Prototypes

This page collects personal analytical prototypes, small data products and experiments.

They are artifacts from a learning-by-doing process in which I explore how current AI developments can make data analysis more accessible and interactive, reveal more insight from existing data, and augment or automate parts of analytical workflows.

Driver Analysis App

An interactive prototype for exploring drivers, priorities and decision-relevant patterns in survey data.

The app demonstrates how analytical results can move beyond static output and become a more dynamic decision-support environment for stakeholders. It was also an attempt to explore how AI-supported development can make it much faster to turn research results into stakeholder-oriented apps, complementing traditional reports with more interactive and explorable deliverables.

Status: Prototype
Topics: Driver analysis, survey data, decision support, interactive analytics, R, Shiny

DWD Temperature App

A small data product that uses measurements from official German weather stations to show where today’s highest temperature so far stands compared with historically observed daily highs at the same station.

Weather and climate are often discussed with high emotional intensity, while the underlying data is not always easy to access or interpret. This app makes official DWD measurements more accessible and helps place current temperatures at specific locations in historical context.

Status: Prototype
Topics: Public data, weather data, contextualization, Quarto, R