Collaboration method for processing the survey data

1. Clone this repo
2. 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
3. Build the conda environment
4. Use load_survey_data.load_data to get a dataframe that can be easily used for further manipulations (see summary-so-far.ipynb)
5. 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

Data files

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