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.
-
Updated
Jun 2, 2024 - R
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.
A simple method of modularizing tabs in Shiny Dashboard for easy access and management.
A dashboard for visualising the epidemiological parameters stored in the epiparameter package.
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.
This is Loan Robinson Github Page, which includes all tutorials for education purpose.
Hosting R-Shiny apps via Github-Pages by making it work clientside with 2 lines of code!
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.
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.
Regression analysis Dashboard using RShiny (longley economic dataset)
Reed College CO2e Emission Analysis and Dashboard
A Dashboard created using R and RShiny to visualise the Crimes in Boston (2015-2018)
This is a project to apply my knowledge in Data visalisation and R-Shiny web app
Data Mining Web Application to Identify Anomalies in Public Procurement Rating Parameters
This application provides Google search insights on South African universities and online learning technologies
A projected aimed at understanding how resources vary in Northern Cape cities or towns to make decisions that influence policy amendments
Web-based Clustering Application Using a Shiny Framework for Determining Student Engagement Levels in Virtual Learning Environments
R Shiny Dashboard that provides a global snapshot of social, economic, environmental world indicators, statistics and issues, with animated and interactive Plotly/ggplot charts.
Add a description, image, and links to the rshinydashboard topic page so that developers can more easily learn about it.
To associate your repository with the rshinydashboard topic, visit your repo's landing page and select "manage topics."