webkid Blog

Last year we've worked on a dashboard prototype which visualizes data publicly released by the BASt (German Federal Highway Research…

An explanation about how to use Scribbletune to create MIDI files from data.

Jupyter Notebooks are a useful tool when it comes to visualizing and analysing data. This blog post presents basic charts and explains how to create them.

In our latest project "Berlin an deiner Linie" with the Interactive Team of the Berliner Morgenpost we visualized data along 250 public transportation lines in Berlin.

This morning, Britain voted to leave the European Union. Here are some maps and charts that show the referendum results and what consequences might follow.

In our recent project we visualized how green German cities really are. It was the first time the interactive team of the Berliner Morgenpost used satellite imagery for a data visualization.

In our latest project, we have visualized the bicycle roads in Berlin. The interactive map is implemented using MapboxGL and a raster tile fallback for older browsers which do not support WebGL.

When we build visualizations, we sometimes need small backends for our applications which enable our clients to change data after launch. This is especially useful when the app should update automatically.

In this post I have collected some techniques that I used recently when creating D3 Charts. These examples might help you to improve the readability and usability of your charts.

The refugee crisis is the ubiquitous topic in international media for the past months. Many news outlets have tried to support their coverage through data visualizations - resulting in some powerful interactives.

In this article we will give you a quick overview about open source javascript chart libraries (mostly D3 based). Just leave a comment if you miss one.