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One recent example: Can someone suggest good books or resources on SparkR?

It seems to me that asking for book recommendations does not adhere to the guidelines.

Examples of questions that are on-topic for Data Science Stack Exchange:

  • Given process monitoring data arriving every 10ms, what statistical tool should I use to best characterize a change in the process - mean? a distribution?
  • I would like to produce a infographic on the 'Brexit' referendum. Given public opinion data across the UK, what are some meaningful
    techniques to visualize it in a dashboard?
  • When executing an ARIMA model in Spark, what are the pros and cons of using Python instead of R?

But I see also that there were a few questions about rewarded in the past.

Books on Reinforcement Learning?

Can anyone recommend some good books or articles on working with time series??

So should a question such as the one linked at the top be flagged or just let go?

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They are typically off-topic because what is or is not a "good" book is usually a matter of opinion. However, if the OP is somehow able to clearly define the parameters of the book search (e.g. the most cited book) the question could possibly have a best/correct answer and I would consider it to be on topic.

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    $\begingroup$ It's interesting that there is a book tag. I would not expect a tag for something that is generally off-topic. $\endgroup$
    – John Polo
    Nov 17, 2022 at 11:10
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    $\begingroup$ Tags are created by users, and thus there is not necessarily governance around there creation. $\endgroup$
    – Stephen Rauch Mod
    Nov 17, 2022 at 15:29

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