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Posts tagged #ShinyInProduction

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Shiny in Production 2025: Sponsors Shiny in Production Conference is fast approaching and we wouldn't be able to put it on without the support of our sponsors!

The Shiny in Production Conference is fast approaching — and we couldn’t make it happen without the incredible support of our sponsors!

A big thank you to:

- Posit
- ThinkR
- Datacove
- Newcastle University Solve
- CRC Press
- R Consortium

#RStats #DataScience #ShinyInProduction #Sponsors

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Shiny in Production 2025: R Dev Day Do you use R? Would you like to play a part in sustaining it? Find out about the R Dev Day that is returning as a satellite event to Shiny in Production 2025. This post will answer questions you may have, such as: “Do I need to be an R guru to participate?”, “What will I be expected to do?”, and “Is there a cost to attend?”. Hopefully by the end, you’ll be motivated to sign up!

Do you use R? Would you like to play a part in sustaining it? Find out about the R Dev Day that is returning as a satellite event to Shiny in Production 2025.

#rstats #rshiny #ShinyInProduction #conferences

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Shiny in Production 2025: Lightning Talk Lineup We are pleased to announce the lightning talks for this year's Shiny in Production conference! In this blog post, we've pulled together all of the talk abstracts to give you a full view of what to expect!

We are happy to share that alongside nine full-length sessions, this year’s conference (8–9 October) also features a lineup of fast-paced 5‑minute lightning talks.


#ShinyInProduction #RStats #RShiny #ShinyApps #DataScience

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Shiny in Production 2025: Workshops The details of all of our workshops for Shiny in Production are now live on the conference website. Read on for full details all in one place.

This year’s Shiny in Production Conference workshops cover the key aspects of building effective, production-ready Shiny apps: Testing for {shiny}, Asynchronous Shiny, Maps in Shiny, Figma & UI Design for Shiny.


#ShinyInProduction #RStats #RShiny #ShinyApps

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Shiny in Production 2025: Full Length Talks We are pleased to announce the full length talks for this year's Shiny in Production conference! In this blog post, we've pulled together all of the talk abstracts to give you a full view of what to expect!

We're happy to share the main talks for the Shiny in Production Conference 2025!

This year's lineup includes some great talks on using Shiny in real-world projects, from building apps to scaling them in production.

Looking forward to seeing everyone there!

#ShinyInProduction #RStats #DataScience

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October 2025

Early bird registration for the Shiny in Production Conference closes at the end of the month, grab your ticket before then!

We'll be announcing the selected speakers in the coming days.


#ShinyInProduction #RStats #DataScience #Shiny

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Shiny in Production 2025: Workshops The details of all of our workshops for Shiny in Production are now live on the conference website. Read on for full details all in one place.

Shiny in Production is returning to The Catalyst in Newcastle upon Tyne this October!

The workshop day is lined up — to learn more and register, follow the link below. Speaker announcements for the main event coming soon.

#ShinyInProduction #RStats #Shiny #DataScience

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Shiny in Production 2024 Videos All our videos from Shiny in Production 2024, collected together in one place.

Our latest blog post collects together all our videos from Shiny in Production 2024 and looks ahead to Shiny in Production 2025. Why not come join us in Newcastle on the 8th and 9th of October?


#ShinyInProduction #Shiny #RStats #DataScience

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October 2025

Happy to announce our first speaker for the Shiny in Production Conference—Colin Fay! 🎉 He’ll be presenting 'After {shiny} — Bringing R to Mobile with webR'.

#Rstats #Rshiny #ShinyinProduction

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October 2025

Abstract submissions for Shiny in Production Conference closes this Thursday, April 3rd! 📅 Don't miss your chance to share your insights with the Shiny community!


#ShinyInProduction #RShiny #DataScience #CallForSpeakers

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Lightning Talks
Lightning Talks - David Carayon: The SK8 project - Osheen Macoscar: Using Google Lighthouse to Analyse Shiny Applications - Astrid Radermacher: Jumping Rivers' package quality evaluation platform for regulated industries - Juan Ramon Vallarta Robledo: Chagas diagnostic algorithms: an online application to estimate cost and effectiveness of diagnostic algorithms for Chagas disease

This week's Shiny in Production video is not one talk but four, as our brave quartet of lightning speakers try to cram everything they have to say into a six-minute time slot.


