fieldstack

Reusable R notebooks, scripts, and tools for applied data work and evaluation — built for use in the field across health, gender, climate, and education programs.

https://github.com/varnasr/fieldstack

Science Score: 67.0%

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Links to: zenodo.org
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Low similarity (13.8%) to scientific vocabulary

Keywords

climate dashboarding data-analysis development-research education evaluation fieldstack gender mel open-data public-health quarto r shiny spatial-analysis sroi survey-data tidyverse

Last synced: 6 months ago · JSON representation ·

Repository

Reusable R notebooks, scripts, and tools for applied data work and evaluation — built for use in the field across health, gender, climate, and education programs.

Basic Info

Host: GitHub
Owner: Varnasr
License: other
Language: R
Default Branch: main
Homepage: https://varnasr.github.io/FieldStack/
Size: 1.98 MB

Statistics

Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Releases: 0

Topics

climate dashboarding data-analysis development-research education evaluation fieldstack gender mel open-data public-health quarto r shiny spatial-analysis sroi survey-data tidyverse

Created over 3 years ago · Last pushed 10 months ago

Metadata Files

Readme Contributing Citation Roadmap

README.md

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 Ive developed over years of working in public health, gender equity, education, climate resilience, and MEL.

Its 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.

How to Use

Clone the repo or download ZIP
Open any .qmd in RStudio to explore summaries
To run all tests: r source("tests/run_all_tests.R")

To export dashboard-ready CSVs, use the MEL module or edit any notebooks output block.

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

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

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 |

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

Repository Status & Metadata

License

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

Cite This

Sri Raman, V. (2025). FieldStack: Reproducible R Code for MEL, Evaluation, and Social Data. Zenodo. https://doi.org/10.5281/zenodo.15250764

bibtex @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} }

Contact

varna[DOT]sr [AT] gmail [DOT] com
varnasr.github.io
Threads
LinkedIn

Owner

Name: Varna Sri Raman
Login: Varnasr
Kind: user
Location: Delhi India
Company: Idealog Works

Website: http://on-web.link/varna
Twitter: varna
Repositories: 1
Profile: https://github.com/Varnasr

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this repository, please cite it as below."
title: "FieldStack: Reproducible R Code for MEL, Evaluation, and Social Data"
version: "1.0.0"
doi: "10.5281/zenodo.15250764"
date-released: 2025-04-20
authors:
  - family-names: Sri Raman
    given-names: Varna
    orcid: "https://orcid.org/0000-0000-0000-0000"
    affiliation: "Independent Development Economist"
license: MIT
repository-code: "https://github.com/Varnasr/FieldStack"
url: "https://doi.org/10.5281/zenodo.15250764"

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