- Видео 31
- Просмотров 24 845
Jumping Rivers
Великобритания
Добавлен 29 мар 2018
Data-To-Wow: Leveraging Shiny as a no-code solution for high-end parameterised visualisations
You've created a prototype visualisation, fine-tuned it so it looks amazing and perfectly on-brand,
and turned the plot code into a function so that you can run it again on different data and highlight
different aspects of the story. Others on the team have seen how good the outputs look and they want in
on the magic! But they don't want to learn R.
This talk will offer a behind-the-scenes look at the process of creating a Shiny App that functions
as a black box to get straight from the data to high-end parameterised visualisations. We'll start
by looking at creating parameterised plot functions using ggplot, before exploring how to bring the
data and parameterisation into Shiny to create a seam...
and turned the plot code into a function so that you can run it again on different data and highlight
different aspects of the story. Others on the team have seen how good the outputs look and they want in
on the magic! But they don't want to learn R.
This talk will offer a behind-the-scenes look at the process of creating a Shiny App that functions
as a black box to get straight from the data to high-end parameterised visualisations. We'll start
by looking at creating parameterised plot functions using ggplot, before exploring how to bring the
data and parameterisation into Shiny to create a seam...
Просмотров: 84
Видео
Hanna Frick: Survival analysis is coming to tidymodels!
Просмотров 1842 месяца назад
If you have time-to-event data, such as data on customer churn, data on the lifetime of machines, or similar, survival analysis with its censored regression models gives you the ability to include all your observations in the model appropriately, including those where you may not have observed the event yet. The tidymodels framework is a collection of packages for safe, performant, and expressi...
Matthew Law and Matthew Lam: How Mott MacDonald Unlocks The Power of Geospatial with R
Просмотров 1032 месяца назад
How Mott MacDonald unlocks the power of geospatial data with R Mott MacDonald is a global engineering, management, and development consultancy with a broad port.folio of projects across various engineering disciplines. Geospatial data plays an instrumental role in supporting projects in these sectors, enabling us to understand the world around us so that we can make better informed decisions, i...
Michael Hogers: Modular Shiny(Proxy) - a SaaS setup
Просмотров 4123 месяца назад
I aim to provide a talk that displays how one can use R, Shiny and ShinyProxy (or other deployment methods) to create a modular SaaS platform that later allows to swap out modules of the platform with new languages or frameworks. The key ingredients are: use a database back.end across Shiny modules, deploy modules as relatively small apps to dedicated URL endpoints, use a shared UI library acro...
Charlie Gao: ‘mirai’ for Shiny and Plumber Applications
Просмотров 1473 месяца назад
‘mirai’ is Japanese for ‘future’. Some of the existing solutions for parallelization in R have not fundamentally changed in 20 years. The technologies behind ‘mirai’ are, in contrast, modern and minimalist, and provide a level of performance that will be noticeable for demanding, client.facing workloads typical of Shiny and Plumber applications.As a scheduler for distributed tasks, ‘mirai’ curr...
Matt Thomas: A journey through the British Red Cross's 'humaniverse'
Просмотров 693 месяца назад
The ‘Humaniverse’ is a suite of R packages produced by the British Red Cross’s data scientists for sharing humanitarian data and tools. Open data and analyses are vital for 21st Century humanitarianism and these packages have transformed the speed and scale at which we can provide answers about emerging and ongoing humanitarian crises in the UK. In this talk, I will offer an overview of the Hum...
Myles Mitchell: Using R to teach R
Просмотров 1583 месяца назад
At Jumping Rivers, we teach over forty courses covering data science topics, including programming, data visualisation and machine learning, in R as well as Python, Tableau, Git, Docker and Stan. Most courses follow the same template: static notes, live coding scripts and presentation slides. For every taught course we also have to spin up a bespoke virtual environment, collect feedback and gen...
Nicola Rennie: Styling Quarto PDFs with Typst
Просмотров 4,7 тыс.3 месяца назад
Quarto is an open.source scientific and technical publishing system that allows you to combine text with code to create fully reproducible documents in a variety of formats. The addition of custom styling to documents can make them look more professional and recognisable. In this talk, I’ll give an overview of ways to create customised PDF documents using Quarto. Until recently, this meant gett...
Andrie de Vries: Lessons learnt from Project Management, applied to Data Science
Просмотров 2953 месяца назад
As a Data Scientist you build data products all the time. You may even have worked with a Product Manager to create analyses and dashboards for decision making. But are you applying the skills of product management in your data science role? In this talk Andrie provides an overview of Product Management (PM), and what he’s learnt over two decades of managing products, ranging from hardware (Psi...
Shiny in Production 2023: Cara Thompson - Dynamic annotations: tips and tricks ...
Просмотров 981Год назад
Dynamic annotations: tips and tricks to make text shine without stealing the show by Cara Thompson at the Shiny in Production 2023 conference, hosted by Jumping Rivers! Abstract Data. It’s complicated! And there are often many facets to our data stories, which we need to present succinctly enough for our readers to want to engage with. On top of that, it changes! If we want our apps to reflect ...
Shiny in Production 2023: Anna Skrzydło - 3 reasons why nobody uses your app
Просмотров 345Год назад
3 reasons why nobody uses your app by Anna Skrzydło at the Shiny in Production 2023 conference, hosted by Jumping Rivers! Abstract You’ve built a great app. You are sure that once your coworkers will start using it, their life will be so much easier. You are waiting for some signs of success: your happy colleagues praising the app or recommending it to others. But … it doesn’t come. Does it sou...
