Advanced Techniques for Working With Big Data in JMP

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  • Опубликовано: 27 дек 2024

Комментарии • 4

  • @Zane_Zaminsky
    @Zane_Zaminsky 5 лет назад +3

    He’s back!! Another FABULOUS Dr. Parris JMP video! Despite the fact that I have been using JMP since version 3, I always learn from Dr. Parris! Thank you!

    • @JulianParrisPhD
      @JulianParrisPhD  5 лет назад +2

      Such kind words, thank you!

    • @markchahl6408
      @markchahl6408 5 лет назад +2

      I too have been using JMP since version 3 and always learn from Dr. Parris' videos. Keep up the great work educating the user base!

  • @PatrickGiuliano
    @PatrickGiuliano 7 месяцев назад

    I'm summarizing a section of this video that demonstrates a very useful JMP technique!
    "Uncovering missingness for every possible indicator:"
    ruclips.net/user/clipUgkxI0WTsr_sAOnWWMV5YvoZYzbciL7NcNEb?si=0e80gXR7EHEaBPyr
    ruclips.net/user/clipUgkxiHTDpOjKxrY236O8HnWyYdc8JybUvc7_?si=xIzHWvQwZSqRUGZW.
    This approach can be further useful in the context of trying to define all possible category levels for every indicator. In this way, we can actually "show" missingness (or values that might otherwise we considered zero) in a data structure that otherwise doesn't have those levels explicitly defined.