CUNY Academic Commons

Hello all! I hope you had a restful Thanksgiving break. We’re back with another packed week full of events at GCDI. Check out our upcoming workshop on APIs, our GIS/Mapping User Group Meeting, and don’t forget to apply for the GC Digital Research Institute! Read more below:

This Week @ GCDI

Hi,

RUG meeting is on this Friday from 4 pm to 5 pm. We will do some statistical analysis (significance tests) and learn how to use HTTP request (use last.fm API as an example) to get user data. Join us via the Zoom:

https://baruch.zoom.us/j/88268481777

best,

Yuxiao

Hi Folx,

This Friday @ 3pm we will have the RUG meeting. We will complete the statistical testing where we left off last time and explore Spotify data. We can construct a regression model and test the variables in the data and get some insights from it~

Zoom info: https://baruch.zoom.us/j/88980661257

Best,

Yuxiao

Hello all! Welcome to another packed week at GC Digital Initiatives. Check out our upcoming workshop on Tables, Pandas, and Python. Members of the CUNY community are also invited to participate in our R user group meeting. Learn more here.

This Week @ GCDI

Hey PUGers! Please join us today from 3-4pm for our third PUG meeting of the semester. We will review some key concepts from the Intro to text analysis workshop we ran last week. If you have lingering questions from last week, this is a great time to get some answers!! We will also make time for Python questions outside of the scope of the Fall…[Read more]

Hello all! Welcome to another packed week of events and opportunities at GCDI. Check out the link below to learn more about our upcoming funding opportunities with the Provost’s Digital Innovation Grants and the Data For the Public Good program, we also have workshops on spreadsheets and Python coming up, as well as the Mapping and Python user…[Read more]

Hi folks! We have another Python workshop coming up on Friday October 28 from 2:00 pm – 4:00 pm. This time we will work with the Pandas library to manipulate, analyze, and visualize tabular data (i.e., data stored in a spreadsheet format).

Check out the GCDI calendar to learn more and sign up! See you there!

Hi,

The bi-weekly RUG meeting is coming this Friday. The topic we will do this time is the statistical testing (one-sample/two-sample means, one/two proportions, independence for categorical variables, Tukey HSD) in R, we will need to use some data-wrangling functions in dplyr and ggplot2 too. We will do the coding session together and welcome to…[Read more]

Hi,

Today we held a Data Analysis in R Workshop. If you are interested, please find the materials in the Github Repo.

Please also find the R script in the attachment.

best,

Yuxiao

Hello all! Please check out the exciting events coming up this week by the Digital Fellows. We have number of workshops, user group meetings, and other events lined up that explore topics in languages like R and and Python, as well as platforms like Wordpress and Github. Learn more here.

Make sure to follow us on Twitter (@digital_fellows & @cun…[Read more]

Hey PUGers! Please join us today from 3-4pm for our second PUG meeting of the semester. We will review some key concepts from the Intro to Python workshop we ran last week.  If you were not able to attend that workshop but are interested in continuing with the Fall Python Series, this is a great time to catch up and get ready for the next…[Read more]

Hi, everyone.

The Mapping User Group will resume our biweekly meetings by next week. Our first meeting will be on Thursday Oct 6th, from 4-5pm. Here is the link for our sign-up form: https://forms.gle/Q1rcXrDqpnEbEBPy5

We would appreciate if everyone could sign up on that list, so we can keep track of how many people are expected…[Read more]

Join the GCDI for a fall Python series exploring various research methods and tools. We will begin by introducing the programming language Python and then continue by practicing and building out core skills through various practical applications, including text analysis with NLTK, data analysis with Pandas, web scraping with Beautiful Soup, and…[Read more]