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It’s becoming more inherent, especially as the field is populated with people who have no experience with the “science” part. That is, with the very real and ub
by sidlls 6y ago
It’s becoming more inherent, especially as the field is populated with people who have no experience with the “science” part. That is, with the very real and ubiquitous problem of collecting and cleaning data to make it fit for scientific study. Even theoretical physicists, for example, participate in and rely on empirical data collection, and understand deeply how messy and fraught with error it is.
I don’t see the same appreciation or consideration in general in the field of data “science.”
- superbcarrot 6y ago> with people who have no experience with the “science” part It's interesting that you put it that way because a lot of the other complaints in this thread are that the people who expect their data to be ready for use are exactly the people with science experience but without the relevant technical background.
- Mauricebranagh 6y agoI remember working with some one who has PhD in Physics and who worked at CERN - and one comment I loved "a key skill is knowing how to place the legend, so it obscures that annoying outlier data point"