In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...

Background: Although the integration of self-monitored patient data into mental health care offers potential for advancing personalised approaches, its application in clinical practice remains largely ...

Public trust in the media and in data has been undercut by information overload, relentless social media cycles, and targeted influence campaigns. Whether driven by politics, social movements, or ...

Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. Typing questions into a chatbot is nice, ...

The social science data analysis and visualization minor introduces students to the fundamentals and current innovations of research and data analysis across social science disciplines. It equips ...

On 19 June 2025, the UK Parliament enacted the Data (Use and Access) Act 2025 (DUAA), marking the most significant UK data protection reform since the UK General Data ...

Tabular data is at the heart of scientific analysis—whether in medicine, the social sciences, or even archaeology. Making it comprehensible and usable is often a tedious task, especially when the data ...

As someone whose early academic career was shaped by infographics – and whose professional journey led into agile project management, augmented reality (AR), and immersive technology – I believe ...

The recent release of the rcssci R package represents a significant advancement in the way researchers visualize and analyze complex relationships between continuous variables and their outcomes. The ...