stress_at_work_analysis/.gitignore

/.env
*/.ipynb_checkpoints/
__pycache__/
*/__pycache__/
/exploration/*.ipynb
/config/*.ipynb
/statistical_analysis/*.ipynb
/presentation/*.ipynb
/machine_learning/intermediate_results/
/data/features/
/data/baseline/
/data/*input*.csv
/data/daily*
/data/intradaily*
/data/30min*
/presentation/*scores.csv
/presentation/Results.ods
Use python-dotenv for environment variables. PyCharm did not load conda environment variables. 2020-12-24 14:03:36 +01:00			`/.env`
Start exploring screen data. 2021-02-02 18:08:07 +01:00			`*/.ipynb_checkpoints/`
Add Seaborn and cleanup. 2021-04-09 15:33:52 +02:00			`__pycache__/`
			`*/__pycache__/`
Remove Jupyter Notebooks as they will be versioned as py scripts from now on. 2021-05-07 12:15:00 +02:00			`/exploration/*.ipynb`
Remove remaining Jupyter notebook. 2021-05-07 12:53:10 +02:00			`/config/*.ipynb`
[WIP] Start calculating concordance. Note, workday and morning EMAs have not been properly dealt with, but assumed answered. 2021-06-08 16:07:39 +02:00			`/statistical_analysis/*.ipynb`
Move to presentation. 2022-12-07 21:24:20 +01:00			`/presentation/*.ipynb`
Further refactor by moving helper functions. 2021-09-15 15:14:54 +02:00			`/machine_learning/intermediate_results/`
Update RAPIDS. 2022-02-04 17:20:11 +01:00			`/data/features/`
Ignore some more data and commit RAPIDS submodule. 2022-08-31 16:13:47 +02:00			`/data/baseline/`
			`/data/input.csv`
Save results. 2022-12-07 15:33:18 +01:00			`/data/daily*`
			`/data/intradaily*`
Cluster by demand_control_ratio_quartile. 2023-01-04 18:16:14 +01:00			`/data/30min*`
			`/presentation/*scores.csv`
			`/presentation/Results.ods`