Visualization and Data Mining

Working with D3, Part 2

When did I eat all those candies? This second visualization will answer the above question, and also which candies I ate. This visualization will show each day, and within each day it will show the time period that I had candy, and an image of the candy will designate what kind of candy, and how…. Continue reading “Working with D3, Part 2”.

Working with D3, Part One.

Track-n-Treat Halloween is great. Free candy. And I have six kids to go out and get it for me. I cull some of the finest chocolates from their bags after trick-or-treating and enjoy them throughout the next week. We usually eat everything within a week… This year I decided to track how much candy I…. Continue reading “Working with D3, Part One.”.

The Ghost in the Graph: A Recap on Time, Things, and Entanglement

[This post is the protein-rich version of a series of related posts from our Praxis site, with fresh reflections on the process and product now that I’m done. If you want to see originals, check out the project idea, the data itself as I recorded it, a first attempt at a visualization, and a second…. Continue reading “The Ghost in the Graph: A Recap on Time, Things, and Entanglement”.

Visualizing Early America through MapScholar and Beyond

Hello, DH World! As this is my first official post as a DH Grad Fellow in the Scholars’ Lab, I’d like to start it by thanking the folks in the Lab for the opportunity to join the team for this academic year. I feel really fortunate that I have the chance to hang out with…. Continue reading “Visualizing Early America through MapScholar and Beyond”.

Plane Table Mapping aka Instant Gratification Mapping

“Plane table mapping is the most interesting of all to do.  One can hardly browse through an account of its various operations without wishing to go directly into the field and do them.” – Down To Earth : Mapping for Everybody, 1944 Humans love maps.  Every day in the Scholars’ Lab we help aspiring cartographers…. Continue reading “Plane Table Mapping aka Instant Gratification Mapping”.

Podcast: Micki Kaufman on Quantifying Kissinger

Digital Humanities Speaker Micki Kaufman “Everything on Paper Will Be Used Against Me”: Quantifying Kissinger Scarcity  of  information  is  a  common  frustration  for  many  historians.  However,  for  researchers  of  twentieth-­ and  twenty-­first  century  history  the  opposite  problem  is  also  increasingly  common.  In  contrast  to  scholars  of ancient  history,  who  base  much  of  their  analyses  on …. Continue reading “Podcast: Micki Kaufman on Quantifying Kissinger”.

DH Speaker Series: Micki Kaufman on Quantifying Kissinger

Everything on Paper Will Be Used Against Me: Quantifying Kissinger Thursday, April 3 at 10:00 am in Alderman Library, Room 421 Click for a larger image.  See www.mickikaufman.com/qk for a detailed description. Scarcity  of  information  is  a  common  frustration  for  many  historians.  However,  for  researchers  of  twentieth-­ and  twenty-­first  century  history  the  opposite  problem  is …. Continue reading “DH Speaker Series: Micki Kaufman on Quantifying Kissinger”.

Mapping Crowd Sourced Bicycle Data

Background Charlottesville is not the easiest place to ride a bicycle.  There are obstacles beyond the narrowness of the streets.  Let’s take a look at a few of these. The above map shows the elevation around Charlottesville with dark green being the lowest areas and bright red being the highest.  The Charlottesville street system is…. Continue reading “Mapping Crowd Sourced Bicycle Data”.

Size Matters

In geography, size matters.  On maps, large always wins over small.  We’re human.  We’re wired to quickly spot patterns and make visual comparisons.  See Tufte, Edward. Picture a map of your own state.  How does it compare in size to the states next door, the largest states, the smallest, or Texas? I recently joined with…. Continue reading “Size Matters”.

Data visualizations: Learning d3.js

[cross-posted at katinarogers.com] The SCI study on humanities graduate programs and career preparation is humming along, and while survey responses come in, I’ve been working on determining how best to translate the data into meaningful graphics. After a lot of experimenting, I think the winner is d3.js. Short for for Data-Driven Documents, D3 is Michael…. Continue reading “Data visualizations: Learning d3.js”.

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