An interactive tool to understand the value of U.S. overseas security commitments.
Demonstrates the dynamics involved in a susceptible, infected, and recovering (SIR) model of flu season.
Explore several basic statistical distributions, with variable number of observations, optional density estimation, and data download.
Given a set of financial and nutritional constraints, creates a weekly meal plan to minimize cost, calories, fat, sugar, or sodium.
Real estate analytics, prediction modeling and forecasting for over 20,000 U.S. real estate markets.
Explore the economic and geographic impact of shale oil and gas discovery/exploration in the United States.
Make 3D graphs of mathematical functions. Select a function from the list of functions provided, or enter your own function.
Disease monitor, in routine use at the French national public health agency. Disease mapping, statistical alarms and dynamic charts.
Experiment plotting different types of graphs by simply clicking your way through options, with code generated automatically.
Pi can be approximated, for large number of simulated points, as the ratio between the number of points inside the circle and the total number of points inside the square.
Compare genetic maps according to their key statistics and the relative positions of common markers.
ggplot2 graphs, mostly from \”Creating More Effective Graphs\” by Naomi Robbins, with visual overview and ability to put graph and code side-by-side
This is a profiler of hackers for people participating at hackathon. The goal is to facilitate teammate discovery.
This app implements a simulator for the Central Limit Theorem (CLT) based on the example of the age of euro coins.
Dashboard to view future projections for reservoir and stream conditions within the Colorado River basin.
Compare climates from around the world based on NOAA temperature and precipitation data for the past 50 years.
App performs Monte Carlo analysis of Manning’s equation for open channel flow. User input ranges for input variables using slider bars and the app demonstrates the resulting distributions of flow and intermediate computed variables.
Thematic maps of healthcare professions by state, using data from the US government Bureau of Labor Statistics database.
drinkR, estimate your Blood Alcohol Concentration (BAC) over time by entering drinks with time stamps.
A simple web application that will allow you to calculate a sample size to estimate a mean or a proportion.
This web-based app helps you to evaluate screening tool by calculating various diagnostic efficiency statistics.
Explore demographic indicators for all countries published by the UN Population Division in the World Population Prospects 2015.
A Shiny app in Danish showing how the Danish municipalities and the Danish government uses funds for cultural subsidies.
Simple way of eliciting a prior distribution, asking about the likelihood of an event under the prior distribution, and then returning an updated probability distribution.
App to assist state and local air quality agencies in completing their 2015 five-year air monitoring network assessment.
Link ggplot2 plots to Plotly to create interactive, web-based plots drawn with D3.js and rendered with Shiny.
Display and predict blue mussel (Mytilus galloprovincialis) spat over-settlement in green-lipped mussel (Perna canaliculus) farms in New Zealand.
Plot the distribution of English letter frequencies of input text, and optionally show a reference distribution.
Look up snowfall records by ZIP code to see the date of first snowfall each year, and the distribution of those dates.
Tool designed to aid the visualization, analysis and exploration of biomedical terms that were published in 2016
Cycle Routes, cycle bays & cycle accidents in the Leeds (UK) areahttps://www.showmeshiny.com/wp-admin/media-upload.php?post_id=1184&type=image&TB_iframe=1
The Sales Analytics Dashboard uses Shiny to monitor simulated bicycle sales for a bicycle manufacturer, Cannondale. The app is designed to showcase d3 graphics capabilities and R programming for organizational data visualizations to assist in executive decision making.
Interactive calculator to illustrate the power of a statistical hypothesis test for a two-sided symmetrical test.
Predict monthly non-farm payroll numbers based on a distribution collected from tweets with the hashtag #NFPGuesses.
Dashboard performs sentiment analysis of tweets on some of the main data science hashtags and visualizes results.
Choose an artist, and see plays per day of their most popular songs throughout 2013 on CD 102.5 FM in Columbus, Ohio.
Aquesta aplicació permet als usuaris explorar de manera interactiva la composició de la població resident a Catalunyal\’any
Generates binomial confidence intervals using the Length/Coverage Optimal (LCO) algorithm by Schilling and Doi (2014).
Interactive lessons in applied statistics: frequency tables, intervals, centrality measures, percentiles, correlation, etc. (in Spanish).
Simulate natural selection of genotypes and alleles over multiple generations, with customizable fitness levels.
An interactive visualization of Joseph Heller’s novel Catch-22. Explore locations, character mentions, character co-occurrence and clustering.
ODE models of disease dynamics, allows for births and deaths, latent periods, and seasonal fluctuations.
Allows users to visualize spatial and spatio-temporal disease data, estimate disease risk and detect clusters.
This app visualizes the effect of the so-called “DieselGate” on stock returns of German car OEMs (VW Group others).
Explore data about number of cancer cases and deaths for different types of cancers over the years in the US.
Download the expression and sample data from a Gene Expression Omnibus dataset, select a gene of interest, and perform a survival or differential expression analysis
Federated SPARQL queries to collect statistical data from different endpoints, generates and stores analysis and visualisations.
Returns information about visual content found in an image. The algorithms use tagging, descriptions and domain-specific models to identify content.
The app uses a K-nearest neighbors algorithm to classify heart disease data available at the UCI repository.
Compare different smoothing models in forecasting, namely simple exponential smoothing , linear exponential smoothing and Holt-Winter method
GoWvis represents any piece of text inputted by the user as a graph-of-words and leverages graph degeneracy and community detection to generate an extractive summary (keyphrases and sentences) of the inputted text in an unsupervised fashion. The entire analysis can be fully customized via the tuning of many text preprocessing, graph building, and graph mining parameters.