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I hate these sort of comparisons. You've got R, Python, SAS... okay, those are sort of similar. Then you've got Java and "C, C++ or C#," and man, including C# w

by cwyers 10y ago

I hate these sort of comparisons. You've got R, Python, SAS... okay, those are sort of similar. Then you've got Java and "C, C++ or C#," and man, including C# with C/C++ is... fraught. Then you've got Hadoop, Spark, Hive... okay, those are all kind of different from what we've had so far. Now you've got Tableu and RapidMiner. Uh. In the second chart, "Microsoft" is included as a keyword. Okay. It's just... comparing apples, oranges, bananas, grapes and pears. What's it supposed to tell us?

dredmorbius 10y ago
"Microsoft was a difficult search since it appears in data science ads that mention other Microsoft products such as Windows or SQL Server. To eliminate such over-counting, I treated Microsoft different from the rest by including product names such as Azure Machine Learning and Microsoft Cognitive Toolkit. So there’s a good chance I went from over-emphasizing Microsoft to under-emphasizing it with only 157 jobs." Read the methodology, Luke.
- cwyers 10y ago
  Okay, but what does that mean? Microsoft Cognitive Toolkit is like Tensorflow, which is included as an item on the list. Azure Machine Learning is something you can script with R or Python, and allows you to create APIs for predictive use on Azure. What good does lumping those together do? And what does it tell us that some things that are basically an R/Python library are less popular than R or Python themselves? It's this weird, uneven mix of things. Some are programming languages, some are libraries or frameworks, some are end-user products like Tableau.
  - nl 10y ago
    This is pretty much what data science in the real world is like. Define the question you are interested in (in this case, a somewhat reasonable attempt to compare R/Python/SAS) and the put other things in blobs with a note that says this is what this blob is. Enjoy.
    - dredmorbius 10y ago
      Bingo. Thanks. I was losing (patience|interest).

by cwyers 10y ago

dredmorbius 10y ago

"Microsoft was a difficult search since it appears in data science ads that mention other Microsoft products such as Windows or SQL Server. To eliminate such over-counting, I treated Microsoft different from the rest by including product names such as Azure Machine Learning and Microsoft Cognitive Toolkit. So there’s a good chance I went from over-emphasizing Microsoft to under-emphasizing it with only 157 jobs." Read the methodology, Luke.

cwyers 10y ago
Okay, but what does that mean? Microsoft Cognitive Toolkit is like Tensorflow, which is included as an item on the list. Azure Machine Learning is something you can script with R or Python, and allows you to create APIs for predictive use on Azure. What good does lumping those together do? And what does it tell us that some things that are basically an R/Python library are less popular than R or Python themselves? It's this weird, uneven mix of things. Some are programming languages, some are libraries or frameworks, some are end-user products like Tableau.
- nl 10y ago
  This is pretty much what data science in the real world is like. Define the question you are interested in (in this case, a somewhat reasonable attempt to compare R/Python/SAS) and the put other things in blobs with a note that says this is what this blob is. Enjoy.
  - dredmorbius 10y ago
    Bingo. Thanks. I was losing (patience|interest).