Extensive Python data processing/exploration work from my 2014 study on rhythmic synchronization timing, in Jupyter notebooks.
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Part 1 - questionnaire scales - 2014-11.ipynb
Part 2 - database construction - 2014-11.ipynb
Part 3 - ISIP tasks - 2014-11.ipynb
Part 4 - SMS structuring and cleaning - 2014-11.ipynb
Part 5 - SMS outcome variable setup & plotting - 2014-11.ipynb
Part 6 - output array assembly - 2014-11.ipynb
Part 7 - analyses in python - 2014-11.ipynb
Part 8 - additional analyses after SPSS-R modeling - 2014-11.ipynb
README.md

README.md

Timing-study-data-processing

Extensive Python data processing, exploration, and visualization work from my 2014 study on rhythmic synchronization timing, in Jupyter notebooks. See also: dissertation manuscript, dissertation defense slides

On nbviewer.jupyter.org: