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| {"config":{"lang":["en"],"separator":"[\\s\\-]+","pipeline":["stopWordFilter"]},"docs":[{"location":"","title":"Overview","text":""},{"location":"#interactive-data-visualization-with-r-shiny-for-life-sciences","title":"Interactive Data Visualization with R Shiny for Life Sciences","text":"<p>This repository houses the slides and training materials for a two-day R Shiny tutorial, conducted for the Zurich Ph.D. Program in Molecular Life Sciences (joint program of the University of Zurich and ETH Zurich) in April 2024. The content covers basic to advanced topics and is ideal for anyone looking to improve their data visualisation skills with R Shiny.</p>"},{"location":"#tutorial-description","title":"Tutorial description","text":"<p>Discover the versatility of R Shiny and explore real-world examples that show how it can be used to efficiently visualise and share scientific data. 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| {"config":{"lang":["en"],"separator":"[\\s\\-]+","pipeline":["stopWordFilter"]},"docs":[{"location":"","title":"Overview","text":""},{"location":"#interactive-data-visualization-with-r-shiny-for-life-sciences","title":"Interactive Data Visualization with R Shiny for Life Sciences","text":"<p>This repository houses the slides and training materials for a two-day R Shiny tutorial, conducted for the Zurich Ph.D. Program in Molecular Life Sciences (joint program of the University of Zurich and ETH Zurich) in April 2024. The content covers basic to advanced topics and is ideal for anyone looking to improve their data visualisation skills with R Shiny.</p>"},{"location":"#tutorial-description","title":"Tutorial description","text":"<p>Discover the versatility of R Shiny and explore real-world examples that show how it can be used to efficiently visualise and share scientific data. 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We will take a brief look at some of these tasks at the end of Day 2. Please feel free to post any questions in the Slack channel at any time.</p> Task Difficulty Deploy app online 2 DataTable extensions (download csv) 2 subset dataset 2 shinyWidgets : Extend widgets available in shiny 2 Shiny Dashboard layout elements 3 Add favicon 1.5 Interactive help function 3 Plot statistics 3 Password protection with shinyauthr 3"},{"location":"exercises/#solutions","title":"Solutions","text":"<p>Below you can find the complete solutions for day 1/day 2. 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