Michael Grogan is a data science consultant, with a profound passion for statistics and programming. He regularly utilizes programming languages such as Python, R and SQL to analyze a wide range of datasets, and also explores aspects of web development in designing interactive web apps for data science analytics. Find him at michaeljgrogan.com.
Michael explains how to use a Python API to connect to Twitter, and download tweets, follower lists, multiple tweets at once, and customize searches.
Michael Grogan explains how to link the UI and server side in a Shiny app, customize Shiny themes, and implement error messages to guide end users.
Michael Grogan explains how to install programs in Linux using terminal commands.
Michael Grogan looks at the commands used to build an application in Shiny — both on the UI (user interface) side and the server side.