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Links 1 through 10 of 83 by Tom Armitage tagged data

"Next time somebody's trying to sell you on the awesomeness of their new data technique, ask to see a prototype. If they haven't got that far, it's snake oil." Everything in this article is, basically, true. It's a really good run-down of all the issues that emerge in the reality of dealing with data-driven products at any scale."

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"I’ve been playing with glanceables and synecdoches for a while now, until I came up with something that had to be got out of my head, and into the world. So here it is: Romance has lived too long upon this river; a single-serving web page that tells you how high the tide is at London Bridge: explicitly close up, but also, roughly, at a glance". This is great. Also: James has an ear for domain names.

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"Please don’t believe any of this. Go instead to the data and have a look for yourself." Which is, for this audience, a very good way of putting it.

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"Sahel Sounds rounded up music salvaged from the discarded mobile phone memory chips in West Africa." Wow; the after-life of dead electronic media made real.

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"Both within the academy and within tech startups, we’ve been hearing some similar questions lately: Where can I find a good data scientist? What do I need to learn to become a data scientist? Or more succinctly: What is data science?" Great starting point; looking forward to more from the blog.

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"The GPS looks forward for me, projecting all my future successes and failings. Every bit of information helps to optimise my path. Contour maps spring out of the hills surrounding, and round the corner ahead. It took a space shuttle and an army of volunteers to help me shift down a gear, and hopefully the data exhaust I leave behind will help someone do it better next time." Tom is brilliant. I miss him.

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"This is the part that interests me: What happens to a person's experience of prettymaps when the echoes of their own life start to make up the map itself? What happens when the only streets on a map are those you and your friends have traveled?"

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"...don’t confuse this kind of data exploration, where the goal is to size up the data, with building proper data plumbing, where you want robustness and maintainability. Perl and bash scripts are nice for the former, but can be a nightmare for building data pipelines." Lots of good stuff in this article; this was a highlight.

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"I thought this was a fascinating take on the need within companies for stories... Companies spend a lot of money looking for these stories. Traditional product companies had to ask people and users to tell their stories, normally through market research. Web companies are at a huge advantage: they have rivers of usage data flowing through their servers, and the problem inverses – how to make sense and tease out meaning and interest from such a torrent." This is very good; I'm looking forward to future installments.

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"Ben Gimpert is a friend of the Open Library. He and I got together over lunch a few months ago to talk about big data, statistical natural language processing, and extracting meaning from Open Library programmatically. His efforts are beginning to bear some really interesting fruit, and while we work out how we might be able to present it online, we thought you might be interested to hear what he’s been up to." Answer: good things. Ben is awesome, and this work sounds great. (I can't quote a suitable passage, so George's intro will have to do).

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