Cleaning Data with OpenRefine
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. …
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. …
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 …
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 …
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 …
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 …
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 …
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, …
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.