Name: Introduction to Information Data Visualization
Start: 2019-08-13T14:00:00-05:00
End: 2019-08-13T17:00:00-05:00
Location: John Crerar Library - Zar Room

Introduction to Information Data Visualization 

The Research Computing Center (RCC) is dedicated to providing the University of Chicago community a full-service high-performance computing (HPC) center, including visualization resources, access to software, workshops, one-on-one consulting with domain experts, and complete data-management strategies to researchers across all departments and divisions.

Research Computing Center

Abstract: Data visualization allows researchers to explore and then display data in ways to help tell a story about it. This workshop will give a brief introduction to information data visualization and its theory and strategies. Common Python packages such as Bokeh and HoloViews to implement such strategies will be introduced. It is designed to showcase what types of information data visualizations are currently used to people who have little to no experience or knowledge of data visualization methods. The tutorial will begin with an introduction to the concept of data visualization and a discussion of how to design a data visualization workflow. This will be followed by an introduction to useful functions on information data visualization methods, specifically, network visualization of text data and spatial data visualization on maps. 
Objectives: (1) Students will be able to understand basic concepts of data visualization; (2) Students will complete hands-on examples of data visualization tools using commonly used Python libraries for network visualization and simple spatial data visualization. 
Level: Introductory
Duration: 3 hours
Prerequisites: All participants are expected to bring a laptop with a Mac, Linux, or Windows operating system that they have administrative privileges on, and Python and Jupyter Notebooks are already installed. Basic Linux commands; Basic programming skill using Python with Jupyter Notebook
Github repository: <A HREF="https://github.com/rcc-uchicago/workshop-IntroDataVisualization/2019Fall" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://github.com/rcc-uchicago/workshop-IntroDataVisualization/2019Summer</A>
This event is a Neubauer Collegium sponsored event in line with the VUE grant

Introduction to Information Data Visualization

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Introduction to Information Data Visualization

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