📚 Table of Contents

• 👋 Welcome
• 🧠 Why FieldStack
• 🧪 How to Use
• 🧰 Featured Modules
• 📁 Folder Map
• 📦 Included Modules (2025)
• 🔗 Related
• 📊 Repository Status & Metadata
• 📜 License
• 📑 Cite This
• ✉️ Contact

👋 Welcome

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.

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🧪 How to Use

• 🔁 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.

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🧰 Featured Modules

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.

• Repository Status & Metadata
• Related Repositories
• License

FieldStack 📊

Reusable R Scripts, Notebooks, and Sample Data for Evaluation, MEL, and Social Research

CI workflows enabled — badge will display after first successful run

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📁 Folder Map

FieldStack/
├── scripts/         # Core reusable R functions
├── notebooks/       # Quarto notebooks (runnable)
├── tests/           # Unit tests
├── sample_data/     # Example CSVs for each use case
├── banner/          # Banner image

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📦 Included Modules (2025)

Each module includes:

• scripts/: R logic with examples
• notebooks/: Visual walkthroughs in .qmd
• sample_data/: District-level datasets
• tests/: Validation with testthat

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

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🔗 Related

🌐 Also see:
EquityStack → Python + Jupyter + Notebooks for social data
🔗 github.com/Varnasr/EquityStack

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📊 Repository Status & Metadata

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📜 License

MIT License — feel free to fork, reuse, or build on this work.

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📑 Cite This

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}
}

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✉️ Contact

• 📧 varna[DOT]sr [AT] gmail [DOT] com
• 🌐 varnasr.github.io
• 🧵 Threads
• 💼 LinkedIn

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