AI is transforming research. These AI tools for research will help you keep up with the times and take your research to the next level.

Despite data gaps in many countries, the burden of sickle cell disease, especially in west and central Africa, underscores ...

It may be niche, but it's a big niche in a data-driven world.

Companies and researchers can use aggregated, anonymized LinkedIn data to spot trends in the job market. This means looking ...

Abstract: As the field of machine learning continues to advance, the importance of effective exploratory data analysis (EDA) cannot be overstated, especially in the context of classification problems.

Abstract: Existing data visualization tools predominantly rely on manual development or traditional software solutions to translate raw data into meaningful visual representations. However, these ...

Lately, I’ve been spending most of my day inside Cursor running Claude Code. I’m not a developer. I run a digital marketing agency. But Claude Code within Cursor has become the fastest way for me to ...

A powerful and intuitive Python library for exploratory data analysis and data profiling. Pydata-visualizer automatically analyzes your dataset, generates interactive visualizations, and provides ...

In this tutorial, we demonstrate how to move beyond static, code-heavy charts and build a genuinely interactive exploratory data analysis workflow directly using PyGWalker. We start by preparing the ...

3 Erasmus MC University Medical Center Sophia Children's Hospital, Rotterdam, Netherlands Due to the growing use of high-dimensional data and methodological advances in medical research, ...