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carljv

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carljv
·4 lata temu·discuss
Mazda is pretty allergic to touchscreens and views them as a safety risk. Environmental controls are physical button and knobs in all models I’ve seen, and even the infotainment feature are controlled with buttons and a central knob. I never have to reach up and touch the screen. The screen isn’t even responsive to touch while the car is in motion.
carljv
·4 lata temu·discuss
First, the link should probably be to the full report

https://www.kaggle.com/nomilk/data-science-language-and-job-...

Second, this is data scraped from Australian job listings. So the title should probably reflect that.

Lastly, this data seems a little odd. You’ve got month-to-month swings of 20% or more happening here. This data source seems extremely noisy and I don’t think there’s anything you can reliably say about a trend here.

I think others in the comments have pointed out why, if it were real, you might see this overall trend and why it doesn’t mean salaries for the same role are falling.

This looks like a fun side project, but I would be careful reading anything into the results.
carljv
·4 lata temu·discuss
In addition to that, I think some lower-paying roles that used to be analysts or BI specialists are increasingly being called Data Scientists. My guess would be if you controlled for skills and job responsibilities you’d see increases.
carljv
·5 lat temu·discuss
That is not an accurate description of the book.
carljv
·5 lat temu·discuss
There’s some overlap, but vectors are essential to the language. Every type of data in R is a vector. There are no scalars, just vectors of length 1. Instead of dictionaries, it’s idiomatic in R to use “lists”, which are vectors of vectors. Data frames are lists (vectors of vectors) constrained to have equal length element vectors (ie columns). Classes are defined as lists with some metadata (stored in a vector) to direct method dispatch.

It’s not just vectorizing mathematical operations a la numpy.