Newsletter
13.12.2018 We're reaching the end of the year and I'm finding myself deep in lots of "Best of 2018" type lists. One thing I love about the data viz community is how open it is — people share their work, as for feedback,
Newsletter
06.12.2018 After a brief hiatus for Thanksgiving week (and the one after), I’m back with more data resources for the week. During that time, two big awards happened in the data viz world: the highly acclaimed Information is Beautiful Awards, and the new but equally as exciting
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15.11.2018 Hi there. Last week was thinking about satellites and space. I was also thinking about how data can be used to solve big problems, societal problems. You'll find resources on both of these big questions in this edition of Data Curious. Let's get
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08.11.2018 Welcome back. This week I found myself fascinated by buildings: their height, their location, how they change over time. So expect to find a few resources relating to these questions. You'll also find the usual stuff, like articles to make you think and a few
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01.11.2018 Hello. It’s another edition of Data Curious. Last week I found some fascinating academic research into visual perception and data visualisation. It’s a field that is often ignored, which can be puzzling: how people see things should be the foundation of data visualisation design. Some
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25.10.2018 Welcome to Data Curious. This week includes loads of visual inspiration. The Information is Beautiful Awards voting came to a close last week, and I’m feeling simultaneously inspired and intimidated by the level of work. Each year new innovations emerge in the field of data visualisation
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18.10.2018 Welcome back. It’s another edition of Data Curious. ICYMI, the first edition is . This week I found loads of datasets to play with, along with some tutorials on using Python for scraping, machine learning and making charts with Bokeh. There are also some great reads on
Newsletter
11.10.2018 Welcome to the first edition of Data Curious. Each week I’ll be sending data articles to read, visualisations to explore, datasets to analyse and tutorials to learn from. If you’ve got more questions, check out this intro article on why I started this newsletter. I’