Public Group active 1 week 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:

Discussion of Structured Data Visualization (Zoom session is available)

  • Posted by Yuxiao Luo on November 6, 2020 at 1:50 pm

    In data visualization, we often come across these two data types: structured data and unstructured data. In this post, we will briefly talk about structured data visualization. Usually, structured data includes table, database, network, geo-spatial, time series, and 3D model.

    A. For network data, you can check out some creative and interesting demos in FlowingData. As an R user, I would recommend these widely used packages in R for network visualization:

    1. igraph for Network Analysis and Visualization.
    2. network for Classes for Relational Data.
    3. sna for Social Network Analysis.
    4. visNetwork for Interactive Network Visualization.
    5. networkD3 for D3 JavaScript Network Graphs from R.
    6. ndtv for Network Dynamic Temporal Visualizations.
    7. ggnet2 is the network visualization version of ggplot2, a well-established visualization package.

    B. For geospatial data visualization like maps, maybe you can check out this useful tool Mapbox Studio, which is simple and easy to get started with. Moreover, the RUG group is discussing the mapping applications in the R environment this semester and I would highly recommend you join if you are interested in R or you are already an R user.

    C. For time-series data visualization, check out these nice and inspiring examples:

    1. Coronavirus
    2. Humans of data
    3. Hottest year on record 2014
    4. Streamgraph Transitions
    5. Hottest year on record 2016

    After reading these beautiful cases, if there is anything coming to your mind or any experience about structured data visualization that you would like to discuss, post your comment below, and share it with us!

    You are also very welcome to join us in the Zoom Casual Meeting held every other week. (We have one today on Nov 6th)

    Yuxiao Luo is inviting you to a scheduled Zoom meeting.
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    Meeting ID: 335 553 2575
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