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By the end of this project, you will learn how to create a web-based application to view and analyse your dataset using RShiny, a free, open-source R library that you can download. You will learn how reactive programming works between the user interface (UI) and the server. You will then learn how to create a real world web-based application to upload your dataset in CSV format, and view and extract summary information from the dataset. Lastly, you will learn how to dynamically create high quality plots from different columns in your dataset and download these plots for business use.
An RShiny web application is a dynamic application that updates automatically when the user input changes or updates. These web applications can save you time and resources while speeding up the processes and analysis.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
An RShiny web application is a dynamic application that updates automatically when the user input changes or updates. These web applications can save you time and resources while speeding up the processes and analysis.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
