Interactive Visual Analytics Demos
With OmniSci's immersive analytics platform, deriving insights from massive datasets is now an interactive experience. See for yourself.
Interactively explore the COVID-19 pandemic, filtering across location and time. Visualize the spread of the virus using maps and charts, compare the growth of cases across various countries and US states, and analyze the recovery rate in various regions of the world. This demo includes data from Johns Hopkins (https://coronavirus.jhu.edu/) and is updated daily.
Track ships through US coastal waters using a distributed cluster of the OmniSciDB, featuring over 11 billion rows of AIS (Automated Identification System) telemetry data, courtesy of the U.S. Coast Guard. Gain insights into the navigation patterns of shipping traffic around major US ports, or see how fishing boats follow the seasonal movement of their catch.
The coronavirus and shelter-in-place (SIP) orders have changed how businesses must operate and complicated existing cross-promotion marketing efforts. In this demo, explore 3.7 billion records of user behavior data, courtesy of our partner Safegraph, to analyze trends and the businesses people visit the most both before and after SIP.
Uncover insights about the American people and workforce on 38M+ rows of 2000-2015 US Census Bureau American Community Survey (ACS) Public Use Microdata Sample data and US Census ACS Data with 400+ columns. The ACS helps local officials, community leaders and businesses understand the changes taking place in their communities.
Explore every taxi ride in NYC over a 7-year period with this NYC taxi data visualization, constituting 1.2 billion trips, joined to the building footprint of every store within 30 meters of a pickup or dropoff. Commercial point-of-interest (POI) data courtesy of Factual.
Interactively explore a US oil and gas dataset from UpstreamDB covering nearly 256 million well production records from nearly 1.3 million wells, spanning 20 years of well performance. Analyze production decline performance, correlations, rate of change and compile formation-based type curves in seconds.