Perspectives on data science

DAPS - Data-Analytic Problem Structure
business understanding

Models for structuring big-data and data-analytics projects typically start with a definition of the project’s goals and the business value they are expected to create. The…

Jeroen de Mast, Joran Lokkerbol
Apr 12, 2024

The Design Philosophy of Great Tables
visualization
We’ve spent a lot of time thinking about tables. Tables—like plots—are crucial as a last step toward presenting information. There is surprising sophistication and nuance in…
Rich Iannone and Michael Chow
Apr 4, 2024

Portable dataflows with Ibis and Hamilton
composable data stack
data engineering
This post showcases how Ibis and Hamilton enable dataflows that span execution over SQL and Python. Ibis is a portable dataframe library to write procedural data…
Thierry Jean
Apr 2, 2024

Modern, hybrid, open analytics
composable data stack
data engineering
As a Python data user, I’ve wanted a more modular, composable, and scalable ecosystem. I think it’s here. Wes McKinney released pandas c. 2009 to bring dataframes into…
Cody Peterson
Jan 25, 2024

Getting into Python

How to get into Python, the most widely used programming language for data science.

Daniel Kapitan
Dec 21, 2023

Data visualization with Vega-Altair

I am a big fan of the Vega-Altair ecosystem for data visualization, because it not only helps me in creating appealing, interactive visualizations, but it also helps me to…

Daniel Kapitan
Dec 21, 2023

Analytical problem solving
modeling

I co-authored a peer-reviewed paper that compares the different modeling approaches for analytical problem solving.

Daniel Kapitan, Jeroen de Mast, Stefan Steiner, Wim Nuijten
Mar 10, 2022

Stop aggregating away the signal in your data
exploratory data analysis
visualization

By aggregating our data in an effort to simplify it, we lose the signal and the context we need to make sense of what we’re seeing. Originally published on <a…

Zan Armstrong
Mar 3, 2022

RIP correlation. Introducing the Predictive Power Score.
exploratory data analysis

We define the Predictive Power Score (PPS), an alternative to the correlation that finds more patterns in your data. Originally published on <a…

Florian Wetschoreck
Apr 23, 2020

The Precision-Recall Plot Is More Informative than the ROC Plot
performance metrics

An introduction to performance metrics for binary classification. Originally published on <a…

Paul van der Laken, Daniel Kapitan
Aug 16, 2019
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