GitHub - sa-tre/feature_survey

Collaboration method for processing the survey data

Clone this repo
Download the spreadsheet final-results-for-satre-tre-op-2023-05-16-1359 from the private SATRE filestore and put it in the the local copy of the repo
Build the conda environment
Use load_survey_data.load_data to get a dataframe that can be easily used for further manipulations (see summary-so-far.ipynb)
Run pre-commit install in the local copy of the repo to ensure the git hook for stripping notebook output is installed. Note that it operates on git commit, and removes all output from the local copy of the notebook

The original survey results contain sensitive data, but a sanitised version is available:

data/public-results-for-satre-tre-op-2023-05-16-1359.csv contains the ranked answers from the survey, along with:
- manually categorised roles and institutions types
- extracted tokenised answers for some free text questions (e.g. software packages) using categorical_free_text.ipynb
data/free-text-summaries.md contains a manual summary of the remaining collated free text answers

Name		Name	Last commit message	Last commit date
Latest commit History 50 Commits
data		data
.pre-commit-config.yaml		.pre-commit-config.yaml
README.md		README.md
analysis.py		analysis.py
categorical_free_text.ipynb		categorical_free_text.ipynb
ed-chalstrey-summary.ipynb		ed-chalstrey-summary.ipynb
environment.yml		environment.yml
example_programming_languages.ipynb		example_programming_languages.ipynb
load_survey_data.py		load_survey_data.py
summary-so-far.ipynb		summary-so-far.ipynb
survey_vis.py		survey_vis.py