Shiny in Production 2023: Tan Ho - Effective logging for Shiny
Просмотров 507Год назад
Effective logging for Shiny by Tan Ho at the Shiny in Production 2023 conference, hosted by Jumping Rivers! Abstract This talk will share some strategies I’ve found effective in setting up logging for Shiny apps to help with debugging applications both in development and when deployed to production. This event was sponsored by: - Jumping Rivers - National Innovation Centre for Data - NU Solve -...
Shiny in Production 2023: Colin Gillespie - Securing Shiny Dashboards
Просмотров 395Год назад
Securing Shiny Dashboards by Colin Gillespie at the Shiny in Production 2023 conference, hosted by Jumping Rivers! Abstract Shiny apps, Rmarkdown reports and flask dashboards provide a rich user experience for relatively little development time. Often this experience is created by utilising third‐party Javascript functions, CSS files, fonts and images, but every external file we use means we im...
Shiny in Production 2023: Naomi Bradbury, Clareece Nevill, Janion Nevill - Health Data Scientists...
Просмотров 190Год назад
Health Data Scientists Developing Production Grade Shiny Apps by Naomi Bradbury, Clareece Nevill, and Janion Nevill at the Shiny in Production 2023 conference, hosted by Jumping Rivers! Abstract In 2017 a group of Biostatisticians at the University of Leicester embarked on two mini‐projects to investigate the feasibility of using R Shiny apps to perform meta‐analyses. Six years later, we have p...
Shiny in Production: Chris Brownlie - Anatomy of a Shiny app
Просмотров 552Год назад
Anatomy of a Shiny app by Chris Brownlie at the Shiny in Production 2023 conference, hosted by Jumping Rivers! Abstract Have you ever wondered what really goes on under the hood of a Shiny app? What the building blocks are and how they fit together to enable us to build reactive web apps using R? Shiny apps are made up of a collection of objects that all link with each other and external source...
Shiny in Production 2023: Liam Kalita - The Road to Easier Shiny App Deployments
Просмотров 487Год назад
Shiny in Production 2023: Liam Kalita - The Road to Easier Shiny App Deployments
Shiny in Production 2023: George Stagg - R Shiny without a server: webR and Shinylive
Просмотров 6 тыс.Год назад
Shiny in Production 2023: George Stagg - R Shiny without a server: webR and Shinylive
SatRdays London 2023: Oliver Hawkins - Why R is good for journalism
Просмотров 1,3 тыс.Год назад
SatRdays London 2023: Oliver Hawkins - Why R is good for journalism
SatRdays London 2023: Andrew Collier and Bianca Peterson - Sidekicks of the Tidyverse
Просмотров 348Год назад
SatRdays London 2023: Andrew Collier and Bianca Peterson - Sidekicks of the Tidyverse
SatRdays London 2023: Russ Hyde - Does code quality even matter in data science?
Просмотров 271Год назад
SatRdays London 2023: Russ Hyde - Does code quality even matter in data science?
SatRdays London 2023: Heather Turner and Ella Kaye - Sustainability and EDI in the R Project
Просмотров 90Год назад
SatRdays London 2023: Heather Turner and Ella Kaye - Sustainability and EDI in the R Project
SatRdays London 2023: Jack Davison - “Put it on a map!” - Developments in Air Quality Data Analysis
Просмотров 262Год назад
SatRdays London 2023: Jack Davison - “Put it on a map!” - Developments in Air Quality Data Analysis
SatRdays London 2023: Botan Ağın and Michael Stevens - AutRmatic reporting ...
Просмотров 646Год назад
SatRdays London 2023: Botan Ağın and Michael Stevens - AutRmatic reporting ...
SatRdays London 2023: Julia Silge - What is "production" anyway? MLOps for the curious
Просмотров 1,1 тыс.Год назад
SatRdays London 2023: Julia Silge - What is "production" anyway? MLOps for the curious
Shiny in Production 2022: Mike Smith - Offload data manipulation from your Shiny apps ...
Просмотров 4972 года назад
Shiny in Production 2022: Mike Smith - Offload data manipulation from your Shiny apps ...
Shiny in Production 2022: Gareth Burns - Seamlessly integrating Shiny applications into KerusCloud..
Просмотров 1612 года назад
Shiny in Production 2022: Gareth Burns - Seamlessly integrating Shiny applications into KerusCloud..
Shiny in Production 2022: Theo Roe - Expect the Unexpected - {Shiny} & {htmlwidgets}
Просмотров 2982 года назад
Shiny in Production 2022: Theo Roe - Expect the Unexpected - {Shiny} & {htmlwidgets}
Shiny in Production 2022: Andrew Patterson - Dockerising a Shiny App
Просмотров 2,6 тыс.2 года назад
Shiny in Production 2022: Andrew Patterson - Dockerising a Shiny App
Shiny in Production 2022: Chris Beeley - Next level Shiny- R, Python, and JavaScript
Просмотров 4332 года назад
Shiny in Production 2022: Chris Beeley - Next level Shiny- R, Python, and JavaScript
Shiny in Production 2022: Caterina Constantinescu - Journey through a landscape of options...
Просмотров 4792 года назад
Shiny in Production 2022: Caterina Constantinescu - Journey through a landscape of options...