https://salankia.shinyapps.io/satRday2016DataViz/
This Dashboard was a part of a visualization challenge called SatRdays, a part of a regional Europoean Conference (http://satrdays.org/).
As an introvert, there may be several factors that influence decisions you make when you travel.
This dashboard has a couple of different visualizations to help the traveling introvert guarantee that he or she will have the least amount of crowd interaction. The designer has highlighted 3 main areas where one may encounter crowds when traveling through airports (direct flights from Belgium):
- traffic to connecting airports
- utilization of planes
- seasonal impact to travel
This data could also could be useful to anyone interested in optimizing travel time.
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(entire viz cannot be seen in screenshot, visit: https://salankia.shinyapps.io/satRday2016DataViz/ for the complete view)
Images didn’t insert into the blog, use link below to view:
https://salankia.shinyapps.io/satRday2016DataViz/
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This dashboard presents a lot of data. As a user, I can pick an airport that is less crowded, cross check my selection with plane utilization, and then see how seasonality would further impact my trip. The data is separated on different tabs and filters can be made independently which allows for independent analysis. The user is presented a lot of good information that could help influence decisions, such as average number of people on planes leaving Belgium as well as trends to destination cities from Belgium.
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It is up to the user to keep track of all selections. A way to improve this would be if filter values (or user choices) were global—if one selection is made, it changes everywhere.
For example if I made a selection on the connecting airport tab then it should show me corresponding utilization.
The data could be shown all on one tab, displaying all data at once providing the user with all the information at once in one place. The user wouldn’t have to keep going between tabs.
The designer also could also be more consistent with color, it is hard to tell just by looking – it looks like it is based on value, but assigning color to specific countries might make values easier to spot even if the layout of the data is different.
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Taking this a step further looking at traffic at origin airport (Belgium) , terminals, airports and additional factors could be examined for crowd factors.