All around Shiny

Jan 1, 2025 · Zürich, Switzerland

New year, new R meetup! We are looking forward to seeing you at our upcoming event!

Please read the details below.

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*Safety Concept for the Zurich R User Meetup @ UZH on 19 JAN 2022*
All Zurich R meetup attendees must bring a valid Covid vaccination certificate (= 2G) as well as an ID card. The event organizer will check this information for all meetup attendees. Moreover, all attendees and organizers must wear masks except for the speakers during the presentation.

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Schedule:
6.15 pm Doors open, checking Covid Certificates --> Entry is restricted to participants with a valid Covid vaccination certificate -- everyone must wear masks. [Please read above.]
6.30 pm Welcome Zurich RUG
6.40 pm Talks (see below)

~ 7:45 pm Are you hiring? Looking for an R related job? ... or organising an interesting event? Take the stage for one minute. (DM us if you need a slot!)
~ 8 - 9 pm Beer outside, location tbd

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Speakers:

David Granjon (@divadnojnarg) - PhD Applied Mathematics - Sr. Expert Data Science @Novartis - @RinteRface founder and maintainer (https://rinterface.com)

Title: Outstanding User Interfaces with Shiny

Abstract:
In recent years, R users' understanding of Shiny has greatly increased but so have client expectations. While one of Shiny’s greatest strengths is that it allows producing web applications solely from R code, meeting client’s more delicate expectations will often involve going beyond R code and work with HTML, CSS, and JavaScript. We recognize that R developers tend not to be familiar with the latter as they generally do not have significant background in web development, these may therefore appear daunting at first. In this talk, I’ll present my journey toward the creation of the RinteRface organization, powering many Shiny extensions like bs4Dash or shinyMobile as well as the work in progress “Outstanding user interfaces with Shiny” book (https://divadnojnarg.github.io/outstanding-shiny-ui/), exposing some keys to design amazing user experiences.

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Thomas Lo Russo -- Statistical Office of the Canton of Zurich, Data Scientist, Maintainer of the swissdd-package, https://www.tlorusso.ch

Title: Anomaly Detection on Vote Sundays with R & Shiny

Abstract: TBA

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