Shiny brings R to the web with the perfect combination of flexibility and
simplicity. Web apps that traditionally would have taken months to build can be
completed in days. Typical app features include:
Filters to drilldown on subsets of data
Plots, tables, and other output to summarize data
Customized report generation (HTML or PDF)
Data entry and management
Predictive modeling, machine learning, and beyond
Example Shiny Apps
This app was built for Axion Biosystems new Maestro Z device for analyzing cell biology. The app has a mobile first design. Data is collected via an https API that uploads data from Maestro Z devices distributed across the globe.
T3 (Tychobra Time Tracker)
A demo of our internal app for tracking our consulting time by client and project
View insurance claims at different points in time. Filter claims by state and
claim status. Analyze frequency,
severity, and changes in claim values over time. Download the claims
for further analysis on your computer.
Model that predicts insurance claim status and payments.
It includes predicted values and the actual values for comparison.
It can be adapted to any line of business and expanded to predict ultimate payments.
Frequency / severity claims simulations using various probability distributions. The
simulations can be used to provide confidence levels for ultimate loss amounts and
value excess policies at different retention limits.
Simulations bootstrapped from historical claim values after applying trend and development.
Results can be used to develop loss picks and compare excess policies. Download a report
when you are finished.