When it comes to visualizing data, there is no shortage of charts and graphs to choose from. From traditional graphs to innovative hand-coded visualizations, there is a continuum of visualizations ...

Data visualization is a technique that allows data scientists to convert raw data into charts and plots that generate valuable insights. Charts reduce the complexity of the data and make it easier to ...

Despite the chant that correlation is not causation, some researchers believe the design of scatter plots nudges us to the wrong conclusions. Can a change in their design lessen that risk? Analyzing ...

Yes, I said it! So many of you are going gaga by visualizations; so blinded you forget the real reason for the work: Business Value. Some of you might even participate in contests of who can make the ...

As the father of exploratory data analysis John Tukey once said, "The greatest value of a picture is when it forces us to notice what we never expected to see." That quote rings true in many aspects ...

Data visualization is one of the most important tools we have to analyze data. But it’s just as easy to mislead as it is to educate using charts and graphs. In this article we’ll take a look at 3 of ...

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 ...

High-dimensional data pose a significant analytical and representational challenge. One instinctual response has been to represent data in three-dimensional (3D) space in order to capture additional ...

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 ...