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Jorge Camoes

Tufte likes it ("Brilliant news graphic by Amanda Cox")...


I think it's ok. I think you have sort of assumed that a bad year will co-relate with bads days. Looking at the chart I think that after a bad year the daily fluctuation increase. The density should be equal? - one line per day no?
It reminders me of a ECG readout plotted over tidal volume bar?


It should be possible to represent the density of lines that are too close together to distinguish, by using gray scales. The lines appear to be about one month in width, so you want about 30 levels of gray for maximum precision (~30 days in a month). If only a few gray levels are available, that would still be an improvement over black/not black.


When I saw the chart, I had no problems with it. My immediate interpretation was that they gray lines were a way of depicting volatility to an audience that may not have an as intimate understanding of the concept as readers of this blog.


It's not bad at all. That doesn't mean it couldn't be even better.

Re: my previous suggestion of gray scales, an alternative would be to abandon lines altogether and have dots instead. Thirty dots per month would show the distribution nicely.

But removing the lines would probably mask the monthly volatility: the eye would naturally connect the outlying dots with each other across months, instead of with the inlying dots in the same month. Also, the inlying dots would probably be dense enough to still mask each other from overcrowding.


It's not about whether this graph is good or bad. It points out a difficulty with density of lines, dots, etc. If the annual color blocks were not available, one would use the gray lines to form a judgement as to how the overall index would be doing. This would lead to mostly wrong inferences is the point I'm trying to make.

So it is to their credit that they provide both daily and annual data series, allowing us to observe the relationship between the two!

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