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 ...

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 ...

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 ...

Hello，Thank you very much for your work！I am very curious about what tool was used to visualize the representative hyperedges generated by the adaptive hypergraph construction in the HyperACE module.

This study employs a Python-based Shiny application that integrates Fitbit data visualization through a user-authenticated dashboard. I aim to create a platform for "personal usage only" Highlighted ...