Tag archive for Before/After Data Visualization Makeovers - page 4

Pie Chart Makeover: Quarterly Breakouts by Gender

Pie Chart Makeover: Quarterly Breakouts by Gender

A few weeks ago I was in Indianapolis with the juvenile detention alternatives initiative. This group wanted to graph: how many youth went to juvenile detention centers, by gender, and by quarter. Brainstorming There are a dozen ways to graph each dataset. For this data,…

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Removing Redundancies from My Old Graphs

Removing Redundancies from My Old Graphs

This morning I keynoted a conference in Tallahassee. Data visualizers who critique others before critiquing themselves make me gag, so I opened my talk with a trip down memory lane. Check out this beauty¬†from one of my earliest jobs. I’ve anonymized it but 99.9% of…

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The Data Visualization Checklist, 2016 Edition

The Data Visualization Checklist, 2016 Edition

Back in 2014, we launched the Data Visualization Checklist. Today, we bring you the updated version! Download the Data Visualization Checklist (Free) What’s included in the updated Data Visualization Checklist? Stephanie and I tweaked five items: Text size is hierarchical and readable Labels are used…

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Removing the Double Y Axis

Removing the Double Y Axis

My least favorite charts of all time include clustered bar charts, 3D exploding pie charts, and line charts with two y axes. By now, hopefully you know my style. I’m not just going to complain about a graph without offering an alternative. Sometimes we need…

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The Simplification & Emphasis Approach to Editing Graphs

The Simplification & Emphasis Approach to Editing Graphs

I teach about data visualization a lot. And it basically comes down to two techniques: simplification and emphasis. Here’s a default graph with fictional data: First, simplify the graph. Remove the border. Remove the horizontal grid lines. Remove the vertical axis. Remove the legend. Remove…

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