Joypy

Not one to miss a fad in data visualisation, I noticed joyplots getting a lot of attention over at reddit’s dataisbeautiful subreddit and have given a go at producing some myself – I’m hoping to integrate them into a talk I’m giving this Wednesday as part of the RSPSoc‘s annual conference, and am hoping they make enough sense to include.

I’m tinkering with the joypy library, a set of scripts whose sole purpose is to produce these types of plots, built ontop of the excellent (and frequently used by myself) seaborn plotting library.

For now, I need to get of the fad wagon and keep on writing!

1_Overstrand_Quality_100.0.png

A sample joyplot I’ve produced.

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Kaggle data

I came across Kaggle after speaking with a friend of mine who’s doing a course in data science at General Assembly. It claims to be the ‘home of data science’ and hosts competitions which various groups of people compete in for cash prizes, as well as the prestige of ranking within the upper echelons of data science folk.

Upon browsing some of the featured datasets, I felt like it’d be a good idea to present one of particular interest to computer vision/photogrammetric folk. The right whale recognition competition running at the moment presents a pretty interesting challenge for any budding image processors, and is one which I’ve been thinking about myself.

christinkhan_rightwhalemomcalf_640

Fewer than 500 right whales exist

It’s a good opportunity to anyone in search of a challenge which combines modern computer vision with concepts like conservation and climate change (Though this is strictly a computer vision challenge, images have been stripped of any geotagging/exif information). So, if you think you’re up to the challenge of building a whale face recognition software, I recommend you get involved 🙂