Introduction Introducing the Updated {healthyR.data} Package: Your Ultimate Health Data Companion If you’re a healthcare professional or a data enthusiast, you’re probably familiar with the healthyR.data package. This R package has been an inval... [Read more...]

Introduction The code provided at the end of this post is an example of how to create a simple Shiny app in R that utilizes the OpenStreetMap (OSM) API to create a map of amenities in a specific location. The app has two main parts: the user int... [Read more...]

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Introduction The download.file() function in R is used to download files from the internet and save them onto your computer. Here’s a simple explanation of how to use it: Specify the URL of the file you want to download. Specify the file name a... [Read more...]

Introduction In this post, we are using a package called tidymodels, which provides a suite of tools for modeling and machine learning. Now, let’s take a closer look at the code itself and how we extract a model call from a fitted workflow objec... [Read more...]

Introduction This is a Shiny app for building models using the {tidyAML} which is based on the tidymodels package in R. The app allows you to upload your own data or choose from one of two built-in datasets (mtcars or iris) and select the type o... [Read more...]

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Introduction Shiny is an R package that allows you to build interactive web applications using R code. TidyDensity is an R package that provides a tidyverse-style interface for working with probability density functions. In this tutorial, we’ll ... [Read more...]

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Intruduction Reading in an Excel file with multiple sheets can be a daunting task, especially for users who are not familiar with the process. In this blog post, we will walk through a sample function that can be used to read in an Excel file wi... [Read more...]

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Introduction In this blog post, we’ll walk through how to create a shiny application that allows users to analyze the weekly returns of FAANG stocks (AAPL, AMZN, FB, GOOGL, and NFLX) using the {tidyquant} and {TidyDensity} packages in R. Sectio... [Read more...]

Introduction Hello! In this code, we are making a program that will help us predict the number of air passengers in the future. Let me explain what each part of the code does, step by step. First, we need to load some tools that will help us cre... [Read more...]

Introduction In this blog post, we will be discussing how to create a Shiny application in R that will download and extract data from a zip file and allow users to choose which data they would like to see presented to them in the app from a sele... [Read more...]