Community of Online Research Assignments

Understanding Data Visualization

Reading charts and infographics is part of everyday life, yet telling a story with data can be tricky. Luckily, data visualization is a skill that everyone can learn! Data visualization is the practice of translating information into a visual context, helping humans understand complex concepts and making it easier to identify patterns and uncover insights. In this workshop, learn the basics of designing data visualizations, selecting appropriate graph styles, and how to identify misleading data visuals.

Demonstrating the Distribution of Innovation and Entrepreneurship Using Patent Data and a Mapping Tool: GeoFRED® Marks the Spot

Students learn about innovation, the distribution of innovation across the country, and what can be patented. Working in groups, they examine patents and consider the changes the patents brought. They then use a mapping program and interpret data from that map to consider how local resources promote innovation.

Keeping It Real: Teach ACRL Information Literacy Frames with FRED data

A hybrid teaching module with two elements: an interactive online module for students to complete ahead of class and a face-to-face lesson plan that builds on the skills learned in the online lesson. The in-class session provides students with a critical exploration of the purchasing power of minimum wages across states and/or the earnings gap between men and women employed full time. The pre-class online course is titled: “FRED Interactive: Information Literacy” available through www.econlowdown.org.

Simply Map: Visualizing Census and Survey Data

This instructional session coincided with a project comparing data from two cities for an Urban Studies 1000 level (Freshmen) course. The session provided a basic overview of Simply Map as a web-based application, described the data available within and its origins (Census, American Community Survey, etc.), two activities for creating and visualizing the data, and supporting materials for understanding the data including a libguide and deliverable handout.