Descriptive Analytics Repository

An overview of the descriptive analytics repository and why contextual, sub-population-aware analysis is essential before modeling business data.
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code
analysis
Author

Rajiv Sambasivan

Published

April 23, 2026

Keywords

descriptive analytics, business data analysis, sub-populations, model readiness, contextual analysis, repository

Descriptive Analytics

The apps that you can build with your data and your data team is only as good as your understanding of the data. This understanding is built by describing the different facets. Understanding these facets is essential for developing a good analysis approach and for building good models.

I hope to build examples of descriptive analytics for at least longitudinal and cross-sectional data. Graphs will be a big part of the descriptive analytics. I will also include code for doing descriptive analytics in R and Python. The repository will be a work in progress and I will add to it as I learn more about descriptive analytics and as I get feedback from readers.

The descriptive analytics repository

Citation

BibTeX citation:
@online{sambasivan2026,
  author = {Sambasivan, Rajiv},
  title = {Descriptive {Analytics} {Repository}},
  date = {2026-04-23},
  url = {https://rajivsam.github.io/r2ds-blog/posts/descriptive_analytics_repo},
  langid = {en}
}
For attribution, please cite this work as:
Sambasivan, Rajiv. 2026. “Descriptive Analytics Repository.” April 23. https://rajivsam.github.io/r2ds-blog/posts/descriptive_analytics_repo.