![]() We used a selectInput() control widget with a ID # function that takes a site code and generates a plot f_make_hydrograph % filter ( SITE_CODE = site_code ) %>% ggplot ( aes ( MSMT_DATE, WSE ) ) + geom_line (alpha = 0.5 ) + geom_smooth (method = "lm", se = FALSE ) + labs (title = glue :: glue ( "Groundwater level (ft AMSL) at: package to change the default appearance of You may begin with anĮDA to filter the data to Sacramento County, clean the data, and make Imagine you’re analyzing groundwater levels across California 1 and want to assess groundwaterĮlevation trends over time in Sacramento County. You should create a Shiny App when you want to make results and/or dataĪvailable to others, or when the dataset is complex enough to warrant a Need to answer is “when and why should I build a Shiny App?” Generally, Now that we know what a Shiny App is, a fundamental question that we Powerful way of exploring and understanding the data within the Shiny Non- R users!) to interact with the data, providing a Wrap existing code and data with an additional layer of interactivityīetter visualize, analyze, export, and more. Shiny Apps are highly customizable, and allow R users to No knowledge of HTML, CSS, or JavaScript.īecause they extend R-based analyses, interactive ShinyĪpps have as many diverse niches and uses as the the RĬommunity itself, and it’s likely that you have come across a Shiny App Mind, and to that end, you can create pretty complicated Shiny apps with It is designed primarily with data scientists in Shiny is a framework for creating web applications using Discuss approaches to extend your Shiny skills.Understand the basic structure of a Shiny App and common. ![]() Understand what a Shiny App is and why you might want or need to.
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