Soil data processing

Scripts for data processing of multiple .xlsx files

Simple usage example

Data preparation

Need csv files with columns named FECHA, HORA, MINUTO, Lluvia, TemperaturaAmbiente, HumedadRelativa and it's very important that the date column follows the format mm/dd/yyyy identified as %d/%m/%Y within Rlang

     FECHA,   HORA,   MINUTO,   Lluvia
12/20/1929,      0,        0,        0
12/21/1929,      4,       16,        0
12/22/1929,      8,        4,    0.420

     FECHA,   HORA,   MINUTO,   TemperaturaAmbiente,   HumedadRelativa
09/29/2029,      1,        2,                  15.1,                 0
09/30/2029,      3,       32,                51.420,                11
09/31/2029,      0,       38,                  14.9,                69 

Script running

Drop a .csv file called CLEAN_DATA.csv into the corresonding directory, which can be either LLUVIA, SOIL or METEOROLOGICO according to the data that needs to be grouped in the file

Then use the scripts gen_lluvia.R, gen_soil.R or gen_meteor.R according to the directory in which the data was dropped, running this scripts on *nix systems will be as easy as follows

./gen_lluvia.R
./gen_soil.R
./gen_meteor.R

If R is not correctly installed in your system or it's being ran under Windows, then use the following format

Rscript gen_lluvia.R
Rscript gen_soil.R
Rscript gen_meteor.R

Other scripts

In this repository also reside the files con_hora.R and base.R, however I don't remember how to use this files because I wrote no documentation

Naming scheme

Google style guide for R shall be used

Programming environments

• RStudio IDE
• VSCode or VSCodium

These have been tested on the platforms Debian GNU/Linux, Windows 11 and Windows 10

TODO

• Create a script that removes the repetitive process of conteo-csv.R
• Apply Google style to all existent scripts in the repo
• Remember how and why to use base.R and con_hora.R
• Write actual documentation for the whole repo, this documentationless life can't go on for much longer