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Using R to Identify Key Features Quickly

  • January 9, 2017 at 12:04 am

    #317347

    Comments posted to this topic are about the item Using R to Identify Key Features Quickly

  • January 9, 2017 at 6:57 am

    #1921342

    Thanks for the good article.

  • January 9, 2017 at 11:44 am

    #1921466

    Came to this article because of the subject line and hoping to learn more about what R is and how to use it. But with only a small snippet of code being shown, I didn't learn anything except that there is some function called chi-squared. Perhaps you could link to some background reference material with more info about R itself?

  • January 9, 2017 at 12:29 pm

    #1921476

    Glad you liked it. Thank you 🙂

    Nick

  • January 9, 2017 at 12:31 pm

    #1921478

    tmagney (1/9/2017)

    Came to this article because of the subject line and hoping to learn more about what R is and how to use it. But with only a small snippet of code being shown, I didn't learn anything except that there is some function called chi-squared. Perhaps you could link to some background reference material with more info about R itself?

    A shame that this wasn't what you were looking for. For an intro to R, perhaps a quick Google for things like this:

    Statistics + R: https://cran.r-project.org/web/packages/IPSUR/vignettes/IPSUR.pdf

    Basic visualisation in R: http://www.computerworld.com/article/2497304/business-intelligence-beginner-s-guide-to-r-painless-data-visualization.html

    Cheers,

    Nick

  • January 10, 2017 at 7:30 am

    #1921620

    I'm a DBA who has been exploring R. I have taken a class in R. This article helps to put R into practical use. Very cool. Thanks for sharing.

  • January 10, 2017 at 3:47 pm

    #1921791

    evans911 (1/10/2017)

    I'm a DBA who has been exploring R. I have taken a class in R. This article helps to put R into practical use. Very cool. Thanks for sharing.

    Thank you for the comment! Lol I understand where you're coming from - there is a big step from "coding some R" and "using R for real". Hard work, but exciting 🙂

  • January 12, 2017 at 11:41 am

    #1922389

    Nick, this was a helpful and insightful post. I'm new to R and working with it in VS/RTVS, would Shiny be the mechanism by which you surface your data in R? If so would Shiny be akin to htmlwidgets? Id like to follow along and re create this in R, I assume your just assembling the data set as a data frame and surfacing through the app, if not any guidance would be appreciated.

    Thank you for your efforts and contribution to this topic

    Vinnie
    Santa Barbara, CA

    _____________________________________________________________________
    As soon as you see something, you already start to intellectualize it. As soon as you intellectualize something, it is no longer what you saw. Suzuki-roshi

  • January 12, 2017 at 12:35 pm

    #1922404

    vega805 - Thursday, January 12, 2017 11:41 AM

    Nick, this was a helpful and insightful post. I'm new to R and working with it in VS/RTVS, would Shiny be the mechanism by which you surface your data in R? If so would Shiny be akin to htmlwidgets? Id like to follow along and re create this in R, I assume your just assembling the data set as a data frame and surfacing through the app, if not any guidance would be appreciated.

    Thank you for your efforts and contribution to this topic

    Vinnie
    Santa Barbara, CA

    Hi Vinnie,

    You're absolutely right - Shiny, like HTMLWidgets, is just a presentation layer. An awesome presentation layer! The actual dataset is on the UCI Machine Learning repository (https://archive.ics.uci.edu/ml/datasets/Pittsburgh+Bridges), and if you can tolerate my entirely undocumented code, check out my GitHub (https://github.com/nickb-/SQLUserGroup/tree/master/PatternRecognition_PittsburghBridges) 🙂

    Nick

  • January 12, 2017 at 7:30 pm

    #1922463

    nick.dale.burns - Thursday, January 12, 2017 12:35 PM

    vega805 - Thursday, January 12, 2017 11:41 AM

    Nick, this was a helpful and insightful post. I'm new to R and working with it in VS/RTVS, would Shiny be the mechanism by which you surface your data in R? If so would Shiny be akin to htmlwidgets? Id like to follow along and re create this in R, I assume your just assembling the data set as a data frame and surfacing through the app, if not any guidance would be appreciated.

    Thank you for your efforts and contribution to this topic

    Vinnie
    Santa Barbara, CA

    Hi Vinnie,

    You're absolutely right - Shiny, like HTMLWidgets, is just a presentation layer. An awesome presentation layer! The actual dataset is on the UCI Machine Learning repository (https://archive.ics.uci.edu/ml/datasets/Pittsburgh+Bridges), and if you can tolerate my entirely undocumented code, check out my GitHub (https://github.com/nickb-/SQLUserGroup/tree/master/PatternRecognition_PittsburghBridges) 🙂

    Nick

    Thank you for the follow-up and insight Nick, and I appreciate the GitHub resource. Speaking of Pittsburgh, Go Steelers!

    _____________________________________________________________________
    As soon as you see something, you already start to intellectualize it. As soon as you intellectualize something, it is no longer what you saw. Suzuki-roshi

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