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A step-by-step guide to bringing Shiny to the cloud

Shiny apps and dashboards are highly versatile tools that allow end users to interact with data in various ways while app functionality is supported by R code running behind the scenes. However, for others to access and benefit from your work, you will need to think about where to deploy you application. In some cases, it may be convenient to deploy your work on directly from within RStudio either on the free or paid plans. There are, however, some limitations to this option. For instance, some apps may require various system dependencies not supported by …

How computers could help authors and editors make better decisions

The publishing industry can be tough and highly competitive. Only a small fraction of manuscripts actually get published via a publisher and fewer still become bestsellers. The majority of aspiring novelists will therefore have to get used to having their manuscripts rejected by publishers over and over again. For publishers, on the other hand, it’s easy to imagine that keeping up and sifting through a steady stream of new manuscripts may present a different kind of challenge. One that might sometimes be akin to finding a needle in a haystack.

In a time where the Natural Language Processing (NLP) field…


How leveraging NLP technology can help unveil what your customers are saying

Review sites and other sources of customer feedback offer companies overall ratings and computed scores to track their customers’ overall satisfaction. But these are essentially aggregated numbers that do not offer much help in identifying and quantifying specific strengths and weaknesses with regards to the customer experience.

On sites like Trustpilot, Tripadvisor, Amazon, consumers leave valuable data in the form of text letting businesses and other consumers know what they like and don’t like about a company, service or product. …

12-month performance of selected tech stocks

How you can create a web app that tracks your favorite stocks

Comparing the performance of many stocks in a single visualization can be time consuming. It is particularly tedious if you want to do this over and over again. With the help of R and Shiny, you can easily create and track a stock portfolio to see how individual stocks perform over time — all in one interactive visualization.

In this article, we will go through the process step by step and do the following:

  1. Gather stock closing prices for a given time period
  2. Create a simple user interface allowing the user to select the data to be displayed
  3. Define server…

Peer Christensen

I am a data scientist based in Copenhagen

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