Abusing the AnRep3D-generator: visualising energy-sources (III)

My oldest son looked at the graphs and thought it was unfair to combine coal, oil and natural gas + non-fossil in three directions as the volume would suggest a total. Used for the original purpose (visualisation of four different values from an annual report), this objection won’t apply. Total assets and equity are related and provide for a solid base under the revenue and profit, so it made sense to combine them this way. Nobody would think something about the volume – only the shapes of the surfaces have meanings.

If the AnRep3D-generator is used (or abused) for energy, there will be something like “total consumption”, but it is not related to the volume of the building. The total usage is the sum of the three dimensions of the building: depth, width and height.

His second comment was a useful one, because it will allow me to present a different view on energy: countries with a large number of inhabitants will use more energy and therefore the comparison of coal, oil, gas and non-fossil should be “per capita” (by the way: I never understood why it’s not “per caput” as it’s about a single head). Dividing all the values by the number of inhabitants would be an interesting one, because e.g. China uses a lot of coal, but a lot of people live there as well – more than in the European Union and the USA together. We presented only seven countries, so it will be easy to present the average individual consumption for all the fuels. However, I should have added Italy, as it’s a large industrialised country. So this time we will have eight countries, but the amount of Joules shown will be the average per inhabitant. That’s why it’s in GigaJoule (GJ) now, rather than PetaJoule (PJ = 1000,000 GJ). Individuals usually consume less energy than whole countries.

The numbers of inhabitants below are not all exactly for 2014 (as some are ultimo 2015 and some are rounded as well), but it’s only for demonstration purposes and the differences will be quite small:  UK:  65,382,556,  France: 66,759,950,  Germany:  82,175,684,  Italy: 60,665,551, Russian Federation: ‎143,457,000,  China: 1,371,000,000,  India: 1,311,000,000

After dividing all values by the number of inhabitants, the average usage per inhabitant is obtained.This time I used Excel and saved a .csv to be used as an input-file. That’s were all the decimals and semicolons came from. For the meaning of all the numbers, please read the explanation in previous posts (or read the manual in the free demo-package at AnRep3D.)

csv as inputfile

I generated the new graph, but this spatial graph will only be available next time, as we discuss the numbers. At the moment we haven’t uploaded it to our server yet.So for now I put in two screenshots, taken from different angles.

energy-sources per capita

energy per capita tilted

Suddenly China’s individual usage of coal is less impressive if compared to the USA value! The shape of a single building won’t be different but this time the size can be compared as it’s all about the energy-consumption of an average individual in a country.

Remember: the total usage (this time per individual – on average of course) is the sum of all three dimensions of a building: depth, width and height. Width is coal, depth is oil, the yellow height is natural gas and the green height is “non-fossil” (a combination of nuclear energy, wind, solar, hydro and biofuels).

For more details about our generator, able to create spatial graphs or to get the free demo-package: please visit our company’s website: AnRep3D.

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About AnRep3D

AnRep3D is the new company, founded after the handover of Scientassist (together with VRBI) to one of my sons. From now I will focus on three-dimensional graphs for the financial markets, showing the main figures from annual reports in comparison.
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One Response to Abusing the AnRep3D-generator: visualising energy-sources (III)

  1. Pingback: Let’s step back to see where we are | Annual reports presented as 3D graphs

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