Solving for Pattern: Reimagining our Land Grant System as Networked Knowledge Commons, Part 5

Optimizing for Health: Linking Land Grant Knowledge Assets in Support of Healthy People, Food Systems and Communities. When a living system is suffering from ill health, the remedy is found by connecting with more of itself. – Francisco Varela The scene above is an example of “satoyama”, a traditional Japanese …

Beyond Static Graphs: Engage Your Audience with Interactive Data Visualizations

Interactive data visualization featuring Nebraska Extension On-Farm Research data on starter fertilizer use.

Interactive data visualizations allow you to display complex data in interesting ways and allow viewers to be active participants in exploring the data. Check out some of these some great examples of interactive data visualizations for inspiration. The Washington Post[i] presents a political visual that pairs graphics and a narrative …

Data Visualization Makeover

Before-and-after

This post is a little embarrassing. I’m going to share some not-so-pretty (and not-so-effective) graphics that I have made…and presented…multiple times. Then I’ll walk you through the steps I took to create new and improved versions using my 7 elements of good data visualization. First, about the data. These data …

7 Elements of Good Data Visualization

Collage of graphic examples

To prompt behavior change, we must be able to effectively communicate data. Not convinced? Read this post on why data visualization matters. The goal of this article is to dig in deeper and present some foundational concepts for creating good data visuals. A recent eXtension webinar[i] described numerous tools and …

Building Evaluation Capacity Through Data Jams, Part 3: Readying Extension for the Systematic Analysis of Large Qualitative Datasets

All-Program area Evaluator Data Jam at the University of Wisconsin-Extension, March 2017.

In this third blog post on the University of Wisconsin-Extension Data Jam Initiative, I will focus on four institutional outcomes of this Evaluation Capacity Building Framework. INSTITUTIONAL OUTCOME 1: Continuous use of Institutionally Collected Data The Data Jam Initiative provides colleagues with the tools, skills, support and community they need to engage …

Data Visualization for Extension Professionals: Why Does it Matter?

Google Trend Analysis of "Big Data" and "Data Visualization"

“We face danger whenever information growth outpaces our understanding of how to process it.”[i] The ability to generate data has greatly increased in recent years, across all sectors, including agriculture. In fact, according to VCloud News, 90% of the world’s data has been created in the last 2 years alone[ii]. …