RapidMiner Stats Part 3 Working with Attributes

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=L5sh1sRSfQQ

This video is part of the Segment on Statistical Data Analysis in a series on RapidMiner Studio. The video demonstrates how to manipulate attributes to select them, to create new and modify existing attributes, and how to discretize values of a continuous (real) attribute into a nominal (categorical) attribute. A simple pie chart is then used to visualize the resulting data. • The data for this lesson includes demographic information and academic achievements of students taking Mathematics in two Portuguese schools. The data for the video can be obtained from: • http://jacobcybulski.com/youtube-rsrc... • http://jacobcybulski.com/youtube-rsrc... • The original source of the data can be found at the UCI Machine Learning Repository: • http://archive.ics.uci.edu/ml/dataset... • Videos in data analytics and data visualization by Jacob Cybulski, jacobcybulski.com. • Also see the following publication describing the project which resulted in the collection and analysis of this data set: • P. Cortez and A. Silva. Using Data Mining to Predict Secondary School Student Performance. In A. Brito and J. Teixeira Eds., Proceedings of 5th FUture BUsiness TEChnology Conference (FUBUTEC 2008) pp. 5-12, Porto, Portugal, April, 2008, EUROSIS, ISBN 978-9077381-39-7.

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