r-shiny

A R package for Bootstrap Components to make Landing Home Pages for Shiny 🌐

LCARS aesthetic for Shiny

R Shiny application for interactive analysis of networks created by vosonSML.

R package to visualise interactively hierarchical data.

《名侦探柯南》B站弹幕浏览器

Using trakt to graph show data and such. The on-it's-way-out incarnation of trakt.jemu.name

This repo contains the code for my postgraduate thesis dealing with Short-term Load Forecasting, predicting the electric load demand per hour in Greece, developed in R, RStudio, R-markdown and R-Shiny using daily load datasets provided by the Greek Independent Power Transmission Operator (I.P.T.O.). A presentation of the thesis' results can be found at the following website:

Tutorial: How to deploy an R Shiny App on Heroku

What makes R Shiny so shiny? A step-by-step introduction to interactive dashboards in R

This repository contains the code and methodology for building a recommendation app to recommend listings to users based on experiences of other similar users.

Code to create Next and Previous arrow in a tabBox in Shiny Dashboard

Guide to desktop app creation using R Shiny and Electron

Scripts for exporting spreadsheets or tab delimited files containing lexica to SFM file.

Computational Statistics with R

A workshop, 'Open data and reproducibility: R Markdown, dashboards and Binder', led by Pablo Bernabeu and Eirini Zormpa at the UK Cognitive Linguistics Conference (https://www.ukclc2020.com/pre-conference).

Using 311 NYC Open Data to analyze what New Yorkers complain about.

🐳 A Docker image for an R Shiny server with username + password authentication 🔐

A simple guide of R Shiny to analyze, explore, and predict bike-sharing registrations.

Step-by-step instructions on how to set up a virtual machine for Data Science usiing Cloud Infrastructures

A simple R Shiny Electron app that generates random color combinations

Create executable files to run shiny apps directly in your browser

Web Accessibility in Shiny

This is an R-Shiny web application that can be used to visualize, analyze, and explore data contained within RiverWare *.rdf model outputs.

First year student project, IUT2 STID Grenoble: Analyse the behavior of Minecraft players to improve Tuubes

An R Shiny application for processing binary data from fragment analysis methods such as ISSR and AFLP.

R Shiny app: Research Evaluation of Faculty

R-Shiny App for the Kaggle Data Science Survey 2017 ( with Salary Estimation )