Data Analysis and Visualization Using R: an introductory R programming course available online 24-7 through Princeton Coursera to current Princeton University community members around the globe.
Sometimes you need an R programming lesson on a Tuesday at 12:00am, or 1:00pm on a Sunday. What to do? Princeton Quantitative and Computational Biology graduate students David Robinson and Neo Christopher Chung, in association with Princeton Online/Princeton University Coursera, have created a multi-lesson searchable course based on the successful introductory R programming workshops taught by both Robinson and Chung over the past two years for the McGraw Center for Teaching and Learning and the J Street Library and Media Center.
The course is currently only available to current Princeton University members with a NetID, and does not appear on the Princeton University Coursera webpage. Check out the course using the Princeton link, and login using your NetID and password.
“MATLAB® is a high-level language and interactive environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications.” – MathWorks
This workshop provides an introduction to MATLAB® interface. The workshop is intended for students with no programming experience, and is designed to assist students to learn basics of programming with MATLAB. The MATLAB interface, variables, arrays, conditional statements, loops, and plots are among the topics that will be explained. At the end of the workshop, students should be able to use MATLAB for their course work, and be ready to advance their programming skills on their own.
Continue reading “MATLAB Introductory Workshop, 10/15, 7pm – 9pm”
Topic: Risk in Media Discourse: An Introduction to Topic Modeling with R and Python
Speaker: Manish Nag
Time: Thursday, April 10, 12:00pm – 1:00pm
Location: New Media Center (NMC), 130 Lewis Library, First Floor
Lunch will be provided. To register for this session: http://bit.ly/Risk-TM
(Registration is not required for attendance, however refreshments may be limited.)
Amidst global concerns over financial markets, terrorism, and outbreaks of disease, the term “risk” pervades contemporary Western media discourse. Manish Nag’s dissertation is interested in the overall landscape of risk in contemporary news media discourse, using the full text of the New York Times from 1987-2006. What are the predominant threads of discourse related to risk, how does this discourse grow and change over time? Manish’s presentation presents how topic modeling can be used to help answer these questions.
Manish Nag is a Doctoral Candidate in Sociology. His research seeks to understand the global landscape of media discourse on global risk, as well as change and resilience in global networks of people, goods and ideas. His research utilizes mapping, data visualization, the analysis of text, and social network analysis. Manish received his BA in Computer Science from Brown University, and has worked as a software engineer, entrepreneur, and manger prior to his graduate work.
Presentation co-sponsored with Digital Humanities Initiative at Princeton (DHI).
Topic: What Are Digital Map Datasets and Geographic Information Systems?
Speakers: Bill Guthe and Wangyal Shawa
Time: Thursday, February 27, 12:00pm
Location: HRC Classroom, 012 East Pyne, Lower Level
A Geographic Information System (GIS) is powerful research tool that allows a person to capture, store, view, manipulate, analyze, manage, and display all forms of geographically referenced data. Princeton faculty, students and staff use GIS technology to manage resources, explore spatial relationships, and visualize change. This presentation will provide an introductory overview to the technology and its capabilities, and highlight the services and geographic data provided by the Library and OIT.
T. Wangyal Shawa and Bill Guthe provided a highly informative overview of map resources and Geographic Information Systems (GIS) training at the University. One of the challenges in determining whether or not to use Google Maps or Google Earth versus GIS software is knowing in advance all the possible employments of your data. Visualization only, well, Google Maps, or other options, may be best. However, if you need the option of creating pliable data and data sets then you’ll want to use GIS software. On a parallel topic, if you need to sort through multiple years worth of geographic data or social/political data with geographic markers on the same or different continents, you probably need to consider accessing data sets.
Continue reading “The Productive Scholar: What Are Digital Map Datasets and Geographic Information Systems?”
Topic: Simple Map Tools for Complex Data
Speakers: Ben Johnston and Janet Temos
Time: Thursday, February 20, 12:00pm
Location: New Media Center (NMC), 1st Floor, Lewis Library Building
*To Register: http://bit.ly/PSMapTools
“A map does not just chart, it unlocks and formulates meaning; it forms bridges between here and there, between disparate ideas that we did not know were previously connected.”
― Reif Larsen, The Selected Works of T.S. Spivet
This Productive Scholar session will cover the use of easily accessible and easy-to-use mapping tools that can help you visualize geo-spatial data for your teaching and research. Use Google Maps to collaboratively build a location-aware research archive. Overlay a historic map on the globe in Google Earth. Visualize complex narratives and data sets using points, regions, paths and other information in custom maps. Collect photographs and information in the field using a smartphone and plot that information on a map.
Janet Temos, Director of the Educational Technologies Center (McGraw Center for Teaching and Learning) and Ben Johnston of the Humanities Resource Center (OIT) will talk about using some free, simple, geolocation tools to achieve rich results for data visualization.
We who were in attendance had the fortune of being given a guided tour of literal mapping of various layers of narrative signification proffered by Joyce Carol Oates’ 2013 novel The Accursed. Set in Princeton, and referencing various historical maps of the township, the novel has be characterized by Stephen King as:
Continue reading “The Productive Scholar: Simple Map Tools for Complex Data”