This site is often under construction as it is used to expand my skills by exploring ideas and techniques for .NET, combining ASP.NET, Silverlight applications, web services, and a VB/C# desktop client to access selfsame web services.

Updates and Announcements


Ten Simple Rules for Effective Statistical Practice

A interesting article by six statisticians, Ten Simple Rules for Effective Statistical Practice, and their aim:
To this point, Meng notes "sound statistical practices require a bit of science, engineering, and arts, and hence some general guidelines for helping practitioners to develop statistical insights and acumen are in order. No rules, simple or not, can be 100% applicable or foolproof, but that's the very essence that I find this is a useful exercise. It reminds practitioners that good statistical practices require far more than running software or an algorithm."
The 10 rules are:

  1. Statistical Methods Should Enable Data to Answer Scientific Questions
  2. Signals Always Come with Noise
  3. Plan Ahead, Really Ahead
  4. Worry about Data Quality
  5. Statistical Analysis Is More Than a Set of Computations
  6. Keep it Simple
  7. Provide Assessments of Variability
  8. Check Your Assumptions
  9. When Possible, Replicate!
  10. Make Your Analysis Reproducible



Data Analytics Workouts: Recent Posts using Python

I have been exploring Python and R for manipulating data. My long terms goals for this exercise, that I document on the blog, are to develop skills in the aforementioned languages, as well as extend my abilities with F# and explore other technologies like NoSQL Db's. Things like Hadoop and Spark are likely much farther down the road, if at all.

Exercises: OESMN (Obtaining, Scrubbing, Exploring, Modeling, iNterpreting)

OESMN (Obtaining, Scrubbing, Exploring, Modeling, iNterpreting): Getting Data

Computational Statistics in Python: Exercises

Promising Power: functools and itertools of Python

Iterators, Generators, and Decorators in Python

Recursion in Python

Functions are first class objects: Higher Order Functions