Recently, quite a lot of people bragged about how 2016 was a terrible year that stole many great people from us. They are right, but actually not completely. Let’s take a look at the whole picture.
Of course, we can argue about whether loosing Alan Rickman and Carrie Fisher last year was worse than loosing Lemmy Kilmister and Leonard Nimoy in 2015 or Elizabeth Taylor and Peter Falk in 2011. You know what? All that was sad.
So we focused more on the big data perspective.
Wanna see more?
In 2016, worldly famous people died.
Among them, there were:
… actors
… singers
… writers
…and of course a plenty more.
Was 2016 really that much different from the previous years? Or did we just forget?
Let’s compare year 2016 to
…and always look on the bright side of life.
What happens when a data analyst and a programmer don’t have any plans for the New Year’s Eve? A private hackathon!
We gathered data from Wikidata, refined them, argued about how to visualise them, argued few times more and then finally visualised them. Both of us know this is just the first step and we plan to add more data. In the future we would like to add some new categories of dead people (directors, politicians, maybe even sportsmen) and extend the informational potential of the vizualization by adding causes of death or some other visualizations. Perhaps we will focus just on the Czech Republic and create a local mutation with local data.
Actually, you can help us to do so. In the source spreadsheet you can add “cause of death” or e-mail us with your feedback.
The source code is available on GitHub.