Announcing the Jumping Rivers Dashboard Gallery

At Jumping Rivers we love data dashboards and are delighted to announce the release of agallery to showcase our application-developmentskills.

Tools likeShiny,Dash,Streamlit andObservable have simplified the process of making interactive, visual,data products.

Despite this simplification, our clients often approach us with challenges that step beyond what iseasily achieved in these dashboard frameworks. They may haveaccessibility requirements, or needapplications to be responsive to a users browser size or device. They may need a user interfacethat matches their branding, or that is easy to use. Data itself is sometimes a challenge, andsome clients need adata pipeline developing, for pre-processing orvalidation, so that their applications can work more effectively. There are niche skills involved indata presentation and visualisation, and we have a wealth of experience with charts, tables, mapsand have built a range of custom data-widgets for clients.

Do you require help building a Shiny app? Would you like someone to take over the maintenance burden?If so, check outourShiny and Dashservices.

Our dashboard gallery contains severalapplications 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 sometechnical information. All the applications are publicly accessible. In the coming months we will beadding further applications to the gallery.

At Jumping Rivers we have worked withShiny for many years (including Shiny for Python), and have severaltraining courses, dozens ofblog 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 thedata visualisation libraryD3.js and a range of JavaScript frameworks, and so there is aVue.js application and a timeline developed in D3 presented within theshowcase too.

Included in our initial gallery collection are:

• our Litmus dashboard which displays risk- andquality-scores for use when validating R packages (see our recentblog 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 catyou are;

• an airport departure-board withinteractively-selectable columns.

Please explore our dashboard gallery, and if youor your team have a project that wouldbenefit from our expertise in dashboard development, deployment and the underlying infrastructureplease contact us.

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