London Transport By Day and By Night
I found an open data source of a survey of wonders that asked them to think about how safe they feel on different modes of transport during different times of the day (day/night). It was pretty interesting. There were also some interesting differences between responses of those who identified as gay as against others.
Data, Nodes, .py file and pdf result attached.
- London_by_Day_by_Night.pdf 368 KB
- london_funcs.py 1.33 KB
- London_by_Day_by_Night.ndbx 78.1 KB
- data.csv 17.9 KB
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Support Staff 1 Posted by john on 01 Apr, 2015 06:31 AM
Interesting, and a nice use of NodeBox.
I found it confusing to try to mentally overlay the bar differentials onto the donut averages. It would be easier if you could show both as donuts by making a two-ring sunburst: the inner ring for straight population and an outer ring for LGBT. This would make the two populations much easier to compare.
The other purely aesthetic change I would make would be to eliminate most of the vertical gap between day and night - just move the center labels or make them smaller amd maybe use a black horizontal dividing bar across the segments at the equator to clarify that these are two spectrums. The current large gap turns the circles into elongated race tracks; circles would be more natural for dividing up the 24hour cycle of a day (a clock metaphor), would make it a little easier to visually compare day vs. night, and would just look better.
Nice project!
2 Posted by Rory on 01 Apr, 2015 07:33 AM
Yes, it doesn't quite work does it? The bars are actually differences in answer rates. So the idea was to show how much more comfortable/uncomfortable LGBT people felt on public transport than the general population. The differences are actually very small, so two sets of donuts might not make much sense. But I have committed a capital offence anyway by not saying what the scale of the bars is, so the differences might look huge, but they are in fact small (not to mention with indeterminate significance!).
Thanks for your feedback!