Materials (including data) for a workshop on Palladio - GitHub - miriamposner/palladio_workshop: Materials (including data) for a workshop on Palladio

In languages based on the Latin alphabet, we read horizontally, from left to right. Reading on a diagonal produces cramped necks. Reading vertical text is just not going to happen. So, as much as possible, the text in our graphs should be horizontal. Let’s walk through a demo. I was trying to combat my sense […]

When I’m teaching effective visualization principles, one of the most instructive processes is critiquing published visualizations and reviewing reworks done by professionals. I’ll often show examples from Cole Nussbaumer Knaflic’s blog, Storytelling with Data, and Jon Schwabish’s blog, The Why Axis. Both brilliant! (Also, check out my new favorite blog Uncharted, by Lisa Charlotte Rost, … Continue reading Can’t we just make a Venn diagram? →

This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data.

Data services librarians are often faced with local needs in all 12 data information literacy competencies (Carlson et al. 2011) but may not have the requisite skills in each area to offer services. Gaining expertise in an unfamiliar competency, particularly one which has not historically been associated with the library like “data visualization and representation”, can be challenging. This paper identifies a scaffolding for librarians to gain foundational experience in data visualization and provides a case study on one library’s initial service offering in this area – a “Data Visualization 101” workshop.

In which Figshare is nice, but not branded.

Tech, a la carte

How to tell two radically different stories with the same dataset.

If you’ve seen fewer experimental data visualizations lately, it’s only because the medium has grown up and gotten a job.

Data visualization made easy. A javascript library that extends the popular D3.js to enable fast and beautiful visualizations.

Easel.ly is a simple web tool that empowers anyone to create and share powerful visuals (infographics, posters)... no design experience needed! We provide the canvas, you provide the creativity.

List of syllabi.

Infographics are all over the place nowadays. How do you know which ones to trust? Follow these three easy steps to save yourself from getting duped.

Using United States public library statistics

For students to pick apart.