Appendix A — References
“albertocairo.” n.d. In albertocairo.
Accessed May 22, 2026. https://www.albertocairo.com.
Alex Notov. 2025. Introduction to Claude Skills.
https://platform.claude.com/cookbook/skills-notebooks-01-skills-introduction#discovering.
Anthropic. 2024. Building Effective AI Agents. https://www.anthropic.com/engineering/building-effective-agents.
Anthropic. 2025. Claude. https://claude.ai.
Anthropic. n.d.-a. “Best Practices for Claude
Code.” In Claude Code Docs. Accessed April 13,
2026. https://code.claude.com/docs/en/best-practices.
Anthropic. n.d.-b. “Claude Code Overview.” In
Claude Code Docs. Accessed April 16, 2026. https://code.claude.com/docs/en/overview.
Anthropic Engineering. 2025. Effective Context Engineering for
AI Agents. https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents.
Anthropic Engineering. n.d.-a. “Complete Context Engineering
Guide.” In Claude. Accessed April 6, 2026. https://claude.ai/public/artifacts/f498a4cc-4c45-481c-a6dd-8e1d196dadb0.
Anthropic Engineering. n.d.-b. “Prompt Engineering
Overview.” In Claude API Docs. Accessed April 10, 2026.
https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/overview.
Anthropic Engineering. n.d.-c. “Prompting Best Practices.”
In Claude API Docs. Accessed April 6, 2026. https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/claude-prompting-best-practices.
API Basic Call Structures – World Bank Data Help
Desk. n.d. Accessed June 1, 2026. https://datahelpdesk.worldbank.org/knowledgebase/articles/898581.
ASA, American Statistical Association. 1983. Auto Data
Set from the 1983 Exposition of Statistical
Graphics Technology. https://lib.stat.cmu.edu/data-expo/1983.html.
AWS. n.d. “What Is RAG? - Retrieval-Augmented
Generation AI Explained - AWS.” In Amazon
Web Services, Inc. Accessed June 5, 2026. https://aws.amazon.com/what-is/retrieval-augmented-generation/.
Barret, Tyson, Matt Dowle, Arun Srinivasan, et al. 2025. Data.table:
Extension of ‘Data.frame‘. https://r-datatable.com.
Bartley, Kevin. 2024. “Data Statistics (2025) -
How Much Data Is There in the World?” In
Rivery. https://rivery.io/blog/big-data-statistics-how-much-data-is-there-in-the-world/.
Brown, Tom B., Benjamin Mann, Nick Ryder, et al. 2020. Language
Models Are Few-Shot Learners.
arXiv:2005.14165. arXiv. https://doi.org/10.48550/arXiv.2005.14165.
Chang, Winston. n.d. R Graphics Cookbook, 2nd
Edition. Accessed May 22, 2026. https://r-graphics.org/.
Chat with Large Language Models. n.d. Accessed
August 15, 2025. https://ellmer.tidyverse.org/index.html.
“Claude Code Create Custom Subagents.” n.d. In
Claude Code Docs. Accessed April 19, 2026. https://code.claude.com/docs/en/sub-agents.
“Claude Code Define Your Agent.” n.d. In
Claude API Docs. Accessed April 19, 2026. https://platform.claude.com/docs/en/managed-agents/agent-setup.
Csardi, Garbor. 2022. Keyring: Access the System
Credential Store from R. https://r-lib.github.io/keyring/index.html.
DAIR-AI. 2025. Prompt Engineering Guide. https://www.promptingguide.ai/.
Davenport, Thomas H., and D J. Patil. 2012. “Data
Scientist: The Sexiest Job of the 21st
Century.” Harvard Business Review October
2012: 70–76. http://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century/ar/1.
Eurostat. n.d. Data Access via API - User
Guides. Accessed June 1, 2026. https://ec.europa.eu/eurostat/web/user-guides/data-browser/api-data-access.
Firke, Sam. 2024. Janitor: Simple Tools for
Examining and Cleaning Dirty Data. https://sfirke.github.io/janitor/.
Fox, John, and Sanford Weisberg. 2019. An Companion to
Applied Regression. Third. Sage. https://www.john-fox.ca/Companion/.
Friedman, Jerome, Trevor Hastie, and Robert Tibshirani. 2010.
“Regularization Paths for Generalized Linear
Models via Coordinate Descent.” Journal
of Statistical Software 33 (1): 1–22. https://doi.org/10.18637/jss.v033.i01.
Ggrepel: An R Package. n.d. Accessed May 22, 2026.
https://ggrepel.slowkow.com/.
Godsey, Brian. 2017. Think Like a Data Scientist.
Manning.
Grolemund, Garrett, and Hadley Wickham. 2011. “Lubridate:
Dates and Times Made Easy with
Lubridate.” Journal of Statistical Software 40 (3):
1–25. https://www.jstatsoft.org/v40/i03/.
Grolemund, Garrett, and Hadley Wickham. n.d. R for Data
Science. https://r4ds.had.co.nz/.
Groq. n.d. API Reference - GroqDocs.
Accessed June 4, 2026. https://console.groq.com/docs/api-reference#chat-create.
Hadley Wickham. 2016. Ggplot2: Elegant Graphics for
Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org/.
Hadley Wickham, Danielle Navarro, and Thomas Lin Pedersen. n.d.
Ggplot2: Elegant Graphics for Data
Analysis (3e). Accessed May 22, 2026. https://ggplot2-book.org/.
Horst, Allison, Alison Presmanes Hill, and Kristen B Gorman. 2020.
Palmerpenguins R Data Package. https://doi.org/10.5281/zenodo.3960218.
Ian Fellows. 2022. Wordcloud: Word Clouds.
Comprehensive R Archive Network. https://doi.org/10.32614/CRAN.package.wordcloud.
Institute of Statistics (INSTAT). 2025. Statistical
Database. https://databaza.instat.gov.al:8083/pxweb/en/DST/.
Institute, QLB Brain. 2017. Stunning Neuroscience Images. https://qbi.uq.edu.au/blog/2017/07/stunning-neuroscience-images.
James, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani.
2023. An Introduction to Statistical
Learning with Applications in R.
2nd ed. Springer. https://www.statlearning.com.
Janitor: Simple Tools for Examining and
Cleaning Dirty Data — Janitor-Package. n.d. Accessed
May 22, 2026. https://sfirke.github.io/janitor/reference/janitor-package.html.
Kalinowski, Tomasz, JJ Allaire, and François Chollet. 2025. Keras3:
R Interface to Keras. https://keras3.posit.co/.
Kanwal, Maxinder S., Avinash S. Ramesh, and Lauren A. Huang. 2013. A
Novel Pseudoderivative-Based Mutation Operator for Real-Coded Adaptive
Genetic Algorithms. 2:139. F1000Research. https://doi.org/10.12688/f1000research.2-139.v2.
Kaplan, Daniel, and Randall Pruim. 2023. Ggformula: Formula
Interface to the Grammar of
Graphics. https://www.mosaic-web.org/ggformula/.
Karatzoglou, Alexandros, Alex Smola, Kurt Hornik, National ICT Australia
(NICTA), Michael A. Maniscalco, and Choon Hui Teo. 2024. Kernlab:
Kernel-Based Machine Learning Lab. https://CRAN.R-project.org/package=kernlab.
Kelechava, Brad. 2018. “The SQL Standard -
ISO/IEC 9075:2023 (ANSI
X3.135).” In The ANSI Blog. https://blog.ansi.org/sql-standard-iso-iec-9075-2023-ansi-x3-135/.
Keras: Deep Learning for Humans. n.d. Accessed May
28, 2026. https://keras.io/.
Kingma, Diederik P., and Jimmy Ba. 2017. Adam: A Method
for Stochastic Optimization. arXiv:1412.6980. arXiv.
https://doi.org/10.48550/arXiv.1412.6980.
Kuhn, Max, and Hadley Wickham. 2020. Tidymodels: A Collection of
Packages for Modeling and Machine Learning Using Tidyverse
Principles. https://www.tidymodels.org.
Lin, Hause, and Tawab Safi. 2025. “Ollamar: An R
Package for Running Large Language Models.” Journal of Open
Source Software, ahead of print. https://doi.org/10.21105/joss.07211.
Luo, Junyu. 2026. Luo-Junyu/Awesome-Agent-Papers.
https://github.com/luo-junyu/Awesome-Agent-Papers.
Luo, Junyu, Weizhi Zhang, Ye Yuan, et al. 2025. Large Language
Model Agent: A Survey on Methodology,
Applications and Challenges.
arXiv:2503.21460. arXiv. https://doi.org/10.48550/arXiv.2503.21460.
Mark Lodato. n.d. A Visual Git Reference. Accessed
May 30, 2026. https://marklodato.github.io/visual-git-guide/index-en.html.
Mei, Lingrui, Jiayu Yao, Yuyao Ge, et al. 2025. “A
Survey of Context Engineering for Large
Language Models.” In arXiv.org. https://arxiv.org/abs/2507.13334v2.
