Archive for Makeovers - page 2

Pie Chart Makeover: Revenue and Expenses

Pie Chart Makeover: Revenue and Expenses

A couple weeks ago I was in Birmingham with the Alabama Power Company’s grantees. We spent two days learning data visualization principles and producing makeovers of their graphs.   Before One of the grantees was presenting their revenue and expenses data like this, in two…

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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 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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Six Alternatives to the Clustered Bar Chart

Six Alternatives to the Clustered Bar Chart

We can all agree that 3-d exploding pie charts are pretty rotten. My vote for worst chart? The clustered bar chart. I see clustered bar charts everywhere. E-V-E-R-Y-W-H-E-R-E. On pages 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10 of reports. In slides 1, 2, 3,…

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