Announcing the Jumping Rivers Dashboard Gallery
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At Jumping Rivers we love data dashboards and are delighted to announce the release of a
 gallery to showcase our application-development
 skills.
Tools like
 Shiny,
 Dash,
 Streamlit and
 Observable have simplified the process of making interactive, visual,
 data products.
Despite this simplification, our clients often approach us with challenges that step beyond what is
 easily achieved in these dashboard frameworks. They may have
 accessibility requirements, or need
 applications to be responsive to a users browser size or device. They may need a user interface
 that matches their branding, or that is easy to use. Data itself is sometimes a challenge, and
 some clients need a
 data pipeline developing, for pre-processing or
 validation, so that their applications can work more effectively. There are niche skills involved in
 data presentation and visualisation, and we have a wealth of experience with charts, tables, maps
 and have built a range of custom data-widgets for clients.
Our dashboard gallery contains several
 applications that highlight our expertise across the Jumping Rivers data science team. Within it,
 you can find a list of the applications that are available to view, with links to each and some
 technical information. All the applications are publicly accessible. In the coming months we will be
 adding further applications to the gallery.
At Jumping Rivers we have worked with
 Shiny for many years (including Shiny for Python), and have several
 training courses, dozens of
 blog posts and host our annual conference
 “Shiny in Production” on this tool. Consequently,
 many of the gallery applications are built using Shiny. But our team also boasts expertise with the
 data visualisation library
 D3.js and a range of JavaScript frameworks, and so there is a
 Vue.js application and a timeline developed in D3 presented within the
 showcase too.
Included in our initial gallery collection are:
- our Litmus dashboard which displays risk- and
quality-scores for use when validating R packages (see our recent
blog post); 

- a map application displaying the
“Integrated Care Board” boundaries and population sizes for NHS England; 

- a timeline showing the history of the R language,
built with D3.js; 

- a fun quiz to determine which cat
you are; 

- an airport departure-board with
interactively-selectable columns. 

Please explore our dashboard gallery, and if you
 or your team have a project that would
 benefit from our expertise in dashboard development, deployment and the underlying infrastructure
 please contact us.
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