I can’t play chess. My brain is just not compatible with it. But I love solving chess etudes.
Data literacy is more important than chess. Especially now, when everybody is trying to give their optinion more weight by referencing some (random or not so random) study with some solid-looking graphs.
It is easy to use data to fool other people and it is easy to fool ourselves, by reading the data wrong. That’s why everybody should learn to read data.
Today I want to show you a beautiful data visualization that is simple enough to be used as an etude:
Take your time to answer the questions:
- Where are the outliers (values different from their surrounding) or what other insights you can get from it?
- How can it be possibly explained?
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This is what I could see in the data:
- Summer and early Autumn are more popular for weddings in England (probably because of the best weather).
- February 14th is also popular, being Valentines Day.
- Christmas and New Year holidays are naturally unpopular.
- The 13th of each month is much less popular than other days.
- The most popular days between July 28th and September 1st are about 7 days apart from each other. I am too lazy to check, but these might be the most often weekend positions during 1999-2019.
See also the original post on Reddit with further discussion: https://www.reddit.com/r/dataisbeautiful/comments/1dcpz5l/when_do_people_get_married_oc/