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Nicola Rennie gives a walkthrough of R code for making data visualizations that work well on mobile and desktop devices. About Nicola Rennie: Nicola Rennie is a lecturer in health data science based within the Center for Health Informatics, Computing, and Statistics at Lancaster University in the UK. Her research interests include applications of statistics and machine learning to healthcare, communicating data through visualization, and understanding how we teach statistical concepts. Nicola also has experience in data science consultancy, collaborates closely with external research partners, and is co-author of the Royal Statistical Society's Best Practices for Data Visualization. She can often be found at data science meetups, presenting at conferences, and is the organizer of the Lancaster chapter of R Ladies. Important resources mentioned: 1. Blog post by Nicola on Designing #TidyTuesday visualisations for mobile (with Quarto): https://nrennie.rbind.io/blog/designi... 2. Best Practices for Data Visualisation: https://royal-statistical-society.git... Connect with Nicola: ● Website: nrennie.rbind.io ● Twitter: @nrennie35 ● LinkedIn: linkedin.com/in/nicola-rennie ● Mastodon: @fosstodon.org/@nrennie ● ORCID: orcid.org/0000-0003-4797-557X Subscribe to our newsletter: https://rfortherestofus.com/newsletter Chapters 0:00 Intro 3:11 There’s a plethora of ways of using R in statistics and data visualization 6:34 Getting into data viz as a creative outlet 8:38 Why choose a programming language like R to do data visualization? 13:11 Start doing data viz in R 16:30 Code demo: how to make data viz for mobile devices 40:35 Outro