Category: TERR

Missing Value Imputation with Data Augmentation in R

Incomplete data is a problem that Data Scientists face every day. Most common practices vary from complete deletion of the observations with missing values, substitution by a fixed value, or performing imputation using statistics like the mean or median. Since these approaches have limitations on capturing the structure of the data, scientists have developed more sophisticated methods.

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Using the “spTimer” Package to Model Spatio-Temporal Data in R

The “spTimer” package uses three Bayesian models to fit Spatio-Temporal Data. The data may be given at sparse spatial stations, where observations at each station are considered time series. The package can model the residual spatio-temporal variation to measure uncertainty. It also gives flexibility to customize covariance function selection, the hyper-parameters of the prior distributions and the tuning parameters for the implemented MCMC algorithms.

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Using Support Vector Machines in Spotfire

(Image Source: opencv.org)

Support Vector Machines (SVMs) is one of the most popular and most widely used machine learning algorithms today. It is robust and allows us to tackle both classification and regression problems. In general, SVMs can be relatively easy to use, have good generalization performance, and often do not require much tuning. Follow this link for further information regarding support vector machines. To help illustrate the power of SVMs, we thought it would be useful to go through an example using a custom template we have created for SVMs.

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Connecting to APIs from Spotfire

Just wanted to share this development journey with you trying to build a template. I wanted to create a WordPress connector for DataShopTalk so that I could download all the articles and get a good idea of the content of the blog. Connecting directly to the MySQL database was not really ideal, I wanted to setup an API from WordPress so that a data function could connect to it.

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Spotfire Data Functions — TERR Basics

  • Have you experienced difficulty trying to implement data functions or TERR code from blog posts?
  • Do you find that blog post frequently assume you know how data functions work and simple but important steps are missing?
  • Can you follow blog post steps but don’t know why a step is required and thus can’t implement it in a different scenario?
  • Do you feel like you are lacking in a foundational or basic understanding of how TERR works in Spotfire?

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