Fast täglich berichten Journalist*innen von Algorithmen, Daten-Leaks, Studien oder Umfragen. Und trotzdem fehlt vielen das nötige Handwerkszeug, um richtig mit Zahlen umzugehen.
Deshalb veranstalten wir am 25. April eine eintägige Konferenz zu Journalismus mit Daten.
We’re in the process of reorganizing Journocode. Big announcements are coming soon – stay tuned! Unfortunately, that means that this year, we didn’t get around to making our Journocode DDJ Advent Calendar. But we still want to give you something. So this year, you get to make a wishlist: What do you want from Journocode? More workshops, more tutorials, specific topics you’re interested in? We’d love to hear from all of you.
Marcel Pauly, his colleagues from SPIEGEL Data and BR Data evaluated reports from Schufa, the most influential credit agency in Germany. The documents were provided by 2800 volunteers in a crowdsourcing project. Some documents came scanned, some were photographed. It was an OCR nightmare.
A guest post by Marcel Pauly
With less than a month left to apply for this year’s Data Journalism Awards, here are some inside tips from the jury that may help you win one of the twelve prizes up for grabs.
A guest post by Marianne Bouchart, manager of the Data Journalism Awards
What do you need to be the perfect data journalist? Here is an extensive collection of skills you need to become the human Swiss Army knife for data. If you are willing to work 48 hours a day, you’ll get the knack in no time.
A guest post by Steffen Kühne
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.
Note: This tutorial was first published in our data-driven Advent calendar 2018 behind door number 13. You can check it out here.
Soon it’s Christmas! After two data-driven advent calendars (2016 & 2017) this is our third edition! This year we’ve also come up with something special: We’ll have texts by awesome guest authors for you every day! The best data-driven journalism projects of the year, interviews and “Tutorial Thursdays” with tips and tricks from us squirrels!
Go to ProjectOn March 24th, we hosted the JournoCon 2018. A data journalism bootcamp-slash-conference for students, freelance journalists and anyone wanting to learn more about the field. To those who were there: Thank you for making it an amazing day! To those who weren’t: Here’s a recap.
by Sophie Rotgeri, Moritz Zajonz and Elena Erdmann
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.
A guest post by Hans Hack
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.
