Blog Posts

Writing to everyone.

Beyond Jupyter Notebook

Analytics , Tools

For a lot of data scientists, notebooks are the only way they have learned to write code.

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Easy development environments with Operation

Like more and more engineers, data scientists are moving to Docker .

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On average we will prefer using distribution

Analytics

The word “average” comes from Arabic “awar” which means “defects” or “something partially damaged”.

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Scrollytelling: Storytelling for The Next Decade

Analytics , Society

Reading the New York Times, looking at your Instagram feed or watching an ad on TV: storytelling is everywhere.

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Microsoft Excel in the era of big data

Analytics

It’s a tool we all already know and use in our everyday life.

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Player similarities & interpolation

Data viz , Football

Analyzing video, finding players from similar teams, traveling all over the world to scouts player: scooting activity can be long and fastidious.

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Beyond the Goal: Visualizing Expected Assists in Soccer

Data viz , Football

Basketball games have score lines in the triple digits. An NFL game in 2019 might produce a combined double-digit touchdowns.

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PassSonar: Visualizing Player Interactions in Soccer Analytics

Data viz , Football

Democratized thanks to Michael Lewis’ Moneyball (both the book and then the movie adaptation), baseball and basketball have already gone quite far in the realm of sports analytics.

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After raw stats: exploring possession styles with data embeddings.

Data viz , Football

The most basic way to identify a team style of play is to look at possession percentages, pass success rates, tackle rates, the average number of faults per game, etc….

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