Mosaic Plots in the Ggplot2
Framework. n.d. Accessed May 22, 2026. https://haleyjeppson.github.io/ggmosaic/.
Myer, David. 2024. E1071: Misc Functions of the
Department of Statistics, Probability
Theory Group. https://cran.r-project.org/web/packages/e1071.
Neal Richardson, Ian Cook, Nic Crane, et al. 2026. Arrow:
Integration to ’Apache’
’Arrow’. https://github.com/apache/arrow/.
Nohe, Patrick. 2017. What Is the Dark Web? https://www.thesslstore.com/blog/what-is-the-dark-web/.
Ollama. 2025. https://ollama.com.
Ooms, Jeroen. 2014. “Jsonlite: The Jsonlite
Package: A Practical and Consistent
Mapping Between JSON Data and R Objects.”
arXiv:1403.2805 [Stat.CO]. https://arxiv.org/abs/1403.2805.
Ooms, Jeroen. 2023. Jasonlite Vignette: Getting Started
with JSON and Jsonlite. https://cran.r-project.org/web/packages/jsonlite/vignettes/json-aaquickstart.html.
Open Data Inventory—Global Index of
Open Data - Open Data Inventory. n.d.
Accessed May 8, 2025. https://odin.opendatawatch.com/.
OpenAI. 2025. Prompt Engineering - OpenAI API. https://platform.openai.com/docs/guides/prompt-engineering.
OpenAI. 2026. A Practical Guide to Building Agents. https://openai.com/business/guides-and-resources/a-practical-guide-to-building-ai-agents/.
OpenAI Developers. n.d. Agents SDK. Accessed April
16, 2026. https://developers.openai.com/api/docs/guides/agents.
OWASP Foundation. n.d. Least Privilege Principle.
Accessed April 19, 2026. https://owasp.org/www-community/controls/Least_Privilege_Principle.
Pebesma, Edzer. 2018. “Sf: Simple Features for
R: Standardized Support for Spatial
Vector Data.” The R Journal 10 (1): 439–46. https://r-spatial.github.io/sf/.
Plaat, Aske, Max van Duijn, Niki van Stein, Mike
Preuss, Peter van der Putten, and Kees Joost Batenburg. 2025.
“Agentic Large Language Models, a Survey.” In
arXiv.org. https://doi.org/10.1613/jair.1.18675.
Plotly r Graphing Library in R. n.d. Accessed May
23, 2026. https://plotly.com/r/.
Posit. 2025a. Posit Cheatsheets. https://posit.co/resources/cheatsheets/.
Posit. 2025b. Positron. https://positron.posit.co/.
Posit. 2025c. “RStudio IDE User Guide.” In
RStudio User Guide. https://docs.posit.co/ide/user/.
Posit. 2026. “Quarto Guide.” In
Quarto. https://quarto.org/docs/guide/.
Positron. n.d.-a. “Guide for Positron
Assistant.” In Positron. Accessed April 18, 2026.
https://positron.posit.co/assistant.html.
Positron. n.d.-b. “Positron Assistant Getting
Started.” In Positron. Accessed April 18, 2026.
https://positron.posit.co/assistant-getting-started.html.
Quarto. 2025. Posit.co. https://quarto.org/.
Rashida048. 2020. Machine Learning: Gradient
Descent Concept – Regenerative. https://regenerativetoday.com/machine-learning-gradient-descent-concept/.
Robinson, Julia Silge and David. n.d. Text Mining with
R. Accessed April 12, 2020. https://www.tidytextmining.com/.
Ruman. 2023. “Convex Vs. Non-Convex Functions:
Why It Matters in Optimization
for Machine Learning.” In Medium. https://rumn.medium.com/convex-vs-non-convex-functions-why-it-matters-in-optimization-for-machine-learning-39cd9427dfcc.
Sahoo, Pranab, Ayush Kumar Singh, Sriparna Saha, Vinija Jain, Samrat
Mondal, and Aman Chadha. 2024. “A Systematic Survey
of Prompt Engineering in Large Language
Models: Techniques and
Applications.” In arXiv.org. https://arxiv.org/abs/2402.07927v2.
Silge, Julia, and David Robinson. 2023. Tidytext: Text
Mining Using Tidy Tools. https://juliasilge.github.io/tidytext/.
Silge, Julia, and David Robinson. 2025. Tidytext: Text
Mining with R. O’Reilly Media, Inc. https://www.tidytextmining.com/.
Simple Tools for Examining and
Cleaning Dirty Data. n.d. Accessed May 22, 2026. https://sfirke.github.io/janitor/index.html.
