Notes from csv,conf,v9


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I’ve just come back from a splendid week in Bologna, where I helped run csv,conf,v9 for the first time.

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Commutes within urban areas are the shortest


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A couple of weeks ago I saw this interesting map of commute times in Germany made by Datawrapper’s co-CEO David Kokkelink, noting how commutes into major cities are the longest in Germany.

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The Open Data Delusion


Image Photograph: The Helen Hamlyn Centre for Design

Open Data is about the “Data” as much as it is about the “Open.” Some stories from my experience as an Open Data activist and adviser illustrate it.

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QGIS – An ATLAS of buildings by council


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Another little QGIS step-by-step note to my future self.

Prerequisites: This time I was looking to create a visualization of London councils showing the buildings that come from Open Street Map, using the handy downloads from Geofabrik to get the buildings shapefile into QGIS. In order to add the “by council” element, I also downloaded an official shapefile of the boundaries of London councils (e.g. from here) and then joined the two layers using QGIS geoprocessing tools. I’ll leave this to you as exercise, but the final output is a layer with the buildings and a local authority unique ID.

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Playing With Gpx Data from Strava


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I’ve been wanting to try using gpx data for a while. You can record your runs with a variety of apps, and even edit those with a text editor, as gpx is a format that is relatively human-readable. What I realised, though, is that I’d been using Strava quite a lot when we were in lockdown in 2020, my hour of daily air being, often, a jog. Personal best after personal best (which didn’t take much, as I’d never really been a runner before) I got to know areas close to where I lived that were suitable for running, and also venturing for longer runs, including some over 10k.

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Three things about data...


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First published on LinkedIn

Quite a few interesting discussions at Think Data yesterday, both on and off stage.

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Calculating the average face from a set of photos using OpenCV on Colab


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TL;DR Here is the Colab notebook.

A few years back, the the UK Parliament released photo portraits of each Member of Parliament. So, I thought, it would be cool to do something data-driven with that image set. I had worked before with algorithms that allowed to find reference points on a face, using Terence Eden’s code that found the most similar painting to a face.

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Making a map of the closest capital using QGIS


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I saw this map on Facebook. It asks what capitals are closest to each Italian town, creating what looks like a continuous map to display the result. I like this kind of thing, so I set out to replicate it using QGIS, and making the process as replicable as possible.

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