#RStats #ShinyInProduction #DataScience #LightningTalks

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Katy Morgan: More than just a chat bot
Katy Morgan: More than just a chat bot Generative AI offers huge potential for driving creativity by suggesting new ideas and perspectives and can also improve efficiency by rapidly processing and extracting insights from large volumes of text. However, using a chatbot-style tool such as ChatGPT can be overwhelming as users have to work out, through trial and error, which questions and instructions give them the outputs they need. The Government Internal Audit Agency’s data analytics team has created two R shiny web applications, each of which simplifies the user’s experience of using generative AI by providing a user-friendly interface and implementing a set of standardised prompts. The Risk Engine walks the user through a stepwise process to explore and articulate the potential risks that might impact any given business objective. The Writing Engine enables users to analyse and generate text in several ways, including generating a draft audit report from rough notes, and summarising common themes from...

The last of our longer talks from Shiny in Production 2024 is from Katy Morgan. In it she covers how The Government Internal Audit Agency’s data analytics team created two Shiny applications to simplify the user's experience of using generative AI.

#ShinyApps #RStats #AI #UX #ShinyInProduction

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Tan Ho: A minimum viable Shiny infrastructure for serving 95,000 monthly users
Tan Ho: A minimum viable Shiny infrastructure for serving 95,000 monthly users All too often, Shiny gets criticized for scaling poorly ‐ and yet the DynastyProcess Shiny app crushes those expectations by serving over 95,000 unique users each month! In this talk, we’ll deep dive into the motivations, architecture, and design decisions driving the development of a massively popular app and share takeaways for scaling up your own apps.

This week's Shiny in Production 2024 talk, from Tan Ho, covers how to scale a Shiny app to deal with almost 100,000 visitors per month.

#ShinyApps #RStats #DataScience #ShinyInProduction

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Shiny in Production 2025: Abstracts Deadline Extension Due to popular demand we are extending the abstract deadline for [Shiny in Production 2025](https://shiny-in-production.jumpingrivers.com/), to be held on 8th-9th October 2025 in Newcastle upon Tyne, UK. Read on for more details on how to submit your work.

The deadline for abstract submissions for the Shiny in Production Conference has been extended to April 3rd!

Don't miss this chance to showcase your work and connect with the Shiny community.

To submit your abstract follow the link in the comments!

#Rstats #ShinyinProduction #DataScience

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October 2025

Reminder: The abstract submission deadline for this year's Shiny in Production Conference is just two weeks away!

Don't miss your chance to share your insights, innovations, and experiences with the Shiny & R community.


#Rstats #ShinyInProduction #DataScience #ShinyApps

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Gareth Burns: Shiny in Secondary Education
Gareth Burns: Shiny in Secondary Education The Statisticians in the Pharmaceutical Industry (PSI) Schools Outreach initiative aims at promoting data literacy and statistical concepts to the next generation of Statisticians and Data Scientists. Volunteers attend secondary schools to present from specialised workshops which are designed to be interactive, engaging and aligned to the national curriculum for different age groups. The PSI Visualisation Special Interest Group (VIS SIG) created a Shiny application to supplement an existing workshop for Asthma. This workshop aims to introduce the students to analysis of continuous data and make them think about concealing treatment assignment and consider false positive and false negative results. The application allowed electronic data capture the ability to dynamically explore their own data, re-enforcing the statistical concepts and making learning more engaging and accessible. Each school is different in terms of class size, computer resources and student abilities, therefore the application needed to be flexible to account for this...

This week's Shiny in Production video is from Gareth Burns with "Shiny in Secondary Education". In this talk, he explores how Shiny applications can enhance the teaching of Statistics and Data Science to the next generation.

#ShinyApps #Rstats #DataScience #ShinyinProduction

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Vikki Richardson: Optimising Shiny Apps
Vikki Richardson: Optimising Shiny Apps

The next Shiny in Production video is from Vikki Richardson, Audit Scotland, where she shares valuable techniques for optimising Shiny applications.

Check the link in the comments for this year's Shiny in Production Conference!

#Shiny #RStats #DataScience #ShinyInProduction

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Pedro Silva: Convincing IT that R packages are safe
Pedro Silva: Convincing IT that R packages are safe R packages are essential tools for data science, but how reliable are they? This talk will explore methods for evaluating the quality and potential risks associated with R packages, focusing on key factors like community engagement, development activity, documentation standards, and code quality. We’ll discuss the toolset used as the standard at Jumping Rivers for validating packages with clients, offering advanced scoring methods, customizable risk thresholds, and the ability to incorporate data from external sources to deliver a more comprehensive assessment of package risks.

This week's Shiny in Production video is from our very own Pedro Silva, in which he goes through methods for evaluating the quality and potential risks associated with R packages.

Check the link in the comments for this year's Shiny in Production Conference!

#RStats #RShiny #ShinyInProduction #DS

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Preview
October 2025

Our Shiny in Production Conference will take place on 8-9th October 2025! 🎉

Super Early bird tickets are now available—don’t miss your chance to secure your spot.

Visit the website to learn more about the timeline and explore the schedule.

#rstats #DataScience #ShinyinProduction

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