Recent comments in /f/dataisbeautiful

Picksologic t1_j4pfoca wrote

I was very interested in your chart because it gave me a chance to think about how I would present it based on some of the feedback you got. Here is my version presented according to the three parameters.

https://postimg.cc/vgR1CqnH

https://postimg.cc/2bzqzq0P

https://postimg.cc/4nydBRqb

Edit: when I looked up the data I came up with slightly different numbers than you.

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MartinH t1_j4pcbgv wrote

Impressive dedication over ten years! Kudos!
What are the yearly totals?
Mine for 2022 was 930 but I also noted the number of “sneeze events” (385) and especially the number of time sunlight or other bright lights caused the sneeze.

I’m not sure of how to represent this as a graph.

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Zarasophos OP t1_j4p5say wrote

Hello everyone! I recently created this visualisation for a uni project and thought this subreddit might find it interesting. It represents connections between the world’s 200 largest airports. The circles are airports, with their colour based on the total number of seats in flights connected to them (also to airports not represented in the visualisation) and their size based on how the number of connections with them. The lines are connections between airports, with their weight based on the number of individual routes connecting two airports. The data comes from the World Bank and openflights.org and is sadly not very up to date: Flight data is up to 2014 and airport data up to 2019. The visualisation was created using Gephi and the Force Atlas algorithm.

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