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loop over database tables using dynamic SQL via R, and and display results in shiny app
https://vaterstetten-in-zahlen.de is an open source project whose goal is to collect and visualize publically available data about the municipality of Vaterstetten.
What makes R Shiny so shiny? A step-by-step introduction to interactive dashboards in R
Code and Shiny App to Generate "Entries into Final 3rd" Soccer viz. (StatsBomb event data).
Reed College CO2e Emission Analysis and Dashboard
R Dashboard that provides insights on questions asked on the Crime Surveillance System - Survey. The questions are based on how communities feel about crime related to arson, common assault and possession of deadly weapons. Additionally, on how the implementation of smart surveillance systems would help in detecting the crimes mentioned in real-time.
A talent pipeline is defined as a ready pool of potential candidates who are qualified and prepared to step up and fill relevant key roles within the organization as soon as they fall vacant. This on-hold talent pool can include internal employees who show promise and can be promoted from within the organization as well as candidates from external sources like referrals, online job portals, career web-pages. A pipeline of both active and passive candidates helps in perceptive and proactive workforce planning. With a ready pool of right talent, the cost and time to hire can be reduced considerably. Organizations today, in spite of operating in a largely candidate-led market, do not have the luxury to wait for candidates to take the lead and apply. They need to have prospective candidates prepared – the machinery all wound up and ready to be set into motion - before the need arises for them to fill in a role.
This flexdashboard showcases the coal and lignite production in India for the year 2019-2020. It includes visualizations of the top coal mine owners and top producing mines.
Data Mining Web Application to Identify Anomalies in Public Procurement Rating Parameters
A projected aimed at understanding how resources vary in Northern Cape cities or towns to make decisions that influence policy amendments
Here you can find and analysis of the tourism of Spain since 2001.
This is Loan Robinson Github Page, which includes all tutorials for education purpose.
A business intelligence application that I built for client. This application is targeted to user with no statistical background.
Human resource has become one of the main concerns of managers in almost all types of businesses which include private companies, educational institutions and governmental organizations. Business Organizations are really interested to settle plans for correctly selecting proper employees. After hiring employees, managements become concerned about the performance of these employees where management build evaluation systems in an attempt to preserve the good performers of employees. Using data mining techniques we are trying to predict an employee's performance band based on their historical evaluation and performance reviews.
Created an R-Shiny web application to analyze trending YouTube data.
Rshiny Dashboard
This is an interactive map that integrates the location of the top recreation sites around Victoria, Australia with the Air Quality index in each suburb. Allowing people to choose a perfect recreation spot based on the quality of the air
😷 a user-friendly COVID-19 dashboard written for Shiny, featuring on-the-fly map switching and digestible summaries
Create a sales dashboard in R shiny that can be customized by users with some cool features and graphs
A simple method of modularizing tabs in Shiny Dashboard for easy access and management.
This is a project to apply my knowledge in Data visalisation and R-Shiny web app
This project aims to analyze the dashboard for Foodpanda Restaurants in ASEAN countries. This dashboard contains a few parts including home, customer preferences, ASEAN tastes, delivery insights and rating analysis. This R Shiny dashboard was created by using the R programming language.
This repository houses the thesis project for my Bachelor's degree in Computer Science and Econometrics. The project includes three main components: Shiny App, Shiny Dashboard and RMarkdown File.
Regression analysis Dashboard using RShiny (longley economic dataset)
This application provides Google search insights on South African universities and online learning technologies
Web-based Clustering Application Using a Shiny Framework for Determining Student Engagement Levels in Virtual Learning Environments
A dashboard for visualising the epidemiological parameters stored in the epiparameter package.
A Dashboard created using R and RShiny to visualise the Crimes in Boston (2015-2018)
R Shiny Dashboard that provides a global snapshot of social, economic, environmental world indicators, statistics and issues, with animated and interactive Plotly/ggplot charts.
Hosting R-Shiny apps via Github-Pages by making it work clientside with 2 lines of code!