Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...

Single-cell technologies have revolutionized our ability to interrogate biological systems at unprecedented resolution, revealing complex cellular heterogeneity and dynamic processes that underlie ...

I am storing in this repository two CSV files of economic data, cited below. Use case: purely educational. (Exploratory data analysis in Google Colab for a data analytics assignment in an online ...

ABSTRACT: Evaluating drug safety during pregnancy remains an ongoing clinical and pharmacological challenge due to ethical, practical, and regulatory barriers, resulting in scarce human clinical trial ...

Social scientists are faced with the challenge of designing complex studies and analyzing collected data via various programs such as R, Stata, SPSS, or Python. This often requires the use of ...

Abstract: Risk factor analysis is essential in medical research and patient care, offering insights into the determinants of mortality and severe outcomes. It aids healthcare providers in improving ...

Data modeling and data analysis are two fundamental ideas in the contemporary field of data science that frequently overlap but are very different from one another. Although both are crucial in ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...