahr",
into = c("bhrgs_nr", "jahr"),
sep = "/",
remove = FALSE
) %>%
dplyr::mutate(
rohr = stringr::str_replace(.data$rohr, "^0", "O"),
ms = kwb.utils::multiSubstitute(
messstelle_split$objekt,
replacements = list(
"GF|F-Gal." = "Gal_F",
"GE|E-Gal" = "Gal_E",
"GI|I-Gal." = "Gal_I",
"GG|G-Gal.|G-Gal" = "Gal_G",
"GK|K-Gal." = "Gal_K",
"^Go$" = "Gal_O",
"GH|H-Gal." = "Gal_H",
"GO" = "Gal_O",
"GL|L-Gal." = "Gal_L",
"GM|M-Gal." = "Gal_M",
",," = ","
)
)
)
messstelle_split2 <- messstelle_split$ms %>%
stringr::str_split_fixed(pattern = ",", n = 2) %>%
as.data.frame()
names(messstelle_split2) <- c("brunnen_galerie", "brunnen_id")
messstelle_split2 <- messstelle_split2 %>%
dplyr::mutate(
brunnen_id = stringr::str_remove(.data$brunnen_id, pattern = "^Br")
)
ms_split <- dplyr::bind_cols(messstelle_split, messstelle_split2)
ms_split
samples_per_moni_id <- emshoff91_df_remapped %>%
dplyr::count(.data$messstelle)
samples_per_moni_id_master <- emshoff91_df_remapped %>%
dplyr::count(
.data$messstelle,
.data$rohr,
.data$fi_mi,
.data$strat,
.data$progr
) 4 Export to Excel
openxlsx::write.xlsx(
list(
samples_per_moni_id = samples_per_moni_id,
samples_per_moni_id_master = samples_per_moni_id_master,
data = emshoff91_df_remapped
),
file = paths$export_xlsx_path,
overwrite = TRUE
)5 Session Info
Plattform
| name | value |
|---|---|
| version | R version 4.4.2 (2024-10-31 ucrt) |
| os | Windows Server 2022 x64 (build 20348) |
| system | x86_64, mingw32 |
| ui | RTerm |
| language | en |
| collate | English_United States.utf8 |
| ctype | English_United States.utf8 |
| tz | UTC |
| date | 2024-11-22 |
| pandoc | 3.1.11 @ C:/HOSTED1/windows/pandoc/31F3871.11/x64/PANDOC~1.11/ (via rmarkdown) |
Packages
#> package * version date (UTC) lib source
#> bslib 0.8.0 2024-07-29 [1] CRAN (R 4.4.1)
#> cachem 1.1.0 2024-05-16 [1] CRAN (R 4.4.0)
#> cli 3.6.3 2024-06-21 [1] RSPM (R 4.4.0)
#> desc 1.4.3 2023-12-10 [1] CRAN (R 4.4.0)
#> digest 0.6.37 2024-08-19 [1] RSPM (R 4.4.0)
#> dplyr * 1.1.4 2023-11-17 [1] CRAN (R 4.4.0)
#> evaluate 1.0.1 2024-10-10 [1] CRAN (R 4.4.1)
#> fansi 1.0.6 2023-12-08 [1] CRAN (R 4.4.0)
#> fastmap 1.2.0 2024-05-15 [1] CRAN (R 4.4.0)
#> fs 1.6.5 2024-10-30 [1] CRAN (R 4.4.1)
#> generics 0.1.3 2022-07-05 [1] CRAN (R 4.4.0)
#> glue 1.8.0 2024-09-30 [1] CRAN (R 4.4.1)
#> htmltools 0.5.8.1 2024-04-04 [1] CRAN (R 4.4.0)
#> htmlwidgets 1.6.4 2023-12-06 [1] CRAN (R 4.4.0)
#> jquerylib 0.1.4 2021-04-26 [1] CRAN (R 4.4.0)
#> jsonlite 1.8.9 2024-09-20 [1] RSPM (R 4.4.0)
#> knitr 1.49 2024-11-08 [1] RSPM (R 4.4.0)
#> kwb.utils 0.15.0 2024-04-25 [1] Github (kwb-r/kwb.utils@4415aa2)
#> lifecycle 1.0.4 2023-11-07 [1] CRAN (R 4.4.0)
#> magrittr 2.0.3 2022-03-30 [1] CRAN (R 4.4.0)
#> pillar 1.9.0 2023-03-22 [1] CRAN (R 4.4.0)
#> pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.4.0)
#> pkgdown 2.1.1 2024-09-17 [1] RSPM (R 4.4.0)
#> purrr 1.0.2 2023-08-10 [1] CRAN (R 4.4.0)
#> R6 2.5.1 2021-08-19 [1] CRAN (R 4.4.0)
#> ragg 1.3.0 2024-03-13 [1] CRAN (R 4.4.0)
#> rlang 1.1.4 2024-06-04 [1] CRAN (R 4.4.0)
#> rmarkdown 2.29 2024-11-04 [1] CRAN (R 4.4.2)
#> sass 0.4.9 2024-03-15 [1] CRAN (R 4.4.0)
#> sessioninfo 1.2.2 2021-12-06 [1] CRAN (R 4.4.0)
#> systemfonts 1.1.0 2024-05-15 [1] CRAN (R 4.4.0)
#> textshaping 0.3.7 2023-10-09 [1] CRAN (R 4.4.0)
#> tibble 3.2.1 2023-03-20 [1] CRAN (R 4.4.0)
#> tidyr * 1.3.1 2024-01-24 [1] CRAN (R 4.4.0)
#> tidyselect 1.2.1 2024-03-11 [1] CRAN (R 4.4.0)
#> utf8 1.2.4 2023-10-22 [1] CRAN (R 4.4.0)
#> vctrs 0.6.5 2023-12-01 [1] CRAN (R 4.4.0)
#> xfun 0.49 2024-10-31 [1] CRAN (R 4.4.1)
#> yaml 2.3.10 2024-07-26 [1] RSPM (R 4.4.0)
#>
#> [1] D:/a/_temp/Library
#> [2] C:/R/library