Astronomical data does not always use Cartesian coordinates. Both all-sky observational data and simulations of rotationally symmetric systems, such as accretion and protoplanetary disks, may use ...

This pie chart illustrates the distribution of visualization tools in the FigureYa resource package across three dimensions: research type (outer ring), analysis method (middle ring), and output ...

On this third episode of Ropes & Gray’s Insights Lab’s four-part Multidimensional Data Reversion podcast series, Shannon Capone Kirk and David Yanofsky discuss the crucial steps in the iterative cycle ...

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...

As technologies mature that can monitor many parameters simultaneously on single cells, visualization of the resulting data is becoming a bottleneck. One may be able to label heterogeneous cellular ...

Imagine tapping into a raw data feed from a distributed network of IoT devices in a logistics center. The center is full of robots, employee work stations, and shipping and receiving docks. The data ...

Developers, always seeking new techniques to enhance their applications and provide meaningful insights to users, might want to consider the power of geographically visualizing data. As businesses ...

Data visualization is the front line of data analysis. It involves presenting data in a way that is understandable and useful. In this article, we delve into one of the most potent tools for data ...

The ability to visualize data, their relationships to one another and connections to business objectives gives organizations the power to uncover insights that would otherwise elude them Data ...