Until now, the Shiny app we created has all the HTML in the UI. On top of that, we have repeated code that we can stick into a function to make the app smaller and to be able to test the functions we are creating. Here are Part 1 and Part 2 ...

I participated in the R Shiny 2021 contest and published an application similar to the Google Analytics dashboard app. For that, I used the Google Analytics API and the Google Search Console API to pull my own data from my blog directly into the application. The application uses the shinyauthr library ...

In this blog post, we will be exploring how I answered a question that got me my first job as a data analyst. It was an open-ended question and was supposed to be answered in a casual/theoretical way. The question was “How would you collect all cities in Qatar ...

In April this year, I will have used R Shiny for a year. I am coming from a statistics background and the first programming language I learned was R and then Python. I am using R Shiny almost every week at work and I am amazed by how powerful it ...

Last tutorial, we built a Shiny application where the user can add, delete, and edit specific row. Today we want to integrate a remote MySQL database for persistent data storage. When the user changes the anything of the table, the results are send to the MySQL database and will be ...

In this tutorial, we will be predicting housing prices based on their descriptions. We will be using natural language processing, NLP, to build a machine learning model. We will be using bag of words with column vectors of ones and zeros. If you want to reproduce the analysis or check ...

gtsummary is a great package for doing summary statistics tables in R. The package has a lot of functionality and I like the flexibility of the package. Doing summary statistics tables with this package is very easy and I like this package almost as much as the arsenal package. Almost ...