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A web scraping toolkit for journalists

Web scraping is one of the most useful and least understood methods for journalists to gather data. It’s the thing that helps you when, in your online research, you come across information that qualifies as data, but does not have a handy “Download” button. Here’s your guide on how to get started — without any coding necessary.

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Scraping for everyone

One of the most important skills for data journalists is scraping. It allows us to download any data that is openly available online as part of a website, even when it’s not supposed to be downloaded: may it be information about the members of parliament or – as in our christmas-themed example – a list of christmas markets in Germany.

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Extracting geodata from OpenStreetMap with Osmfilter

When working on map related projects, I often need specific geographical data from OpenStreetMap (OSM) from a certain area. For a recent project of mine, I needed all the roads in Germany in a useful format so I can work with them in a GIS program. So how do I do I get the data to work with? With a useful little program called Osmfilter.

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From the data to the story: A typical ddj workflow in R

This tutorial will guide you through the standard steps of the data journaling workflow in the R programming language using a simple example.

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