I want to see us recognize the work of the educators, those that analyze and characterize and critique, everyone who fixes things, all the other people who do valuable work with and for others—above all, the caregivers—whose work isn’t about something you can put in a box and sell. —— Why I Am Not a […]
The group for this project is Teagan Johnson, Alexei Thomas, Hannah Sheridan and Eli Offman. For this project, we intend to compare Carleton College’s Off-Campus Study offerings over the years. Carleton publishes statistics about the percentage of the graduating class that went on OCS, recurring programs, popular locations for specific courses, relation to popularity in […]
Thoughts: We will focus on the reconstruction of one of the buildings in the Forbidden City. Besides constructing the 3-d model, we may align it in a story map and present background information of it, such as the procedure of the construction or the historical stories lay behind it. Here is the group block link:
Buildings rise and fall, classes come and go, but the culture remains in place.
Members:Adam Loew, Nick Reeves, Andrew Lin Topic and Objectives:We are planning for our project to create an interactive timeline that shows the positions of Carleton sports teams within the MIAC conference at the end of each season over the years. We’d be using data from the MIAC websites to record the history of each team […]
The members of our motley crew are: Spencer Lekki, Chloe Truebenbach, and Cecilia Kryzda. Our project objectives are twofold: we seek to compare the keywords, themes, host departments to general descriptions and purpose statements about Convocation. Further, we would like to observe changes in Carleton’s institutional ideas of importance. From a cursory skim of the […]
Nicole Connell, Rebecca Hicke, Brooke McKelvey Our project will be creating a network from a text analysis that displays the relationships between departments and professors through co-taught classes. Our data is composed of classes with multiple professors and comes from the past twenty years of academic catalogs (1999-2000 to 2019-2020) which are in the archives […]
Members: Ginifer Coffin, Faith Yim, Daniel Chung, Lucklita Theng Project Topic: Carleton’s Food: Where Does it Come From? Proposed Methodology: We are planning on using data from the Carleton food providers from the past decade or so (ex. Bon Appetit). The information we will be specifically interested in staple food products (meat, dairy, vegetables, grains) […]
For this final project, my biggest interest is on discovering Su Shi’s exact life journey by reading a lot of materials. I would need to search some original Song dynasty records and Su Shi’s own diary to make myself clear about those important locations in his life. This would be a good chance for me […]
Members of the group: Zhihan Yang, Yixin Song, and Songyan Zhao. We want to map the famous Song dynasty poet Su Shi’s life and post an interactive post to introduce Su Shi in a new DH way. The proposed methodology: We will collect poems, records, and specific location’s architecture data online. We will also use […]
I didn’t realize that there was such a large difference in the squirrel populations, so the data set on ArcGIS was interesting to see. I had some struggles with ArcGIS at first, and it took some poking around to find various options and layers for the map. I was never able to find the “Enable […]
Group Members: Molly, Nacho, Bia, Aaron Definition of Project Objectives: Find out how times of the year affect how many people visit Dacie Moises House and what they bake. The Plan: We want to make a timeline that shows the busiest times of terms and what kinds of things get baked at different times of […]
This ArcGIS map shows the trends between the gender, birthplace, and other statistics of artists from 1900-1929 using data from the Tate art collection. Link: Teagan’s Midterm
(My title is only half serious.) For the midterm, I used some text analysis tools on Mark Twain’s speeches. The results? Everything from heartwarming to hair-raising. Read it here.
For my midterm I decided to map the birth and death locations of artists in the Tate collection. The project can be found here: https://arcg.is/0WfmDi The blog post about the project can be found here: http://www.midterm.connellhistory.com/blog/
I looked into the popularity of various art mediums held by the Gutenberg from the 40s, and analyzed how the museum acquired its collection. A link to my project
For my midterm, I charted the frequency of two words: “mr” and “boy” which I argue respectively characterize two different types of speeches given by Mark Twain. See it below! https://www.ckryzda.com/blog/uncategorized/a-mr-e/
I compared two interactive maps displaying the location and genre of photographs taken by Charles Cushman in 1962 and 1963.
For my project, I created a 3D model of the Northfield Depot using photogrammetry. Here is a link!
For my project, I used ArcGIS to create 3 separate maps of Tate Gallery artists born between 1900-1929 in order to show skews in gender across the 3 decades. Here’s the link to my project!
Here’s a link to my blog post on the Midterm Exam. For this project I decided to render a 3-d model of the Northfield Depot, using platforms such as MetaShape, MeshMixer and Sketchfab. Here’s the link: http://midterm.biafurtado.com
For midterm, I decided to do the 3-D model of Northfield Depot by using Agisoft Metashape. Here’s the link: http://midterm.com.silaszhao.com/blog/
For my midterm project, I chose the Tate Artists 1900-1929 dataset and do geolocating to analyze the data. Here’s the link to my blog post about it!
My mid-term exam analyzed Project Gutenberg’s Mark Twain’s Speeches and organized the title and keywords of each speech along a timeline made using Timeline JS. Here’s a link to it: https://dh.zhihanyang.net/.
For my Midterm project, I decided to geolocate the artists in the Tate artist data set by birthplace and highlight the differences in gender. My project can be found here.
I analyzed five speeches from Mark Twain that were connected to women.
For my midterm project, I analyzed Cushman’s photograph collection by mapping each photo in their respective cities in the United States while clearly differentiating in which season each photo was taken.
I analyzed the tate artist data and looked to see if there were any correlations between urban areas and the number of artists that came from these places. You can find it here.
For my project, I looked at the relationship between artists and mediums of artwork in the artwork from the 1940s in the Tate collection by creating a network. The project is here!
For my midterm, I decided to geolocate the photos taken by Cushman and create an interactive map showing the subject types, photo density, and relevant US Parks service data. Check the map out at the page below!
