innovation & design

Tableau: Five questions to check your visualizations

Tableau, an example for a low-code approache, is well known for its intuitive features, allowing us to connect to Excel Files and easily visualise data in two-dimensional spaces. Basic interaction with Tableau, consist of drag, drop, checking features. so let's drop two variables into Tableau.

python

Python's virtual environments

Effective environment management saves time and allows developers to create an isolated software product such that collaborators or contributors can recreate your environment and run your code. This, of course, also applies to jupyter notebooks.

Raspberry Pi Pico

How ‘new’ is the new Raspberry Pi Pico board?

Raspberry Pi’s first microcontroller chip (RP2040) was only introduced in January 2021, the amount of documentation, example code and tutorials is truly astonishing.

data analysis

Visualizations for Density Estimations and T-tests

How do visualizations contribute to a better understanding of numerical results? Libraries and methods considered are seaborn, pyplot, histograms and kernel density estimations.

mapping

Building the observation mapper

Of course, you could jump straight to the building guide: How was the mapper developed What defines the observation mapper Data collection overview Building guide Annex A: List of materials

mapping

What is ‘informal learning’ while categorizing observations?

All learning theories include an element where learning is described as lasting change. That is, we change what we know through experience. What exactly counts as ‘experience’ and what we mean by ‘lasting change’ is a matter of debate and this is where learning theories enter the field.

geospatial data

IPyLeaflet: The map is not the territory.. so what should it be?

IPyLeaflet is a remarkable python library for mapping. It supports us in emphasising the things we discover. The example included looks at a hypothetical relationship between overflowing rubbish bins and increased pollution of trees nearby in a viennese neighbourhood.

diy

PSLab.io - Pocket Science Lab: First impressions from a ‘different’ board

PSLab is a small USB powered hardware extension for your Android phone or PC that lets you measure all kinds of things. PSLab comes with a built-in Oscilloscope, Multimeter, Wave Generator, Logic Analyzer, Power Source ...

visualization

Rendering data on a map with Kepler.gl

This blogpost documents how to encode data on a map. Information about a journey (list of places) are collected via a DIY self-tracking gadget. Code and data set are available at Github.

analytics

Google’s Data Studio: Exploring LinkedIn data or website visitors

When there isn’t enough time for developing your own data visualization, dashboard that allow sharing are a great option.

MongoDB

Visualize Your Spotify Habits with MongoDB Charts

The approach briefly described in this post, relies on MongoDB Shell (exploring functionality) and two cloud services: MongoDB Atlas (hosting the data) and MongoDB Chart (visualizing the data). The post

maker movement

Rediscovering the value of open source in times of crisis

If there is one thing, we should learn from an open source software perspective, then it’s to resist the urge to go back to a comfortable pre-Covid-19 situation. Let’s preserve what went well and let’s embrace the complexity and uncertainty of our quest for a more ‘open’ digitization.

education

Online learning and educational quasi-markets

Taking into account the special situation of educational quasi-markets, where innovation management is different to fully competitive markets, such as the hardware and software industry, we were interested in what promotes or stops the adoption of novel ways to implement experiential learning.

mini project

Hacking the knowledge of maker communities for Education

The project addresses the need to rethink education to be effective in a changing environment. More concretely we look at the intersection of craft-based learning, digital fabrication technologies and schools’

mini project

An empirically informed taxonomy for the Maker movement

Classifying the terminology used to describe the fundamental activities in making is the purpose of analyzing data from Google Search, Twitter and Wikipedia.