Blog post available at https://github.com/d6t/d6t-python/blob/master/blogs/top10-mistakes-statistics.md
visualize.ipynb: results notebook
task.py: tasks for generating data and models
cfg.py: parameters
run.py: execute workflow tasks and push data
The structure follows the d6tflow template for scalable data science projects available at https://github.com/d6t/d6tflow-template. It also makes use of d6tpipe to quickly share data to go with data science code see https://d6tflow.readthedocs.io/en/latest/collaborate.html
Interactive results notebook at http://tiny.cc/top10-mistakes-stats-bind