Today I am living in the past. Revisiting all the photos and writings I have from July’s 2014 International DH conference in Switzerland and I came across the graphic the ADHO organization made for the event. It is a character network of all the related topics and people at the conference. There were a number … Continue reading Data Visual: 8/20
Here is a rehash of the bar graph I made of the Farmer’s Market data on this page. Here is a coxcomb version of it, because it looks better. Continue reading Data Visual: 8/1
I thought it would be prudent today to post a graph summarizing the tweets that occurred over the week in Switzerland for the 2014 DH conference. This is a beautiful display and it certainly goes without saying that Martin Grandjean did a fantastic job. Continue reading Data Visual: 7/21
Today is just a quick screen shot of a current web application I am making with a colleague that is a web text analysis visualization tool. This is a map of the occurrence of whale and captain in Moby Dick, it is interesting to see the path the character takes through the novel. This is made … Continue reading Data Visual: 6/06
One part of my job (see about section) that I enjoy is the constant encouragement to push what you know, and can do, to the limits. I am a big proponent of R and I enjoy the seemingly limitless capabilities of it. But I know a good product when I see one and I have … Continue reading Data visual: 6/05
This tutorial will be a walk-through of how to scrape a website for the information you want, in our case the blog text, and then get the data we want to plot into a nice word cloud. The first step is to make sure you have these packages: RCurl, XML, plyr, wordcloud, RColorBrewer IF you … Continue reading Web Scraping and Word Clouds
Today is a quick and easy one. This may not be the most spectacular looking graphic you’ve ever laid eyes on, but it is relatively simple to do and helped me stumble into the rabbit hole of data visualization. The original tutorial by James Cheshire is found here at Spatial.ly But this tutorial spawned my … Continue reading Data Visual: 5/27
I had some fun this weekend while mulling over the CLIWOC data, which is the Climatological Database for the World’s Oceans. There are a bunch of people out there who are visualizing this data, some of the best are James Chesire who does Spatial.ly, and Ben Schmidt who provides interesting insight behind the data as … Continue reading 1700’s Shipping Logs
I decided to take one step to the side to share a few of my favorite graphs from around the web, these are results specifically from R/RStudio that show some of the versatility of the language. I also wanted to talk about Shiny, which makes web applications straight from R code, with these two the … Continue reading Beautiful Data
In text analysis, of which I am a student, there are a few concepts that are at the forefront of the study. Stylometrics is one of those concepts. Stylometrics is the study of linguistic markers applied to written language, usually in text analysis it is what is used for author attribution. The concept is based … Continue reading Word Frequency Find in R
Austin+Wehrwein 