Data analysis of Bioteksa plant nutrition trials for measure nutrient efficacy, resistance against biotic and abiotic factors, etc.
-
Updated
Jun 24, 2024 - HTML
Quarto is an open source scientific and technical publishing system. Built on pandoc, it allows for the creation of reports, documents, websites, blogs, presentations, books, and articles in a variety of formats.
Quarto is supported by several coding tools, including JupyterLab, VS Code, and Neovim, as well as other text editors. It also has a powerful visual editor for pandoc Markdown. The output can be modified and extended via extensions, and Quarto supports the creation of custom extensions.
A variety of publication options are available, including Quarto Pub and GitHub Pages.
Data analysis of Bioteksa plant nutrition trials for measure nutrient efficacy, resistance against biotic and abiotic factors, etc.
Pronósticos de series de tiempo con Python y R.
R/Quarto analysis of renewable electricity generation and CO2 emissions in Norway vs Europe (1990–2025).
An analysis into the variables affecting systolic blood pressure in ICU patients in the New York Downtown Hospital.
A personal project to explore Quarto functionality in R. I love💖
My personal website/portfolio built with Quarto and hosted on GitHub Pages.
A Python-R Dictionary for Data Science
Closeread story about number of crashes per year in California (2014-2023)
Presentación de la Comunicación Oral del LII Coloquio Argentino de Estadística de la Sociedad Argentina de Estadística