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Tuesday, July 28, 2020

Careful with data

In recent months we have been experiencing a flood of data like never before. Of course, I am talking in this pandemic environment, in a world, which, in addition to measuring differently from place to place, conscious misrepresentation of data in some, and human error or some, and human error or lack of technology in others.

However, far from knowing the real figures, we can get an idea of how this situation is spreading around the world.

But I am very struck by how they give us, day after day, numbers. Numbers that, apart from their coldness, are measured in such a curious way that it almost causes me embarrassment.

How is it possible that they are giving "isolated" figures without taking into account the population where they happen? population where they happen? In my country, for example, they started to create a major alarm in two big cities: Madrid and Barcelona. in two big cities: Madrid and Barcelona.

It is obvious. Madrid and Barcelona, due to their high population density, it is logical that they have more cases than other places. But if we look closely at the data, and even in certain provinces with lower population density, we find more worrying points.

And aside from all the complexity of good bigdata analysis, there is one part to start with and it is quite basic: how much of the population is infected in the area?

I wanted to build on this, and made my own graphs for the world, national (Spain), and even my province (in more detail).

Because don't forget. Numbers, if they are not compared, are meaningless.

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