I’ve spoken in some detail about what Sift Science does in my previous post. As a quick reminder, Sift Science helps e-commerce businesses fight fraud using the power of machine learning and predictive analytics. They collect diverse data, glean signals from it, and assign a ‘Sift score’ to every user which predicts how likely it is that a particular user is a fraudster.
Over the past few weeks we’ve been discussing predictive analytics at length. We started with an overview, and then went on a tour of 9 unique businesses that are leading innovation in predictive analytics. So far, we’ve just set the stage for this and the next post, where we take a focused look at the visualization methods and concepts used in predictive analytics products today.
The Line and the Area chart look very similar. They even facilitate the same kind of analysis yet they cannot be used interchangeably. A line chart connects discrete but continuous data points by using straight line segments. It is effective in facilitating trend analysis. An area chart does the same except that the area below… Read More »