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I am confused on why you don't consider that 2nd paragraph as an answer to the 1st. "Did SWE experience more growth, or did it grow proportionally?" It "grows
by slg 6y ago
I am confused on why you don't consider that 2nd paragraph as an answer to the 1st. "Did SWE experience more growth, or did it grow proportionally?" It "grows by ~74%, and all other occupations by ~57%". So yes, SWE expeirenced more growth. By measuring the percentage change you are scaling the salaries to each other.
- deathanatos 6y agoThat's an outcome that I was only able to derive after giving the graph the benefit of the doubt, eyeballing some of the numeric data, and doing some calculations in IPython. But it isn't a result that I feel one can accurately derive from the visualization presented by the graph. (If both had increased by 50%, the shape of the graph would be very similar.) It is not a contradiction to say the presentation doesn't help show the conclusion, and that the conclusion is (nonetheless) correct.
- slg 6y agoFair enough, I guess I just think about things a little differently. I didn't feel the need to do any calculations. You can just eyeball it and see one went from roughly $600 to $900 and that is obviously a 50% increase and one went from a little above $1000 to a little above $1800 and that is obviously around a 80% increase. Those are all nice and easy to process numbers even if they aren't exact. There is a big enough gap in the results to be confident that whatever margin of error existed in my estimates it is clear that the developer salaries grew at a faster rate.