1. Differentiate netflix/itunes by color or marker.
2. Find a better way to show density. Messing with the opacity would help, as would contrasting colors. Nothing fancy like 3D, just a way to convey the density of points.
3. K nearest neighbours is counter intuitive at first. A better layout/ui could have been that when you hover over a point, it shows up to the right as one big poster, without any neighbours.
You have good data that is trapped in that scatter plot.
1. Does "hover and update only one poster at a time" right. If goodfli.ms had built there website as something that communicated via json instead of HTML, I would have rolled this sort of page into the graphic as well:
2. Attempted to make a visual difference between netflix and itunes. I couldn't figure out how they determined whether something was in itunes, so the colors are more of a proof of concept than anything meaningful.
3. Rolled out a trick using fisheye distortion to allow people to explore density spatially via their mouse. To learn how it was done, think about how this works:
1. Differentiate netflix/itunes by color or marker.
2. Find a better way to show density. Messing with the opacity would help, as would contrasting colors. Nothing fancy like 3D, just a way to convey the density of points.
3. K nearest neighbours is counter intuitive at first. A better layout/ui could have been that when you hover over a point, it shows up to the right as one big poster, without any neighbours.
You have good data that is trapped in that scatter plot.