About this Dataroom
Best City Contest Dataset.
Data History and Data Preview contains table with all cities in the Economist Intelligence Unit's dataset ranked using the authors weighed scorecard model. Each city is given an overall rank and score, as well as scores in each of seven main livability categories.
Attachments contains the executive summary which is a detailed description of the model and results. It also contains an Excel 2010 version of the actual model used (unfortunately not usable in Excel 2003 or earlier).
In addition, visualizations contain map with all cities in the dataset, color coded by their score. Web versions of these visualizations where you can hover your mouse pointer over each city and get the name and rank are available here:
http://www.ministryofclever.com/Livability/WorldMap.html http://www.ministryofclever.com/Livability/AsiaMap.html http://www.ministryofclever.com/Livability/EuropeMap.html http://www.ministryofclever.com/Livability/NorthAmericaMap.html http://www.ministryofclever.com/Livability/MiddleEastMap.html
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Thanks! :) At first, I had some trouble trying to think of what weather is "best" - but the scale itself really says it all: it's not so much about rewarding good weather as it is penalizing the bad.. ;)
I took a look at your stuff too, and I quite like the idea of personalizing the final output - especially when my model could easily have been extended to support that too... But ah well, you live and you learn! Next time...
magdmartin
I wanted to add an other panel so the 'user' can set the min / max temp and sunshine is looking for, but (1) no time to compute this on my end and (2) the interface will look too messy and complex with this on the top.
So using my app, what's your best city? Still the same?
I actually ended up with Melbourne, but Toronto and Vancouver were close second and third. They all sounds like great places, to be honest..
I'm quite fond of Oslo, even if it doesn't quite measure up in this dataset. I expect it's simply too small, cool and expensive to be top tier.
arcald
Hi, i liked the way the weather parameter was incorporated in your index as well. Just as a note: Weather does have a significant impact on humans but "the more sunshine, the better" is not a universal rule :-). What the human body seems to like is "warmth and bright light but also, stability". Here is a link (http://bmb.oxfordjournals.org/content/28/1/79.extract)....Jamaica had, for a long time, low incidence of heart disease which, besides the lifestyle, was also attributed to the fact that the temperature variability was rather low (It stays somewhere around 25 C throughout the year)...The temperature variability can be obtained from Wolfram Alpha for a rather long time, for example (http://www.wolframalpha.com/input/?i=jamaica+temperature+since+1980). All the best.
Hi arcald, and sorry for the slow response.
You make a very good point, sunnier isn't always better, just most of the time. ;)
It seemed to me to be a reasonable enough simplification - especially when you consider that excessive temperatures (high or low) and drought will give a reduction in the two other parameters making up my weather model.
Too much sun can lead to health problems (even when you discount the heat) such as skin cancer. Too little sun can lead to health problems as well, usually vitamin D deficiency or winter depression. I guess people can complain about weather, no matter what it is, if they really want to... :D
I like the way you recompute the weather score. I wish I had time to add this to my viz.