Hi, I'm Nicolas Mondon, software engineer and data journalist based in Paris
I'm mostly doing quantitative analysis and data visualisations. For this, I use lots of:
- Python (pandas, numpy, scikit-learn, jupyter, spacy) and node.js (puppeteer) for scraping and data analysis (statistics, NLP, machine learning)
- Typescript, React, Svelte, d3, SVG, canvas, WebGL, topojson, RxJS or firebase for data visualisations
But a part of my job is also to industrialize and build tools to improve our processes, reuse components through dedicated libraries or scaffolders.
Here is a short selection of recent projects I've made:
Flux des scores de Ligue 1 : a sankey diagram variation applied to football scores
- design, development
Municipales 2020 : les résultats pour les villes de plus de 3 500 habitants
- a live dashboard for the french local elections
- design, implementation (including a routine to retrieve and process the data)
Qui peut remporter le second tour des municipales dans votre commune?
- a search engine to analyse political alliances
- processing, design, implementation
Votre département a-t-il enregistré une surmortalité importante ?
- processing + design + implementation
De l’élégance noire à l’audace du néon : quand les couleurs racontent la mode
- for this piece, I've analyzed thousands of images from fashion collections with a tensorflow model to extract silhouettes. Then I've used a quantization algorithm to get color palettes for each brand. Finally, I build a scrollytelling visualization with arcs patterns to show the generated palettes.
Ligue 1 ranking
- a tool to visualize the evolution of Ligue 1's ranking, made in d3
Quelles études ont fait nos ministres ?
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a scrollytelling piece and a Sankey chart variation, made in d3
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Le confinement a-t-il permis d’endiguer le nombre des décès ?
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Votre ville est-elle un bastion de la droite ou de la gauche ?