Nishith Sharma is the co-founder of frrole, a social intelligence startup. Raw data is boring and it’s difficult to make sense of it in its natural form. Add visualization to it and you get something ...

Data Visualization is a widely used technique for visualizing, analyzing, and presenting datasets using different types of graphs. It is an effective way to evaluate a large data set using pictorial ...

In the age of accelerated digital transformation, data is integral to day-to-day operations and long-term planning. To help transition innumerable data points into a more comprehensive narrative, ...

As augmented reality continues its march into the workplace, new tools are emerging to integrate collaboration and visualization tools into virtual and augmented reality. One application, which ...

The Global Data Visualization Tools Market is valued at approximately USD 6.58 billion in 2022 and is projected to grow with a robust CAGR of over 11.6% during the forecast period from 2023 to 2030.

Why visualization is critical in digital analytics. Visualization is critical in digital analytics. After all, visual representations of data can, for example, tell you at a glance how well your ...

Statistical analysis of clinical data is a major component of medical research. The 2 basic approaches to visualizing clinical data in databases and spreadsheets are to either buy add-ons to a ...

For data to be useful to humans, we have to be able to visualize it in a way that lets us understand the story it tells, and communicate it to others. Data visualization tools are constantly evolving ...

The Companhia Ambiental do Estado de São Paulo (CETESB) is the state’s environmental agency, responsible for environmental licensing, pollution control, and monitoring of air, water, and soil quality.

There have never been more technologies available to collect, examine, and render data. Here are 30 different notable pieces of data visualization software good for any designer’s repertoire. They’re ...

The practice of clinical medicine relies heavily on pattern recognition -- the ability to recognize patterns in the presentation of patient data and thereby formulate a diagnosis. The focus of a ...