Showing posts with label Information. Show all posts
Showing posts with label Information. Show all posts

Tuesday, March 4, 2025

The MoAT: The Museum of All Things

This is just cool: The MoAT: The Museum of All Things

From the website: The Museum of All Things (or "The MoAT") is a nearly-infinite virtual museum that you can visit for free on your computer! You can find exhibits on millions of topics, from Arts in the Philippines to Zinc deficiency! The breadth of the museum is made possible by downloading text and images from Wikipedia and Wikimedia Commons. Every exhibit in the museum corresponds to a Wikipedia article. The walls of the exhibit are covered in images and text from the article, and hallways lead out to other exhibits based on the article's links.

One caveat: you need to actually download the museum software onto your computer:

Thursday, February 20, 2025

The Milky Way Map

This is apparently the largest map of the Milky Way: https://archive.eso.org/scienceportal/home. Very cool, but I'm not sure what anyone can do with this...here's a little more beta from Joe Kerski.

Friday, June 7, 2024

Become a data viz SUPERSTAR

This loks promising: Become a data viz SUPERSTAR is a 5-part YouTube series from the folks @ storytelling with data to become, well, a data viz superstar. Could be usefuf for teaching data analysis and data viz.

Monday, June 26, 2023

Color & Contrast

 An interactive guide to color & contrast (by Nate Baldwin) is just that - a comprehensive guide for exploring and learning about the theory, science, and perception of color and contrast. The details get a little wonky, but the section on UI & Data Visualization offers sound practical advice.

Friday, October 14, 2022

Linear Regression

Linear Regression: A Visual Introduction To (Almost) Everything You Should Know is a great and interactive way to learn, well, about linear regression. It's a little on the stats-nerdy side, but well-done, especially the interactive charts.

Monday, January 31, 2022

Common Sense Education

Common Sense Education is a large non-profit 'dedicated to improving the lives of all kids and families by providing the trustworthy information, education, and independent voice they need to thrive in the 21st century.'

There are lot's of players in that space directly or indirectly promoting some kind of agenda, so be careful! That being said, they seem to offer good educational materials related to digital citizenship and Edtech.

Thursday, December 23, 2021

The Memex

In his essay 'As We May Think' (from July 1945!), Vannevar Bush describes a future device called 'the memex' and thereby (conceptually) invented Google and smart gizmos. Here, humans create their own associative joins bewteen items of information to build associative trails that can be shared from one memex to another.

Great read, especially Sections 6 and 7.

Friday, November 19, 2021

Scientific Visualization: Python + Matplotlib

Scientific Visualization: Python + Matplotlib (by Nicolas Rougier) is a free open-source book about, well, scientific data viz using these two tools. Read as a PDF, order a printed copy, and dig around on the GitHub for sources and code examples.

Wednesday, April 14, 2021

Saturday, March 27, 2021

Tuesday, March 9, 2021

Five questions for better data communications

This is a great post: Five questions for better data communications walks you through a data viz process.

 Here's a great quote: I slowly came to realize that I was assigning my audience the tedious task of figuring out for themselves what the takeaways were. My visuals should have been highlighting the interesting things to those seeing them for the first time.

Wednesday, January 20, 2021

The COVID-19 Dashboard

Pretty cool data viz: The COVID-19 Dashboard (by informationisbeautiful.net). I like the five side-by-side charts comparing different countries. Obviously, these are absolute values and therefore the larger countries should always stand-out.

Monday, January 18, 2021

Decolonizing Data Viz

Good article by Stephanie Evergreen: Decolonizing Data Viz. Read and then move-on to Data Feminism by Catherine D'Ignazio and Lauren Klein.