### My Most Popular Posts of 2017

Although I've made many posts on my Data Analytics Workouts site, some generated more interest than others - nothing here was virally popular - and below are a handful of the most popular, sorted in descending order of views:

- Charting Correlation Matrices in R (877)
- Neural Networks (Part 4 of 4) - R Packages and Resources (507)
- Performance Improvements in R: Vectorization & Memoisation (322)
- Naive Bayes on Political Outcome Based on State-level Big Five Assessment (263)
- Decision Trees on Political Outcome Based on State-level Big Five Assessment (262)
- F# is Part of Microsoft's Data Science Workloads (223)
- Logistic Regression on Stock Data using Google and SPY (SPDR S&P 500) (196)
- Using Visual Studio Team Services for Personal Development (194)
- Microsoft Azure Notebooks - Live code - F#, R, and Python (186)
- Efficient R Programming - A Quick Review (178)
- Patents Per Capita and Hofstede's Cultural Dimensions (167)
- Comparing Performance in R Using Microbenchmark (164)
- Long-term Orientation and Individuality: Obesity Relationships (using R)(149)
- Clustering: Hierarchical and K-Means in R on Hofstede Cultural Patterns (129)
- Attractive Confusion Matrices in R Plotted with fourfoldplot (128)
- Calculating Value at Risk (VaR) with Python or R (119)
- Value-at-Risk (VaR) Calculator Class in Python (114)

- Naive Bayes on Political Outcome Based on State-level Big Five Assessment (263)
- Decision Trees on Political Outcome Based on State-level Big Five Assessment (262)
- Patents Per Capita and Hofstede's Cultural Dimensions (167)
- Long-term Orientation and Individuality: Obesity Relationships (using R) (149)
- Clustering: Hierarchical and K-Means in R on Hofstede Cultural Patterns (129)
- Geert Hofstede | Defined Corporate Culture (108)
- Support Vector Machines on Big Five Traits and Politics (66)