Tag archive for Before/After Data Visualization Makeovers

Revamping a Tired Data Table: A ‘Before’ and ‘After’ Reveal

Revamping a Tired Data Table: A ‘Before’ and ‘After’ Reveal

I met Mia Schmid in 2017 when she enrolled in one of my Dashboard Design workshops. Later, she reached out and shared her own before/after makeover based on what she learned in the training. Her makeover was so dramatic that I wanted to share it…

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Home Visiting Dataviz: Three Steps to Making a Good Graph Great

Home Visiting Dataviz: Three Steps to Making a Good Graph Great

Whether you’re visiting a web site or a listening to a presentation, you’ve probably thought about data visualization as a helpful way to digest complex information. At its best, “data viz” communicates data simply and efficiently using a combination of graphs, graphics, and other forms…

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How to Visualize Workshop Evaluation Results

How to Visualize Workshop Evaluation Results

I give dozens of workshops, webinars, and conference keynotes each year. Which means I receive dozens of evaluation surveys each year. After my sessions, the clients who sponsored the workshop ask their participants to rate my session. Sometimes the satisfaction surveys are electronic. Other times, the satisfaction…

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It’s Not You, It’s Me: When You Realize Your Reports, Not Your Readers, Are the Problem

It’s Not You, It’s Me: When You Realize Your Reports, Not Your Readers, Are the Problem

I met Audrey Loper in 2017 while teaching a data visualization workshop to her grantees. Her data visualization progress after that workshop has been phenomenal. Keep up the good work, Audrey! A few years ago, I found myself in a frustrating predicament. I was writing…

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How to Visualize Statistically Significant P-Values with Squares

How to Visualize Statistically Significant P-Values with Squares

Last year I teamed up with an organization on a custom design project. We wanted to show their leaders where one of their programs for children had been effective. Like most in-house research teams, this team had a lot of data. The researchers had spent…

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