I recently wrote a post about creating dashboards in R which was based on the Flexdashboard library. My largest criticism was the lack of communication between visualizations on the same dashboard. This was before I learned about the Crosstalk p...

I recently wrote a post about creating dashboards in R which was based on the Flexdashboard library. My largest criticism was the lack of communication between visualizations on the same dashboard. This was before I learned about the Crosstalk p...

Dashboards are a great way to demonstrate knowledge and engage decision makers. Their utility has made PowerBI and Tableau household names. And while these solutions do support R and Python scripts and visualizations, the Flexdashboard package s...

Dashboards are a great way to demonstrate knowledge and engage decision makers. Their utility has made PowerBI and Tableau household names. And while these solutions do support R and Python scripts and visualizations, the Flexdashboard package s...

Photo by David Clode on Unsplash The main advantage of using the R Markdown format is the utility of running R code within the text. This is clearly more advantageous than just writing code in a Markdown file. R Markdown is however limited to ...

Photo by David Clode on Unsplash The main advantage of using the R Markdown format is the utility of running R code within the text. This is clearly more advantageous than just writing code in a Markdown file. R Markdown is however limited to ...

Photo by Maarten van den Heuvel on Unsplash This article is based on a project written on 01/14/2021 Bike Rental Shiny App This application use the data collected from the Toronto Open Data to generate a histogram of the usage of rental bik...

Photo by Maarten van den Heuvel on Unsplash This article is based on a project written on 01/14/2021 Bike Rental Shiny App This application use the data collected from the Toronto Open Data to generate a histogram of the usage of rental bik...

__ Photo by Clint Patterson on Unsplash Recently I had updated my RStudio client and with it came a new update to R. This is an exploration of some of the most interesting changes from R 4.0 to R 4.1. Native Pipe Function Due to the extreme p...

Photo by Sepideh Golchin Rad on Unsplash This project was originally written on 02/01/2021 as part of the Data Products course for the Data Science Specialization from Johns Hopkins University on Coursera Objective This report plots the spe...

Photo by Juan Gomez on Unsplash Introduction As a continuation from my previous post exploring the use of the Stargazer library to create better looking tables, I thought I would look into the GT library. The GT library takes a different approach by creating an object class with the GT ...

Recently, there was a post on medium about the use of Natural Language Processing (NLP) to study a job posting for keywords. I found that this article was very similar to R shiny App that I created a while ago. 1 Introduction Technology has cha...

The original paper was written on 12/18/2020 Executive Summary This report analyzes collected data on different users preforming barbell lifts performed at different levels of quality. A machine learning algorithm was used to create a model t...