{"id":17703326,"url":"https://github.com/lross2k/investigacion-suelos","last_synced_at":"2025-03-31T03:47:23.564Z","repository":{"id":157047610,"uuid":"606304955","full_name":"lross2k/investigacion-suelos","owner":"lross2k","description":"Trabajo de investigación en suelos, manejo de datos mediante el lenguaje 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Soil data processing\n\nScripts for data processing of multiple `.xlsx` files\n\n# Simple usage example\n\n## Data preparation\n\nNeed `csv` files with columns named FECHA, HORA, MINUTO, Lluvia, TemperaturaAmbiente, \nHumedadRelativa and it's very important that the date column follows the format \nmm/dd/yyyy identified as %d/%m/%Y within Rlang\n\n```csv\n     FECHA,   HORA,   MINUTO,   Lluvia\n12/20/1929,      0,        0,        0\n12/21/1929,      4,       16,        0\n12/22/1929,      8,        4,    0.420\n```\n\n```csv\n     FECHA,   HORA,   MINUTO,   TemperaturaAmbiente,   HumedadRelativa\n09/29/2029,      1,        2,                  15.1,                 0\n09/30/2029,      3,       32,                51.420,                11\n09/31/2029,      0,       38,                  14.9,                69 \n```\n\n## Script running\n\nDrop a `.csv` file called `CLEAN_DATA.csv` into the corresonding directory, which can be either \n`LLUVIA`, `SOIL` or `METEOROLOGICO` according to the data that needs to be grouped in the file\n\nThen use the scripts `gen_lluvia.R`, `gen_soil.R` or `gen_meteor.R` according to the directory \nin which the data was dropped, running this scripts on \\*nix systems will be as easy as follows \n\n```sh\n./gen_lluvia.R\n./gen_soil.R\n./gen_meteor.R\n```\n\nIf R is not correctly installed in your system or it's being ran under Windows, then use the \nfollowing format\n\n```sh\nRscript gen_lluvia.R\nRscript gen_soil.R\nRscript gen_meteor.R\n```\n\n## Other scripts\n\nIn this repository also reside the files `con_hora.R` and `base.R`, however I don't remember \nhow to use this files because I wrote no documentation\n\n# Naming scheme\n\nGoogle style guide for R shall be used\n\n# Programming environments\n\n- RStudio IDE\n- VSCode or VSCodium\n\nThese have been tested on the platforms Debian GNU/Linux, Windows 11 and Windows 10\n\n# TODO\n\n- Create a script that removes the repetitive process of `conteo-csv.R`\n- Apply Google style to all existent scripts in the repo\n- Remember how and why to use `base.R` and `con_hora.R`\n- Write actual documentation for the whole repo, this documentationless life can't go on for much longer\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flross2k%2Finvestigacion-suelos","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flross2k%2Finvestigacion-suelos","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flross2k%2Finvestigacion-suelos/lists"}