The dataset is available on Kaggle. I'm focusing on the most backed project data file.
The top 5 locations in terms of the number of projects:
San Francisco, CA 280
Los Angeles, CA 271
New York, NY 212
Seattle, WA 147
London, UK 132
The top 5 project types:
Product Design 773
Tabletop Games 742
Video Games 524
The average goal for the different project types:
video games = $127,020
hardware = $71,512
technology = $68,211
product design = $39,572
table top games = $26,657
Product design is the number one project type in terms of the number of projects for San Francisco, Los Angeles, New York and London but not Seattle. In Seattle the number one project type is Tabletop Games.
In general games, video and table top, make up a sizeable proportion of the total amount pledged. The only other non-US city to make it into the top ten, besides London, is Toronto, which just gets in at number ten.
The code used to get the above stats is available here.
The data is available here.
The top ten postcodes for payouts are:
BT71 = 74
BT78 = 62
BT70 = 61
BT60 = 40
BT80 = 37
BT79 = 35
BT45 = 33
BT92 = 27
BT61 = 26
BT42 = 26
Most of these are contained within the black line in the map below:
map license: Creative Commons Attribution-Share Alike 3.0 License
map link: https://en.wikipedia.org/wiki/File:BT_postcode_area_map.svg
map created by: Richardguk
The maximum payout (up to Feb 28 2017) is: £252,844.05
The minimum payout (up to Feb 28 2017) is: £73.22
The total payout (up to Feb 28 2017) is: £27,418,000.60 - to put this in some context it is estimated that to clear the backlog of patients waiting for treatment (in some cases more than 1 year) on the NHS in N.Ireland would cost around £30,000,000.
The tecnology type used is almost entirely solid biomass boiler.
Solid Biomass Boiler = 868
Ground Source Heat Pump = 1
According to at least one media article Trump has not been tweeting as much after the controversy surrounding his allegation that Obama tapped his phones during the campaign. To test the assertion I counted the number of Tweets in the 9 days since the original tweet making the allegation on Mar 4. Then compared that to the nine day period prior to Mar 4.
The data does not support the assertion that Trump is using Twitter differently. He posted 36 tweets before Mar 4 and 34 after Mar 4. I only counted the tweets on Trump's personal account rather than the official POTUS account.
dataset: available on kaggle, dataset name: Possible Asteroid Impacts with Earth
Asteroid: a large rocky object in space, in orbit around the Sun.
Meteoroid: smaller rocks in orbit around the Sun.
Meteor: If a meteoroid enters the Earth's atmosphere and vaporizes, it becomes a meteor, which is often called a shooting star
Meteorite: Some objects are big enough to survive the passage through the earth's atmosphere and hit the Eath's surface.
Is it likely that life on earth would be destroyed by an asteroid impact?
The likelyhood of an extinction event depends on the energy released during impact, which in turn depends on the mass (which is related to the size and density) and the velocity.
In general it is estimated that an object of 10km diameter or larger would result in many deaths and would release enough dust into the atmosphere to cause a 'nuclear' winter. Resulting in widespread famine. A 10 km object would probably not cause the complete extinction of the human race but it would probably result in the breakdown of civilisation.
What is the diameter distribution within the dataset?
So most of the objects in this dataset are about 10m or less in diameter.
Are there any objects greater than 1 km?
The three largest objects are:
2010 AU118 = 1.9 km
2011 SR52 = 2.579 km
29075 (1950 DA) = 1.3 km
None of these objects is big enough to cause the extinction of the human race. That's the good news, the bad news is that the dataset only includes some of the asteroids that have been discovered, there may be many more that remain to be discovered and some of those may be larger than 10km.