computational: Computational competencies survey responses from Global Health Engineering team members

This dataset contains survey responses about computational competencies collected from team members in preparation for the openwashdata conference in June 2025. The survey assessed experience with programming languages, development tools, and computational workflows.

Usage

computational

Format

A tibble with 16 rows and 15 variables

id

Unique identifier for each survey respondent.

experience_programming_general

Self-reported experience with programming in general.

experience_programming_r

Self-reported experience with programming in R.

experience_programming_python

Self-reported experience with programming in Python.

other_languages

Other programming languages or software the respondent has experience with (comma-separated).

programming_confidence

Self-reported confidence in writing a program to find the largest number in a list.

experience_git

Self-reported experience with using Git.

experience_github

Self-reported experience with using GitHub.

data_storage_format

Primary format used for data storage.

document_writing_approach

Approach to writing narrative documents that include text and analysis.

experience_ides

Self-reported experience with using Integrated Development Environments (IDEs).

ides_used

IDEs that the respondent has used (comma-separated list).

cli_usage

Self-reported usage of command-line interface on their operating system.

llm_usage

Self-reported usage of Language Learning Models (LLMs) for various tasks.

llm_tools_used

LLM tools or platforms used for research, ideation, writing, or coding (comma-separated list).