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It's an interesting book with some really interesting examples (good and bad). I also recommend looking at it. But the central premise the text presents is "ma
by quietbritishjim 3y ago
It's an interesting book with some really interesting examples (good and bad). I also recommend looking at it.
But the central premise the text presents is "maximise the information to ink ratio", which sounds very reasonable but is fundamentally flawed. The problem is that quantity of ink (or, on a screen, number of black pixels) is not the same as visual complexity. By the time your brain is interpreting something visual, it has done edge detection, grouping, and other preprocessing.
He gives an example of shortening the axes on a scatter plot to show the range of data, rather than intersecting at the corner. This is win-win because it uses less ink but shows more information. But, when I look at the comparison, it's just obvious that the modified version is visually more complex. It would be especially worse on a complex page with text and a few plots next to each other – the fragments would all visually bleed together.
One mitigation to that sort of complexity is to put boxes around large district elements, like an entire plot. But boxes are Tufte's absolute nemesis, in that book and elsewhere. It's surprising that after so many years looking at visual displays he still has that attitude.
- 3abiton 3y agoDo you have alternative book recommendations?
- quietbritishjim 3y agoAfraid not. I only found out about Tufte's book due to a mention in xkcd. Until Randall mentions another book about plots I'm not likely to find one :-) It would be nice to find someone like Tufte that gathered some actual evidence. Like, trying different plots on groups of people to see which find information faster, maybe using eye tracking. Even just subjective surveys might be an improvement on one person's opinion.
- stiff 3y agoWilliam Cleveland did some research along those lines and he wrote two good books: - The elements of graphing data - Visualizing data The first one is of general interest, the second one more specialized for statisticians.