Speaker
Description
We are delighted to introduce 'blockr', a visual, block-based interface for building, customising, and sharing interactive R data workflows, without any coding experience.
'blockr' enables users to snap together modular blocks for data loading, transformation, visualisation, and export, forming directed acyclic graph (DAG) pipelines with instant visual feedback. It carefully integrates AI tools, to assist users in building workflows and configuring blocks, further lowering barriers for non-programmers and accelerating app creation. Every project can be saved, restored and exported as clean reproducible R code. The 'blockr' ecosystem includes blocks for data wrangling and visualisation (dplyr, tidyr, ggplot2, ...), time series, AI assistants, and domain-specific tasks, to cover most use cases (https://bristolmyerssquibb.github.io/blockr/). Programmatic APIs exist to create new blocks or even larger extensions such as markdown reports and slides deck builder, thereby adapting to all R users needs. 'blockr' can be used for a wide range of tasks, from building single-page or multi-tabs dashboards, to automating data workflows such as file conversion, cleaning, and export, or teaching data science (https://blockr.cloud/).
'blockr' is currently utilised at BMS (Bristol Myers Squibb), from where it is sponsored, to power clinical applications such as patients safety explorer or in the automation of complex statistical table generation. It is also applied in insurance and sport analytics.
Additional Material or Paper
A proof of concept was introduced at useR 2024: https://userconf2024.sched.com/event/1c8xh/no-code-data-analysis-and-visualization-dashboards-with-blockr-david-granjon-cynkra-gmbh, although the project is now in a totally different shape and used in production. Blog post: https://cynkra.com/blog/2025-12-22-blockr-release-0.1/. Youtube channel: https://www.youtube.com/@blockr-project. Demo servers: https://blockr.cloud/
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| Keywords: Please list up to 5 keywords to help us find the right session for your contribution. | no-code, workflow, reproducible, visualisation, exploration |
|---|---|
| Virtual Option | This submission is for onsite presentation only |
| Video Recording | Video sharing is fine |
| The author(s) agree(s) to take responsibility and be accountable for the contents of the submission and is/are authorized to present it. | Confirm |