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What if you need to find a specific element in a dataset? There are a lot of options to do that in R, but in datasets with few million rows or more, it may be extremely slow. Brief comparison of different lookup methods, that can be used to improve the...

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What makes Shiny such a wonderful framework is the fact that it's easy to prototype a solution for almost any data science problem. But in our day-to-day work we are constantly challenged to do more that is currently possible in Shiny by default. Recently our CTO Marek Rogala spoke about...

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It's always a challenge, when developing Shiny apps to create a user interface that is not only acceptable, but rather an exceptionally good looking one. Although Shiny is amazing framework it lacks a set of tools to improve both user experience and interface, like...

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The time has come to release the first of our internal tools used when developing Shiny apps for our customers. In just few simple lines of code added to your project you get handful router that allows to recreate state of your app.

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Last week our CEO, Filip Stachura, gave a speech at the EARL conference in Boston titled “Rapid shiny development to blend experts knowledge into machine learning models”.

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Popular data science meetup groups in Warsaw include over 1000 members, and its events and afterparties are amazing opportunity to meet new, interesting people working with data in various industries. That also means we already have a significant source of valuable informations full of undiscovered insights.

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Appsilon Data Science Blog

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