Data visualization has grown more complex as the number of data points brought into the mix has increased. ... For example, the value “10,523 ... fix bad handoffs and take your automation from ...

We’ve all heard that Big Data is the future. But according to Phil Simon’s new book The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions, that may not be ...

1. Sources still matter. Data visualization algorithms can only work with what they’re given, which means the reliability of your data still matters.If you put bad data into a visualization ...

For example, a 3D visualization of customer behavior could reveal new ways customers interact with a web application, leading to the creation of more engaging features.

Truncated Y-Axis. One of the easiest ways to misrepresent your data is by messing with the y-axis of a bar graph, line graph, or scatter plot. In most cases, the y-axis ranges from 0 to a maximum ...

Cambridge, Mass. – October 16, 2013 – It's easy to spot a "bad" data visualization—one packed with too much text, excessive ornamentation, gaudy colors, and clip art. Design guru Edward ...

It's easy to spot a "bad" data visualization -- one packed with too much text, excessive ornamentation, gaudy colors, and clip art. Design guru Edward Tufte derided such decorations as redundant ...