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Something I do which I believe is more relevant, is instead of using ambiguous percentages I use years, relative to my career. I still use a sort of 'bar graph', but the numbers have context in relation to the length of time I've been working: The numbers across the top are the years of my career (2000 - 2015) and each skill is represented as a ...


6

Your question is about information design. First, if this topic interests you greatly, I recommend you find The visual display of quantitative information by Tufte. His books are beautifully illustrated but expensiveā€”so check your local library first or get your employer to buy you this book. Tufte will get you thinking about the design of charts and graphs ...


3

I'm not sure if it applies to your case since I don't know what are your axises measuring, but I'd use something like a bullet graph designed by Stephen Few for cases that seems to cover yours, see below: Overview The bullet graph was developed to replace the meters and gauges that are often used on dashboards. Its linear and no - frills design ...


2

Iterate and test JeromeR is right on track with the general approach. Experiment with possible data sets and ways to visualize them, then ask yourself and others what best tells the story. Just like anything else in our business, user testing is key. There's one other important point that shouldn't be missed ... Visualizations should expand understanding ...


2

Give the user some sense of control Here are some UX ideas that give the sense of control to the user (as opposed to "full automation"): break down the tasks by categories, so that the user sends emails in batches by type; as each series of emails is triggered, suggest to open a preview of the corresponding list (a simple, long, cleanly-formatted list ...


1

I faced a similar problem and solved it by extending the Google Maps Marker Cluster Library and using pie charts as suggested by BDD instead of the default cluster marker that comes with the library. You can download the solution from my GitHub repository: https://github.com/hassanlatif/chart-marker-clusterer



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