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abuse_sport_r

Contained within are code scripts, statistical analyses, and visualizations developed through R.

adria4data

Config files for my GitHub profile.

adrian4data_portfolio_website_1.github.io

haz_infants

Our objective was to investigate the relationship between infants’ height and various demographic parameters, including the mother's location, marital status, socioeconomic status, age, and infant-specific factors such as being born at term, age, anemia condition, birth order, and dietary patterns, specifically minimum dietary diversity (MDD).

haz_infants_power_bi

In this repository, you will find Power BI dashboards file exploring the Predictors of Height using Height-for-Age Z-Scores (HAZ) in Romanian Infants. The analysis aims to identify and visualize the various factors influencing height among this demographic, utilizing HAZ as a standardized metric.

tar_showcase_test

waz_infants_excel

This repository contains an Excel-based dashboard focused on analyzing and visualizing data related to infants' weight.

waz_infants_python_jupyterlab

Statistical analyses were conducted using Python in JupyterLab, hosted by Anaconda.

waz_infants_r

The objective of the present study was to explore the relationship between infants’ weight and various demographics (i.e., infants’ mother location, marital status, social economic status, and age; and infants being born on term, age, anemia status, rank into the family and dietary patterns).

waz_infants_rstudio_python

The objective of the present study was to explore the relationship between infants’ weight and various demographics. The statistical analyses were performed in Python via RStudio.