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Effective Charts and Dashboards for Excel users

Archive for the ‘Theory’ Category

Less is more, more is more

Always ask yourself: “what can I remove from this chart”? Remove Excel defaults, remove grid lines, make the chart smaller, use soft colors, remove irrelevant labels, remove the legend (by directly labeling series), remove series that you don’t really need, remove frames, remove decimal places, remove visual

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Fibonacci, working memory and information overload

More data = better decisions, right? Not always. When you are getting more information than you can process within a specific time period information overload starts creeping. Confusion, stress, anxiety and low motivation usually follow. Can we prevent that? In general, the more information you have, the

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Jon Peltier's long waited blog

Jon Peltier’s site is usually my first stop when I want to find a solution for an Excel chart problem. His site is one of the best resources for add-ins, tips, tricks and “impossible charts”. Now he’s sharing his expertise with us in his new blog. So

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Minard, Tufte, Kosslyn and Godin (and Napoleon)

Do you prefer the full report:   Or the executive summary? For Tufte’s fans, Minard’s map plays a central role in Tufte’s iconography, and the way he praises it (“best statistical graphic ever”) is quoted endlessly (974 results in Google as of today, to be precise). Tufte

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10 x 10 Tips to improve your (Excel) charts: formatting

This is the second of 10 posts where I’m listing tips for better charts. Please take a look at the first post where the project is discussed. These are my chart formatting tips: Use the right chart type for the data and the problem; Apply sound design

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10 x 10 Tips to improve your (Excel) charts: general tips

This is the first in a series of 10 posts where I’ll suggest a (hopefully) coherent set of tips to improve our charts and, more important, to improve the way we make sense of the data. These are the planned posts: General charting; Formating; Column/Bar charts; Line

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Modern graphical analysis: are we honouring our founding fathers?

Nathan, over the FlowingData blog, points to this video where John Tukey himself discusses the analysis of multivariate data using computers… in 1972. The library contains other great videos, so I encourage you to explore it. Tukey had an enormous impact in the way we look at

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Stephen Few at InfoViz 2007

Stephen Few shares with us his capstone presentation that he delivered at InfoVis 2007. If you follow his newsletter or his blog (you should) there is nothing really new but, if you don’t, this is a good summary of his views regarding information visualization. I’d like to

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Design principles for better charts: relevance

The relevance principle means that every variation should carry a meaning, derived from data variation, not from design variation. If it doesn’t, it can be confusing or misleading. Suppose chart A displays population density by country. “Vary colors by point” is an option in Excel, but why

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Charting tips 004: You need guide lines

You can’t write a novel just because you can type. You can’t create a chart just because you know how to do it in Excel. First, you have to know the job, then the tool. Research for best practices in your field. Read what some authors have

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