Eurobricks Dukes
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About eurotrash

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    Put the FUN in funicular

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  1. eurotrash

    MOC: Marooned!

    You've probably already guessed that the fuselage is But the black 'door' is just an internal construct using curved pieces inside the spacecraft to ensure that you couldn't see into it. Dirty little secret: He has a crutch because I didn't have enough pieces to complete that second leg :)
  2. MOC: Tiki Swiss Army Knife An artist friend had started work on a Tiki Switchblade painting - and I just had to take the idea to the next level. So, I'd like to present my multi-function Tiki Swiss Army Knife. It includes a knife, a rasp file, a bottle opener and a cross-headed screw driver and they all fold back into the body of the Tiki. I tried using the bottle opener last night - it was rubbish! :) More stuff and nonsense on Flickr
  3. eurotrash

    MOC: Marooned!

    Thanks for the kind words. No, it's not based on an actual movie..... but if it was I'd be the first in the queue to watch it! :)
  4. eurotrash

    MOC: Marooned!

    I've been thinking about building a pulp-fiction sci fi book cover from the 1950's for a while, but I found it difficult to build a 2D version. So, in the spirit of coloring outside the lines I built a 3D version and ignored the book covers boundaries. Hope you enjoy it! More stuff and nonsense on Flickr.
  5. You're very welcome and, of course, if there's anything I can help with then please don't hesitate to reach out to me.
  6. No worries mate! Luckily I get paid to be an applied statistician and mathematician. AND I build things in Lego. So, here’s a MOC to help with the problem. Both charts contain the same amount of data (studs) and I’ve shown the +1/-1 Standard deviation in red and the mean with the black tile. The top chart shows data that is normally distributed and the lower chart shows skewed data. The same amount of tan and red plates straddle the mean but the shape is very different. Top Chart; Mean = 6.5, Standard deviation = 1.5, AVG +1/STDEV = 8, AVG -1/STDEV = 5 Bottom Chart; Mean is 8.5, Standard Deviation = broken and meaningless because the data asymmetric, but AVG +1/STDEV = 9, AVG -1/STDEV = 7. So the usual methods for calculating the STDEV just do not work for skewed data. However if we can mathematically manipulate the shape of that lower chart (using a formula) into something that resembles the top chart then we can calculate the STDEV thresholds and then using the same formula backwards we can calculate the thresholds for the skewed data. Luckily Im a lazy applied statistician so I use Excel to calculate the =skew()* of the data then create a simple power function like y=x^N and ‘Goal seek’ to find me a legitimate value of N that gives me a zero skew data set. Then I calculate STDEV as for ‘normally distributed data’ work out the thresholds (in this case the first 9 plates and the last 9 plates would be outside of +1/-1 STDEV . Then I can determine where those thresholds are on the actual skewed data by that running the inverse of that original power function..... good grief I’m boring myself to sleep here. 😀 TL:DR Open up the tool you’re using to crunch the numbers and google ‘How to calculate STD in skewed data sets in Tool X’ And as for useful links Wikipedia’s section on Stats is awesome! I’d start with Skewness and Data Transformation (Statistics) and see where that leads you. As I said before Congratulations on an awesome job! * I worry about =KURT() as well and also adjust for that in the power function. Kurt is kurtosis; the pointiness of the data set.
  7. First of all, this is an awesome amount of work. Congratulations it’s very impressive. My only minor quibble is with the approach you’ve used for the standard deviation. We have here a dataset that is on a percentage basis (0% to 100%). These are rarely normally distributed - typically there’s a negative skew and so in order to calculate a +1/-1 Standard deviation you’ld have to transform the source data using some form of power function (like a y=a + b^c or a log-based version). Then you calculate the STD, then you reverse transform it back into values in the source data. You’ll end up with a -1 STD that is further away from the mean than the +1 STD but that’s okay, that’s what it should be for negative skew. As i said ‘just a minor quibble’ and I don’t want it to detract from the serious amount of fine work you’ve put into this. Excellent job!
  8. I started off with the intention of building Neil Armstrong’s boot print on the moon, but a heavy diet of Film Noir movies lead me in a different direction. Hope you enjoy it.
  9. eurotrash

    MOC: The Brixton Hotel

    Very effective color palette and chock full of great design. I really like the step down lounge area, the clean-lined front desk, and the SNOT floor, but it’s elevators that just look perfect. Excellent job!
  10. eurotrash

    Lester's Big Adventure Voting

    10 - 1 point 12 - 2 points Great effort everyone!
  11. eurotrash

    MOC: Cove Market, fish and vegetable harbor market

    I'm a huge fan of the old and discoloured bricks! Great job!
  12. MOC: A 1930's Stud-baker I found an old faded sepia photograph of a 1930's Stud-baker. I think it'd be perfect for Lester! More stuff and nonsense on Flickr
  13. eurotrash

    [LESTER] Adventure Jeep

    Nice looking vehicle. I particularly like the technique you’ve used for the windscreen.
  14. eurotrash

    Night Outing in NINJAGO City

    Excellent work! Very atmospheric.
  15. I had been on the fence about this set. Even today I had it in my shopping basket but replaced it with something else at the last minute. Your review has convinced me to buy it tomorrow - maybe even two sets ?