Data cleaning is an important step in any data-driven research project. Often data is harvested from diverse sources such as the web, databases, spreadsheets, text files, and countless other places. These sources can employ different encodings, formats, and follow different conventions all of which must be normalized before analysis can take place. Exactly what steps …
Topics to be discussed and demonstrated include deciding who to follow and for what reasons, strategies for using tagging and hastags, harnessing the power of media stats on blogs and articles, creating Twitter lists, live tweeting, frequency of tweets, social media aggregators and notifications to streamline workflow, and balancing personal and professional content. RSVP here.
Matplotlib is the most widely used visualization library in Python. There are two entry points into the library: the pyplot API which mimics MATLAB (widely used in engineering disciplines) and the object-oriented (OO) API. While the pyplot API is convenient for interactive work, to fully exploit the the library the OO API gives the user …
While academic work can certainly be a solitary affair, much of our work is collaborative in nature. Sane solutions to collaborating on computers do exist. You might have already used Google Docs to collaborate on a paper or a presentation. In fact, collaboration tools can actually can help us in our independent efforts too. If …
This workshop is designed as a gentle introduction to using widely available (and FREE!) digital tools for collaborative work. We will explore how a few simple-to-use tools can be effectively wielded to manage your project, from communication, to workflow management, document storage, and collaborative editing. In practicing with these tools, we will discuss techniques for …
Call for Lightning Talk Presentations at the 3rd CUNY DHI event: Building a Digital Humanities Community at the City University of New York CUNY Digital Humanities Initiative (DHI) and GC Digital Initiatives (GCDI) invite you to participate in the 3rd annual DHI Lightning Talks event: “Building a Digital Humanities Community at the City University of …
Creating effective data visualizations is an essential task at all stages of computational analysis. Visualization leverages the power of the human visual system to ensure data quality, detect interesting patterns, and communicate novel insights. However, many modern experiments generate raw data with size, dimensionality, or complexity that exceeds the capacity constraints imposed by neurobiology. The …
Dr. Johanna Devaney Register today! GC Digital Initiatives Sound Series presents Dr. Johanna Devaney, who will introduce and teach her open-source software, Automatic Music Performance Analysis and Comparison Toolkit. Join us to learn about developing music software and to demo this toolkit for examining such things as intervals between notes, tempo and relative dynamic level between …
Today people around the world create, share and interact with billions of new digital artifacts every day. We need new methods for seeing culture at its new scale and velocity. …
GC DRI offers CUNY graduate students, faculty, and instructional staff an opportunity to develop digital research skills and to connect with others in an interdisciplinary environment. The week will begin with an introduction to the command line, git, Python, and databases for all students; participants will then have the opportunity to choose from a variety of more specific workshops on topics ranging from using APIs to the Natural Language Toolkit to machine learning.
The application will be open until 11:59pm on December 1st, 2017; however, we recommend that interested participants apply early, as space is limited.