Sjoberg, Daniel D., Karissa Whiting, Michael Curry, Jessica A. Lavery,
and Joseph Lamarange. 2021. “Reproducible Summary
Tables with the Gtsummary Package.” The R
Journal 13 (1): 570–80. https://doi.org/10.32614/RJ-2021-053.
Stryker, Ivan Belcic, Cole. 2024. What Is Data
Engineering? IBM. https://www.ibm.com/think/topics/data-engineering.
Takeda, Hajime. 2026. “How to Build a
Production-Ready Claude Code Skill.” In Towards
Data Science. https://towardsdatascience.com/how-to-build-a-production-ready-claude-code-skill/.
Team, R Core. 2018. R: A Language and
Environment for Statistical Computing. R
Foundation for Statistical Computing. https://www.R-project.org/.
“TensorFlow.” n.d. In TensorFlow.
Accessed May 28, 2026. https://www.tensorflow.org/.
“The Visual Display of Quantitative
Information.” n.d. In Edward Tufte. Accessed May
22, 2026. https://www.edwardtufte.com/book/the-visual-display-of-quantitative-information/.
Ushey, Kevin, JJ Allaire, and Yuan Tang. 2023. Reticulate: R
Interface to Python. https://rstudio.github.io/reticulate/.
van Rossum, Guido. 2025. Python. https://www.python.org/.
Vaswani, Ashish, Noam Shazeer, Niki Parmar, et al. 2023. Attention
Is All You Need. arXiv:1706.03762. arXiv. https://doi.org/10.48550/arXiv.1706.03762.
VoltAgent/Awesome-Claude-Code-Subagents. 2026.
VoltAgent. https://github.com/VoltAgent/awesome-claude-code-subagents.
Waring, Elin, Michael Quinn, Amelia McNamara, Eduardo Arino d la RUbia,
Shu Hao, and Shannon Ellis. 2025. Skimr: Compact and
Flexible Summaries of Data. https://docs.ropensci.org/skimr/.
Weng, Lilian. 2023. Prompt Engineering. https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/.
Wickham, Hadley. 2010. “A Layered Grammar of
Graphics.” Journal of Computational and
Graphical Statistics 19 (1): 3–28. https://doi.org/10.1198/jcgs.2009.07098.
Wickham, Hadley. 2016. Ggplot2: Elegant Graphics for
Data Analysis. Springer-Verlag New York. https://ggplot2.tidyverse.org/.
Wickham, Hadley. 2023a. Forcats: Tools for
Working with Categorical Variables
(Factors). https://forcats.tidyverse.org/.
Wickham, Hadley. 2023b. Httr2: Perform HTTP Requests
and Process the Responses. https://httr2.r-lib.org/.
Wickham, Hadley. 2023c. Modelr: Modelling Functions
That Work with the Pipe. https://modelr.tidyverse.org/.
Wickham, Hadley. 2023d. Stringr: Simple,
Consistent Wrappers for Common String
Operations. https://stringr.tidyverse.org/.
Wickham, Hadley, Mara Averick, Jennifer Bryan, et al. 2019.
“Welcome to the Tidyverse.” Journal of Open Source
Software, no. 43: 1686. https://doi.org/10.21105/joss.01686.
Wickham, Hadley, and Jennifer Bryan. 2023. Readxl: Read Excel
Files. https://readxl.tidyverse.org.
Wickham, Hadley, Mine Cetinkaya-Rundel, and Garrett Grolemund. 2023.
R for Data Science (2e). O’Reilly Media, Inc. https://r4ds.hadley.nz/.
Wickham, Hadley, Romain Francois, Lionel Henry, Kirill Muller, and Davis
Vaughan. 2023. Dplyr: A Grammar of Data
Manipulation. https://dplyr.tidyverse.org.
Wickham, Hadley, Jim Hester, and Jennifer Bryan. 2024. Readr:
Read Rectangular Text Data. https://readr.tidyverse.org/.
Wickham, Hadley, Davis Vaughan, and Maximilian Girlich. 2023. Tidyr:
Tidy Messy Data. https://tidyr.tidyverse.org.
Wikipedia. 2025. “Data Science.” In Wikipedia. https://en.wikipedia.org/wiki/Data_science.
World Bank. n.d.-a. About the Indicators API
Documentation. Accessed June 1, 2026. https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation.
World Bank. n.d.-b. Indicator API Queries.
Accessed June 1, 2026. https://datahelpdesk.worldbank.org/knowledgebase/articles/898599-indicator-api-queries%3E.