2017-05-15

Data Analytics Workouts: Support Vector Machines on Big Five Traits and Politics

Working through a Pluralsight tutorial on Support Vector Machine, I adapted it to one of my usual data sets, Hofstede Cultural Dimension and Big Five state-level personality traits:

Support Vector Machines on Big Five Traits and Politics
2017-05-08

Data Analytics Workouts: Charting Correlation Matrices in R

I noticed this very simple, very powerful article by James Marquez, Seven Easy Graphs to Visualize Correlation Matrices in R, in the Google+ community, R Programming for Data Analysis, so thought to give it a try, since I started some of my current analyses a decade ago by generating correlation matrices in Excel, which I've sometimes redone and improved in R.

Charting Correlation Matrices in R
2017-05-05

Data Analytics Workouts: Data Mining Explorations

Another Pluralsight training course, Data Mining Algorithms in SSAS, Excel, and R, had one sections on Navie Bayes and on decision trees. I worked through the example, but varied using my own data and code, linked below.

Naive Bayes on Political Outcome Based on State-level Big Five Assessment

Decision Trees (party) on Political Outcome Based on State-level Big Five Assessment
2017-05-04

Data Analytics Workouts: Predicting Google's Stock Price

Running through a Pluralsight training course, Understanding and Applying Logistic Regression, an example was code predicting Google's stick price from SPDR ETF's price changes, although tweaked to my own style...

Logistic Regression on Stock Data using Google and SPY (SPDR S&P 500)
2017-04-26

Review: Text Analysis with R for Students of Literature (Quantitative Methods in the Humanities and Social Sciences)

Text Analysis with R for Students of Literature (Quantitative Methods in the Humanities and Social Sciences)Text Analysis with R for Students of Literature by Matthew L. Jockers
My rating: 5 of 5 stars

Engaging writing, with code samples and practices. As for programming, I thought the code quality was somewhat low or sloppy, but Jockers is not a software developer by trade. While reading, I did have a few ideas to solve some text-matching issues across systems, and generally, I found the lack of discipline in the author's approach conducive to flexible thinking about using techniques with R.

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