When Your Graph Is Too Smooshed to Read

You want to display a lot of historical data–great! But sometimes we have so many points in time that our graph’s labels get smooshy. In this post, I’ll show you a before/after data visualization makeover in which we selectively labeled a few key milestones in order to tell our story (and make the graph more legible).
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Removing Redundancies from My Old Graphs

Feb 28th, 2017 / Data Visualization
Data visualizers who critique others before critiquing themselves make me gag, so I opened my recent keynote with a trip down memory lane. Check out this beauty¬†from one of my earliest jobs. I’ve anonymized it but 99.9% of my work from this period had this look and feel, i.e., an overly-labeled graph that I made in Excel and pasted directly into Word without any editing at all.
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The Data Visualization Design Process: A Step-by-Step Guide for Beginners

May 1st, 2014 / Data Visualization
Visualizing numbers in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. But it can be overwhelming to get started with data visualization. In this step-by-step data visualization guide for beginners, I’ll walk you through the data visualization design process so that you can transform your spreadsheets into stories.
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