- 👋 Welcome
- 🧠 Why FieldStack
- 🧪 How to Use
- 🧰 Featured Modules
- 📁 Folder Map
- 📦 Included Modules (2025)
- 🔗 Related
- 📊 Repository Status & Metadata
- 📜 License
- 📑 Cite This
- ✉️ Contact
FieldStack is a personal, open-source collection of reusable R code, Quarto notebooks, and sample datasets that I’ve developed over years of working in public health, gender equity, education, climate resilience, and MEL.
It’s meant for:
- Researchers and MEL professionals needing clean, modular R logic
- Students looking for working examples tied to real development problems
- Field practitioners building quick summaries, dashboards, or insights
Every script and notebook runs out of the box using included data.
Everything is tested, documented, and designed to reflect real South Asian fieldwork needs.
- 🔁 Clone the repo or download ZIP
- 📊 Open any
.qmd
in RStudio to explore summaries - 🧪 To run all tests:
source("tests/run_all_tests.R")
To export dashboard-ready CSVs, use the MEL module or edit any notebook’s output block.
Explore working, documented code across:
- 📊 Evaluation:
cost_effectiveness.R
·sroi_calc.R
- 🧮 Regression:
interaction_model.R
·multicollinearity_check.R
- 🧠 Qualitative:
qual_coding_example.R
- 🐍 Python Integration:
reticulate_example.R
- 📍 Visualization:
bullet_chart.R
·waterfall_chart.R
·map_visualisation_sf.R
All scripts run out of the box and include real data or logic.
Reusable R Scripts, Notebooks, and Sample Data for Evaluation, MEL, and Social Research
CI workflows enabled — badge will display after first successful run
FieldStack/
├── scripts/ # Core reusable R functions
├── notebooks/ # Quarto notebooks (runnable)
├── tests/ # Unit tests
├── sample_data/ # Example CSVs for each use case
├── banner/ # Banner image
Each module includes:
scripts/
: R logic with examplesnotebooks/
: Visual walkthroughs in.qmd
sample_data/
: District-level datasetstests/
: Validation withtestthat
Sector | Notebook | Description |
---|---|---|
Gender | gender_labour_summary.qmd |
Weighted female employment summary from survey-style data |
Public Health | public_health_index.qmd |
Health access index using PHC, CHC, and subcentre availability |
Education | education_summary.qmd |
District- and gender-wise school pass rates |
Climate | climate_risk_summary.qmd |
Vulnerability index using flood, drought, and temperature variability |
MEL | mel_dashboard_summary.qmd |
Wide-to-long reshaping for Power BI/Looker dashboards |
🌐 Also see:
EquityStack → Python + Jupyter + Notebooks for social data
🔗 github.com/Varnasr/EquityStack
MIT License — feel free to fork, reuse, or build on this work.
Sri Raman, V. (2025). FieldStack: Reproducible R Code for MEL, Evaluation, and Social Data. Zenodo. https://doi.org/10.5281/zenodo.15250764
@software{sriraman_fieldstack_2025,
author = {Varna Sri Raman},
title = {FieldStack: Reproducible R Code for MEL, Evaluation, and Social Data},
year = 2025,
publisher = {Zenodo},
doi = {10.5281/zenodo.15250764},
url = {https://doi.org/10.5281/zenodo.15250764}
}
- 📧 varna[DOT]sr [AT] gmail [DOT] com
- 🌐 varnasr.github.io
- 🧵 Threads