What makes R Shiny so shiny? A step-by-step introduction to interactive dashboards in R
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Updated
Jun 5, 2021 - R
What makes R Shiny so shiny? A step-by-step introduction to interactive dashboards in R
European Sales Dashboard - A shiny dashboard for analyzing sales data by category, region, year, and country, with interactive visualizations.
This shiny dashboard provides an interactive visualization of bike collision data in London from 2005 to 2019.
Time Series Forecasting RShiny dashboard
A simple method of modularizing tabs in Shiny Dashboard for easy access and management.
Fraudulent websites detector built with nonparametric models
Multimodal AI Chatbot
RShiny dashboard for Visualization & Forecasting of time series data
An interactive dashboard supporting analysis of data relating to mental health care: RShiny, Dashboard Development
Anomaly Detection Web Application using Dynamic Ensembles and SHAP Explanations
Shiny Application analyzing crime at University of Chicago
An dashboard creation project for Capital Bikeshare based in the US.
Using three different datasets, obtained from three different places we built a dashboard that could be helpful for different people to identify what is the relationship between poverty (measured by the Multidimensional Poverty Index), communes, house pricing.
Report of a project concerning database construction, management and manipulation that uses various .xml and .csv files from open sources with semi-structured and unstructured data. The analysis is visualised by RShiny dashboard.
Bulk Upload multiple files and their validation in RShiny
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