Your Guide to Quality Data Science Products

Appsilon engineers Paweł and Pedro share their perspective on rstudio::conf 2020, especially news and updates about R packages...

Why stick to Excel and risk poorly maintained data or serious miscalculations? Discover efficiency gains brought by R Shiny and Python Dash

Climate change will exacerbate the consequences of natural disasters. Developing countries will be hit the hardest. We helped Dr. Junko Mochizuki build a decision support tool for policymakers in Madagascar to better mitigate this risk.

At Appsilon Data Science Consulting we advocate an exploratory approach towards utilizing machine learning to address climate change. We seek to inspire stakeholders fighting climate change by showcasing technologies

I used a Kaggle database to show how to separate customers into groups based on their purchase behavior.  You can customize your interactions with customers to increase loyalty. For R enthusiasts -- I used ggradar, ggplot2, animation, and factoextra

At Appsilon, we design, develop, and maintain enterprise R Shiny dashboards. These 6 best practices include tips for user adoption, architecture, and testing.

Is R Shiny better than Excel? Explore 8 Shiny alternatives to Excel, both for table data and data visualization.

AI will transform the insurance sector. Two techniques that will have the biggest impact are convolutional neural networks (CNNs) and recurrent neural networks (RNNs). The 3rd key to successful AI implementation: productionization

Appsilon Data Science offers R Shiny open source packages that you can use for UI improvements, UI themes, translation, URL routing, and diagnostic display

Data scientists must check if the story behind the data makes sense. This requires business knowledge about the data. It's our responsibility to be curious, to explore and challenge to avoid logical problems in the data to save clients money.

shiny.info is an open-source package that allows developers to display R Shiny diagnostic information - Here's how to use it!

Many real estate developers use online systems for sales. Things become interesting when all available data is monitored on a weekly basis, and sales progress is analysed.