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#005 Shiny’s Evolution: From Prototyping Tool to Critical Technology in Pharma
#datascience #dataanalysis #technology #clinicaltrials #rshiny #shinyforpython #pharmatech
Shiny paved the way for R users to create interactive, production-ready applications without switching stacks. In this episode, Eric Nantz reflects on Shiny’s origins, its "lazy by design" reactivity model, and how the ecosystem matured. We dive into how Shiny for Python expands this power to new audiences, and how Shiny is becoming key to modern clinical trial workflows. Eric shares real-world examples, user reactions, and the future of interactive data science.
In this episode, you will learn:
More about Appsilon: ► https://www.appsilon.com/
Appsilon empowers pharmaceutical and life sciences companies to leverage open-source technology for faster, data-driven decision-making in regulated environments.
Schedule a free consultation with our expert
► https://www.appsilon.com/contact-us
_________________________________________
For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog:► http://appsilon.com/blog
LinkedIn: https://www.linkedin.com/company/appsilon/
Shiny paved the way for R users to create interactive, production-ready applications without switching stacks. In this episode, Eric Nantz reflects on Shiny’s origins, its "lazy by design" reactivity model, and how the ecosystem matured. We dive into how Shiny for Python expands this power to new audiences, and how Shiny is becoming key to modern clinical trial workflows. Eric shares real-world examples, user reactions, and the future of interactive data science.
In this episode, you will learn:
- How Shiny became a game changer for people working with R
- How the framework evolved from a simple prototyping tool to a critical asset in life sciences
- How open source is surpassing proprietary software
- The future of Shiny in drug development
- R-Podcast Episode 18 Interview with Joe Cheng https://r-podcast.org/018-interviews-with-the-rstudio-team/
- Joe Cheng - The Past and Future of Shiny (rstudio::conf 2022 keynote) https://www.youtube.com/watch?v=HpqLXB_TnpI
- echarts4r - Interactive visualizations for R via Apache ECharts https://echarts4r.john-coene.com
- reactable -Interactive data tables https://glin.github.io/reactable/
- htmlwidgets Gallery https://gallery.htmlwidgets.org/
- renv - Project environments for R https://rstudio.github.io/renv/articles/renv.html
- rix - Reproducible data science environments for R with Nix https://docs.ropensci.org/rix/
- R Weekly https://rweekly.org
- R Weekly Highlights podcast https://serve.podhome.fm/r-weekly-highlights
- Shiny Developer Series https://shinydevseries.com
More about Appsilon: ► https://www.appsilon.com/
Appsilon empowers pharmaceutical and life sciences companies to leverage open-source technology for faster, data-driven decision-making in regulated environments.
Schedule a free consultation with our expert
► https://www.appsilon.com/contact-us
_________________________________________
For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog:► http://appsilon.com/blog
LinkedIn: https://www.linkedin.com/company/appsilon/
View all episodes
By Appsilon#datascience #dataanalysis #technology #clinicaltrials #rshiny #shinyforpython #pharmatech
Shiny paved the way for R users to create interactive, production-ready applications without switching stacks. In this episode, Eric Nantz reflects on Shiny’s origins, its "lazy by design" reactivity model, and how the ecosystem matured. We dive into how Shiny for Python expands this power to new audiences, and how Shiny is becoming key to modern clinical trial workflows. Eric shares real-world examples, user reactions, and the future of interactive data science.
In this episode, you will learn:
More about Appsilon: ► https://www.appsilon.com/
Appsilon empowers pharmaceutical and life sciences companies to leverage open-source technology for faster, data-driven decision-making in regulated environments.
Schedule a free consultation with our expert
► https://www.appsilon.com/contact-us
_________________________________________
For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog:► http://appsilon.com/blog
LinkedIn: https://www.linkedin.com/company/appsilon/
Shiny paved the way for R users to create interactive, production-ready applications without switching stacks. In this episode, Eric Nantz reflects on Shiny’s origins, its "lazy by design" reactivity model, and how the ecosystem matured. We dive into how Shiny for Python expands this power to new audiences, and how Shiny is becoming key to modern clinical trial workflows. Eric shares real-world examples, user reactions, and the future of interactive data science.
In this episode, you will learn:
- How Shiny became a game changer for people working with R
- How the framework evolved from a simple prototyping tool to a critical asset in life sciences
- How open source is surpassing proprietary software
- The future of Shiny in drug development
- R-Podcast Episode 18 Interview with Joe Cheng https://r-podcast.org/018-interviews-with-the-rstudio-team/
- Joe Cheng - The Past and Future of Shiny (rstudio::conf 2022 keynote) https://www.youtube.com/watch?v=HpqLXB_TnpI
- echarts4r - Interactive visualizations for R via Apache ECharts https://echarts4r.john-coene.com
- reactable -Interactive data tables https://glin.github.io/reactable/
- htmlwidgets Gallery https://gallery.htmlwidgets.org/
- renv - Project environments for R https://rstudio.github.io/renv/articles/renv.html
- rix - Reproducible data science environments for R with Nix https://docs.ropensci.org/rix/
- R Weekly https://rweekly.org
- R Weekly Highlights podcast https://serve.podhome.fm/r-weekly-highlights
- Shiny Developer Series https://shinydevseries.com
More about Appsilon: ► https://www.appsilon.com/
Appsilon empowers pharmaceutical and life sciences companies to leverage open-source technology for faster, data-driven decision-making in regulated environments.
Schedule a free consultation with our expert
► https://www.appsilon.com/contact-us
_________________________________________
For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog:► http://appsilon.com/blog
LinkedIn: https://www.linkedin.com/company/appsilon/