After having read the three chapters I found myself reflecting over the four major ways to analysing data which are noted in chapter five. As mentioned, there are four ways to do so. And these are the following:
- Analysis
- Summation
- Extrapolation
- Abstraction
These four are all of course useful in different ways. I personally thought that the extrapolation way of analysing data was the most interesting one, and this may be because it is so different from the way we usually learn to analyse data. So what is it that makes it so dissimilar? Well, instead of breaking data into tiny parts (as analysis does for example), extrapolations focuses on making new, different whole from different parts. I think this is an interesting approach of analysing data, but I do not know if we will apply this method on this project. But I think it is an intriguing way of seeing data differently.
In the project group we have not yet come to a conclusion of how we will process data, which is not that odd, since we just started this project. But it is an important stage in the process, and in time we will see which one or ones of these methods we will choose.
Question: What is the best way to analyse data? Should one diced to go with only one method or combing them?
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