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]. …

Building Evaluation Capacity Through Data Jams, Part 2: Software as a Teaching Tool for Data Analysis

Data Jam at the University of Wisconsin-Extension, August 2016

 In this second blog post on the University of Wisconsin-Extension Data Jam Initiative, I will focus on the role of software in Data Jams,  and on the skills that colleagues are building in this Evaluation Capacity Building Framework.   What is Qualitative Data Analysis Software? The technical backbone of the Data …

Building Evaluation Capacity Through Data Jams, Part 1: A Response to the Data Challenge

Data Jam at the University of Wisconsin Extension, August 2016

Collecting large amounts of textual data is easier than ever – but analyzing those growing amounts of data remains a challenge. The University of Wisconsin – Extension responds to this challenge with the “Data Jam Initiative”, an Evaluation Capacity Building model that focuses on the collaborative, making-centered use of Qualitative Data Analysis Software.  In this …

Solving for Pattern: Reimagining our Land Grant System as Networked Knowledge Commons, Part 4

Emergent by Design: Solutions Creating More Solutions Over several previous posts1 I’ve written about why Cooperative Extension and the Land Grant system as a whole might (and in some cases already has begun to) embrace a more network-centric approach, enabling it to better facilitate the co-creation of knowledge and solutions …