Tableau vs. R Shiny: Which Excel Alternative Is Right For You? How does R Shiny compare to drag and drop visualization tools like Tableau?
As of late 2020, there are many dashboarding/reporting/BI tools out there, with the most popular ones being Tableau, PowerBI, and R Shiny. The question quickly becomes — “How can I determine the right tool for my particular needs?” Today we’ll compare two of the most widely used tools at Fortune 500 companies:
Tableau - an intuitive and straightforward drag and drop solution used for data analysisR Shiny - a web framework written in R, widely used to make dashboards and interactive web applications
Let’s get one thing out of the way — R Shiny is not a reporting/dashboarding tool. Most people use it to make dashboards, so we can consider this comparison fair. As mentioned earlier, R Shiny_ is_ a full web framework. With it comes some obvious benefits and some considerations you need to have in mind when comparing it to tools like Tableau_._We’ll examine the following areas where Tableau and R Shiny compete with one another and declare a winner (or tie) for each:
A data scientist/analyst in the making needs to format and clean data before being able to perform any kind of exploratory data analysis.
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These data science tools illustrated guides are broken up into four distinct categories: data retrieval, data manipulation, data visualization, and engineering tips. Both online and PDF versions of these guides are available.
This article I show how to use the Plotly package to visualize financial data in high frequency using R. To perform analysis and…
The objective of the present article is to provide a simple guide on how to develop an R Shiny application to analyze, explore, and predict variables within a dataset.