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In this easy-going workshop, we will be building interactive website dashboards that allow teams to quickly show each other information such as numerous graphs and tables.\n\nThis tool is useful for academic research groups, business teams, or other people who meet regularly for updates. We will learn how to filter, sort, visualize data, uncover trends, and present results aesthetically.\n\nThis workshop will use the R programming language and will include some exploration in Quarto, dashboards, Shiny, markdown, and geospatial data. Some computer programming experience is preferred, but expertise is not required.

Hands-on Session using Quarto Dashboards in Data Analysis

Maintaining a consistent brand identity across data science outputs is essential for clear communication and a professional image. This talk introduces brand.yml, a powerful new tool designed to streamline adherence to organizational style guides within the Quarto publishing system. brand.yml simplifies the creation of visually consistent materials that perfectly align with your organization's brand guidelines in HTML reports, presentations, websites, and dashboards.

We'll explore how brand.yml allows you to define your brand's visual identity, including colors, fonts, logos, and more, in a single, centralized location. You will learn how to integrate this configuration file into your Quarto projects, automatically applying the defined style guide to various outputs like reports, presentations, websites, and more. Beyond basic integration, I’ll share practical tips and demonstrate tools that simplify the process of designing and managing your brand.yml file to make brand customization even easier.

Join us to discover how brand.yml can elevate your Quarto documents to a new level of professionalism to ensure that your work is more impactful and on-brand.

Discover new ways to share R, Python, and Shiny projects using Quarto Live and Shinylive, no server required!

These tools bring R, Python, and Shiny applications to life directly in the browser. Your audience can open a web page and instantly run code or interact with Shiny apps without needing any setup.

Quarto Live allows you to embed interactive code blocks, exercises with hints and solutions, and dynamic visualizations within static HTML documents. Powered by WebAssembly, it brings interactivity to your Quarto documents.

Shinylive transforms Shiny apps into fully browser-based experiences. In this talk, you’ll learn how to use these tools to create engaging, interactive documents, dashboards, and educational content that anyone can access, even if they do not have R or Python installed. I look forward to seeing you there!

Join us for an insightful session on “Quarto Dashboards” led by expert Isabella Velasquez!

In this workshop, you’ll dive into the world of Quarto, exploring how to create dynamic and interactive dashboards for data visualization. Whether you’re a beginner or seasoned developer, this session promises to enhance your skills and empower you with practical knowledge.

Don’t miss out on this opportunity to learn from the best in the field and take your data presentations to the next level. See you there!

Join us for a fun workshop that will introduce you to Quarto - an exciting tool for creating reports and websites

Quarto is an open-source scientific and technical publishing system, developed by Posit (formerly RStudio). By combining narrative text, code, images, and tables, Quarto allows you to produce elegantly formatted output that is fully reproducible. Quarto is capable of embedding code written in R, Python, Julia, and Observable JS (for this talk we’ll focus on R). It supports dozens of static and dynamic output formats including HTML, PDF, MS Word, slides, dashboards, scientific articles and more. In this talk, we’ll discuss what Quarto is and how it differs from R Markdown, demonstrate how to make simple documents, and showcase a few features of Quarto that make it incredibly useful. In this session, you will learn how to:

• create documents in Quarto that combine R code with text, images, and plots.
• make use of Quarto options to easily switch between output formats such as PDF, MS Word, and HTML
• parameterise reports to quickly create multiple copies of a report

**Please bring a laptop so you can fully participate in the workshop.**

After the workshop, we will have ample time for networking and chat over some snacks and drinks (courtesy of the Software Sustainability Institute).

Nicola is a Lecturer in Health Data Science, based at Lancaster University.