2015-12-17 status

Done

Data Collection

• Closed out initial program advance in TEM.
• Created a number of database views to make survey data easier to process.
• Created 50 bar charts using R and LaTeX to describe distribution of answers to 50 survey questions.
• Calculated "course-grained" mean agreement of Parncutt sequences in both Parncutt et al. and in our survey. (Think Fleiss's Kappa with each fingering representing a category, 191 annotators, one example to classify, and no need to worry about chance agreement. Anyway, it made sense to me while I was doing it.)
• Split 191 complete responses into two datasets ("exploratory" and "validation") for out-of-sample testing in an effort to mitigate effects of data dredging if/when our quest for correlation runs amok.

 Doing

1. Arranging with BDE for Alex to receive CS 398 credit next term for BowTIE work.
2. Performing Chi Square analysis of exploratory dataset to correlate abbreviated Parncutt fingerings with gender, reach, age, Hanon usage, technical practice, preparation actions, injury, etc.
3. Looking at how well selecting fingering a in Exercise A predicts selecting fingering b in Exercise B. That is, do people have common patterns of fingering preference?
4. Analyzing "consensus" of finger choice that follows abbreviated Parncutt fingering. How arbitrary were these sequences? Can we identify more suitable sequences in our data?
5. Doing more basic descriptive statistical analysis of survey data.
6. Evaluating Tableau for easier (and richer) data visualization. (SQLite support missing for OS X. 

Struggling

• Can we legitimately treat fingerings as categories? 
• How can we conflate the unpopular fingerings meaningfully? 
• Not sure how out-of-sample testing will complicate contemplated ad hoc category definition.