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Databeers Dub #3 - Diarmuid Ryan - Data Den
1. DATA DEN
October 2017
Secret
commentaries in
speaker notes.
Safety Notice
May contain small bones.
All opinions are written by wild animals and are not shared by their gamekeeper.
Safety Notice
May contain small bones.
All opinions are written by wild animals and are not shared by their gamekeeper.
2. To start with a happy accident
it turns out that music tastes
not just shape language
but create it
as for driving…
accidents were reduced by roundabouts
and with more quality data
can surely be reduced further...
when it comes to accidents in health...
where religiosity might play a role in outcomes...
whilst atheists seemed preoccupied with other matters.
weather and hurricanes
advanced on the us
wreaking widespread accidental damage
totaling billions of dollars
almost as devastating as katrina
and surely as unwelcome
despite trends suggesting increasing damage and frequency from weather events...
climate change skepticism continues to eat away at research
threatening to pour
cold water...
on a hot topic…
still... we’re all in this together
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Editor's Notes
October 2017 Issue. Public Edition.
Each Data Den is a secret lair for you and those you catch. I hope they can run.
Find our past hunts at: http://goo.gl/t3CkCX
We focus so much on averages that it’s refreshing to see researchers exploring the extremes of a dataset.
Source: https://public.tableau.com/profile/curtis.harris#!/vizhome/SpotifysBiggestOneHitWonders/SpotifysBiggestOneHitWonders
This personalised insight service from Spotify genuinely made me switch my previous music provider. And yes - I love electro-swing.
Source: http://spotify.me/en-GB
Gif: http://g.recordit.co/pPXoTQnGRr.gif
Unsurprisingly, “Bro” and “Homie” skew heavily towards Hip Hop. “Sea” and “Mountain”... not so much.
275,905 songs (about 47 million words) spanning all music genres
Here’s all the words we measured. Dots farther to the right are more popular in hip hop. Dots farther up-top are popular in other genres.
Using search data, Polygraph explored the reasons behind the emergence of new language.
Source: https://pudding.cool/2017/02/new-slang/
Some fascinating insight into behavioural planning for road design.
Source: https://www.wsdot.wa.gov/Safety/roundabouts/benefits.htm
A huge dataset of traffic collisions in the UK from 2000-2016 was uploaded to Kaggle - the 3D rendering on this contribution is stunning (in the high definition link below).
Sources: https://imgur.com/a/5nu25
https://www.youtube.com/watch?v=bGobf2mMheo
https://www.kaggle.com/daveianhickey/2000-16-traffic-flow-england-scotland-wales
Some MIT researchers were curious how humans would react in ethical dilemmas that machines could face. Complete the quiz to contribute to their data...
Source: http://moralmachine.mit.edu/
Surprising to see commercial pilots so high on fatality statistics… I’m curious whether it’s skewed by an older demographic.
Source: https://i.redd.it/qjvjsz3hne5z.png
It’s only correlation, but there does appear to be a relationship in the US.
Source: https://www.reddit.com/r/dataisbeautiful/comments/6sqz0d/the_statebystate_correlation_between_teen_birth/
And some more correlations using Google Correlate’s US State Data upload feature.
Source: https://www.google.com/trends/correlate/search?e=id:tj3Tekpkv1S&t=all#default,40
A case where we often take data visualisation for granted - some stunning visuals of weather data.
Source: https://earthobservatory.nasa.gov/IOTD/view.php?id=91004
It’s worth following the link to see the full 12 days of movement - truly staggering to be able to capture and visualise this data.
Source: https://gfycat.com/EquatorialSilverBorer
Plotting the hurricane against the rainfall and flooding as a composite really brings this story to life.
Source: https://owi.usgs.gov/vizlab/hurricane-irma/
In case you were curious just how expensive a hurricane is relative to other weather events… whilst drought is deadlier.
Source: https://www.washingtonpost.com/graphics/national/billion-dollar-disasters/
The New York Times once again flexing its muscles in storytelling with data. Only one other hurricane comes close to the damage caused by Harvey.
Source: https://www.nytimes.com/interactive/2017/09/01/upshot/cost-of-hurricane-harvey-only-one-storm-comes-close.html
I’d be interested to see someone create a composite of names from previous storms and hurricanes to explore whether impact is proportional to damage.
Source: https://www.reddit.com/r/dataisbeautiful/comments/6z87h5/there_was_a_sharp_decline_in_the_number_of_babies/
Whilst this is inflation-adjusted, it would be fair to argue that as an economy grows larger, it will inevitably sustain more damage.
Source: https://www.nytimes.com/interactive/2017/09/01/upshot/cost-of-hurricane-harvey-only-one-storm-comes-close.html
Some incredible research tracking the climate debate on Twitter using machine learning community detection on 16 million tweets - check out some of the surprising key influencers in each cluster.
Sources: https://www.carbonbrief.org/mapped-the-climate-change-conversation-on-twitter-in-2016
http://carbonbrief.s3-eu-west-1.amazonaws.com/cc-Y16_100027.htm
Surprising that Britain is so much more likely to take a bath… (though perhaps people are more likely to OWN a bath).
Source: https://www.kantarworldpanel.com/en/
Having a Finnish-Italian colleague, I can vouch for this data at an n=1 level.
Source: https://www.statista.com/chart/8602/top-coffee-drinking-nations/
If slowing down damage to the climate were a group project… some fun data viz from truthfacts.com.
Source: https://www.instagram.com/p/BYx_5qCDMy2/
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