Public Group active 4 days, 18 hours ago

DVG – Data Visualization Group

Data Visualization Group (i.e., DVG) is a place for students, faculty, and staff who are interested in sharing topics, theories, methods, and techniques related to data visualization. Data visualization is a graphical representation of data. Done well, visual elements such as charts, graphs, and maps are just a few data visualization tools that can provide viewers an accessible way of understanding the represented information. In a world increasingly governed by Big Data, data visualization can assist decision-makers in their analyses.
In this working group, members are encouraged to discuss and share theories, methods, and projects that include but are not limited to data preprocessing, data explanation, data exploration, theories of data visualization, real-world examples, and ongoing work. We will explore the fundamentals of data visualization including design principles, best practices, dashboards, visualization tools, ethics, and more.
This is a new working group, and topics will be based on participation and interest. Virtual meetings are free, open to all GC Community members of all skill levels, disciplines, and backgrounds.

Admins:

RUG is back! (Fri 9/24)

  • Hi,

    I hope everyone is doing well! The schedule for this semester is the same as last semester, with meetings from 3:30 pm to 5:00 pm every other Friday. See the GCDI events calendar for all of our scheduled meetings. Moreover, you can join our RUG Slack Channel to find out more resources.

    This year we will continue the format of pairing our usual general discussion about personal R problems and discussion points with a small tutorial or discussion about a topic folks are interested in works.

    So, this first meeting will be to get to know each other and decide what we want to cover this semester. Moreover, we will walk through the installation of R and RStudio if any new member is joining and want to get started with R. Come with your own ideas, but a few broad topics that I’m considering are:

    • Data wrangling & visualization in R
    • Data analysis in R (e.g., survey data/experimental data analysis)
    • Predictive modeling in R

    I’m looking forward to seeing everybody! The zoom link is below.

    Sincerely,

    Yuxiao & Rilquer

    https://baruch.zoom.us/j/3355532575

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