If youāre going to present data, you should critically engage with the source of that data.
why else did you post it? Surely you think there is something interesting to be said about it?
I agree further engaging with the quality of the data would improve the post. However, this does not necessarily imply that I should have engaged more with the data. I had done this analysis for other purposes, and thought that posting this may be better than nothing. I should have tagged the post as āPersonal blogā instead of the default āFront pageā (I was unaware of the tab āPersonal blogā, but will have it in mind for similar posts in the future).
Data itself is inherently meaningless, but from its interpretation we can make interesting observations
I would say data is inherently meaningful. For example, I think the data explorers and graphs from OWID convey lots of useful information. However, interpretation is also valuable to e.g. explain data in plain language, clarify what we can and cannot infer from them, pose further work questions, etc. (so reading articles from OWID besides just checking graphs leads to a better understanding).
Thanks for clarifying.
I agree further engaging with the quality of the data would improve the post. However, this does not necessarily imply that I should have engaged more with the data. I had done this analysis for other purposes, and thought that posting this may be better than nothing. I should have tagged the post as āPersonal blogā instead of the default āFront pageā (I was unaware of the tab āPersonal blogā, but will have it in mind for similar posts in the future).
I would say data is inherently meaningful. For example, I think the data explorers and graphs from OWID convey lots of useful information. However, interpretation is also valuable to e.g. explain data in plain language, clarify what we can and cannot infer from them, pose further work questions, etc. (so reading articles from OWID besides just checking graphs leads to a better understanding).