Alberto Cairo “Visual Trumpery” Fri Sept 7, 2018

 

Alberto Cairo will talk on Friday Sept 7 at The Hurt Hub (meet & greet 5pm, talk 6pm) about “Visual Trumpery“. (his books above) From his flyer…

The very title of this talk is […] intended to prime you and trick you into believing what is not so.

The English word “trumpery” means worthless nonsense, something that is showy and deceitful at the same time. Trumpery can occur in text, verbally, or visually. This non-partisan talk focuses on the visual, examining misleading charts, graphs, and data maps designed by individuals and organizations from all over the political spectrum.

I’ll use these examples to equip you with a solid understanding of “graphicacy,” the word I use to refer to visual literacy. I believe a literate, numerate, and graphicate citizenry is the best antidote for a world where trumpery runs rampant.

Join me in the fight against it.

Physical Computing reading for Feb 22

John Correll, Igloo White (2004) and Mayo Nissen Unseen Sensors: Constantly Sensing but Rarely Seen (2014) – Blog

Physical Computing reading for Feb 1

Brian Merchant, Everything That’s Inside Your iPhone Motherboard (2017)

Physical Computing readings for Jan 25

• Critical Engineering Manifesto
• Artist Profile: Julian Oliver

Physical Computing readings for Jan 18

Post your responses below (per instructions in the syllabus)

• Sanjay Sarma The Internet of Things: Roadmap to a Connected World (2016)
• The Internet of Things has a dirty little secret: it’s not really yours (2016)

DIG245 Final Projects (fall 2017)

Post a link to your final project in the comments below and email the zipped project to Owen.

DIG245 – Self-Portrait highlights

 

Leroys

Jimmy

Katie

Jeremiah

Ted

Ricky

Jack

Lauren

Fall 2017 Usability Test Results

Paste links to your reports below…

Social Network Analysis workshop

Social Network Analysis workshop
Thursday, Sept 28, 1:40–4:30pm
Wall 210

Network visualization with R

Katherine Ognyanova, Rutgers University Web: http://www.kateto.net
E-mail: katya@ognyanova.net
Twitter: @ognyanova

Network science is a rapidly growing multidisciplinary area that allows us to understand the dynamics of interconnected systems: social, digital, physical, biological, economic, and others. Visualizing network structure provides a key avenue for data exploration and presentation.

This workshop will cover network visualization using the R language for statistical computing (cran.r- project.org) and RStudio (rstudio.com). Participants should have some prior knowledge of R and network concepts. The session will provide a brief overview of network formats, focusing on their structure and representation in key R packages. Attendees will also receive an introduction to major principles of graphics used in the R environment.

The workshop will provide a step-by-step guide describing (through series of examples) the path from raw data to graph visualization in the igraph and Statnet frameworks. The advanced portion of the workshop will touch on dynamic visualization for longitudinal networks and combining networks with geographic maps. We will also discuss ways of converting graphs in R to interactive JavaScript/3D-based visualizations for the Web.

Instructions for participants:

The following steps will help you prepare for the workshop (though you can also complete them when we meet if you have not had the chance to do so in advance).

Please download and install the latest version of R (cran.r-project.org) and RStudio (rstudio.com).

We will use several key R packages that you can install by typing: install.packages(“igraph”)
install.packages(“network”)
install.packages(“sna”)

install.packages(“ndtv”) install.packages(“threejs”) install.packages(“visNetwork”)

Optional packages that are not mission critical for the workshop but will allow you to do more advanced work can be installed by typing:

install.packages(“RColorBrewer”) install.packages(“extrafont”) install.packages(“ggplot2”) install.packages(“png”) install.packages(“animation”) install.packages(“maps”) install.packages(“geosphere”)

At the end of the workshop, participants will have some time to do hands-on work visualizing their own data. If you do not have a network in mind, you can work on one that will be provided by the instructor.

If you have questions about the workshop or network visualization in general, feel free to contact me at katya@ognyanova.net or on Twitter at @ognyanova.

DIG245: Box Model Self-Portraits (fall 2017)

Post a link to your project below.