Really interesting map has been recently published by Gocompare.com. It shows how much of the world’s electricity is reliant on fossil fuels (coal, oil and gas), nuclear energy and which countries are using renewable energy.
In order to get the information you need to mouse over a particular country. Based on that we can learn that fossil fuels hold a 68% share of the US energy consumption needs. EU average on the other hand is 45%. Norway is a very interesting case. The country which is one of the largest oil and gas exporters in the world is actually covering its energy needs almost fully using renewable resources. Japan, which prior to the Fukushima tragedy of 2011 drew 30% of its electricity from nuclear power, has reduced that usage to just 1 percent. The map allows you to turn on and of one three listed energy sources. Once you do that, you unlock some additional information layers.
It’s a really good example of a simple mapping project that shows relevant data. From cartographic stand point a lot of things could be improved but the design and ease of use makes it a really solid map.
#Ideas
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Location Intelligence: Foursquare does an amazing job predicting Chipotle’s Q1 results
Two weeks before Chipotle was set to announce its Q1 results, Foursquare’s CEO wrote a blog post on medium predicting that the chain will see a 30% dip in sales. Can analysis of location data from a crowdsourced application help revel the sales figures of a company? For sure! Remember that time when Foursquare predicted the sales figures for iPhone 6s and got it right? (Read: Foursquare predicts iPhone sales figures).
Location Intelligence
Chipotle announced its Q1 results earlier last week and guess what? The sales were down 29.7%. Its amazing how the analysis of location data can help predict the sales figures with such accuracy! Foursquare analysed the customer checkin traffic at more than 1900 Chipotle locations across USA to make this prediction.
Chipotle’s Q1 results prediction by Foursquare
A lot has been said about Beacon technology driving sales by delivering “smart” notifications and increasing brand awareness but maybe the whole idea might be more useful if it is used as a data collection tool for data mining and analysis!
If you are interested in learning more about Foursquare’s Chipotle prediction, head over to the medium post by their CEO.
