Visual analytics for data scientistsSarah Battersby
Integrate KeyLines to add visual analytics Typically, users embed KeyLines into a web application to create an interactivegraph analyticstool. We can do the same with Jupyter Notebooks because, although it’s designed for Python, it supports JavaScript too. This gives data scientists advanced graph...
A low-code, no-code environment for data experts. An Environment that Lets Data Scientists Focus on Data Science To take a project from start to finish, the modern data scientist touches dozens of technologies, and, even still, often relies on IT to help deploy their models. ...
What visual analytics can do for you Get the whitepaper What's really going to make big data go mainstream is the ability to connect not just with data scientists and technologists but business people. And absolutely one of the keys to that is visualization, is being able to show people—...
As the need for data-centric scientific tools grows, scientists are increasingly adopting computational approaches. DIVE (Data Intensive Visualization Engine) was developed to help scientists deal with big data. DIVE is a data-agnostic, ontologically expressive visual-analytics software framework that can...
Our community brings together developers, data scientists, analysts, and tech leaders from around the world who share a passion for AI, computer vision, data quality, machine learning and more.Engage with industry leaders, access exclusive resources, and be part of a supportive network that's dri...
Visual Analytics• Physical Sciences and Engineering → Earth and atmospheric sciencesThe analysis of ocean and atmospheric datasets offers a unique set of challenges to scientists working in different application areas. These challenges include dealing with extremely large volumes of multidimensional data,...
unbounded visual analytics experience. Analysts and data scientists can interact with conventional charts and data tables, as well as massive-scale scatterplots and geo charts created byHeavy Render. They can even hand write SQL queries, should they desire, and creating new dashboards and charts ...
Experience the real-time dynamic nature of visual analytics, allowing for flexible data manipulation and iterative exploration to uncover meaningful insights.
By incorporating automated machine learning techniques, the team plans to more actively capture user interactions with the data. Scientists would label data samples, and built-in artificial intelligence algorithms would then identify, label and compile similar patterns in unseen sections of the data, en...