I've a data design challenge that requires the presentation of data where the data is comparable (can be plotted or presented as a table) but who's data points are inconsistent.

Inconsistency occurs in that one data series will consist of monthly data points whereas a comparable series will be represent with weekly data points that in turn can be aggregated to provide a monthly average.

The challenge is to present the data in an accessible (comprehensible) way.

As for a little background the data is of type price / value / weight and used for financial analysis and market forecasting purposes.

Because of the financial nature examples and practices are hard to come by, I've a few ideas of how to present this type of data but would like to hear if anyone can point me in the direction of any design patterns I can base further thoughts on?

I've added this example - don't worry about the data


download bmml source – Wireframes created with Balsamiq Mockups

  • If you have some ideas of your own currently can you post one of these so we can get a visual idea of where you're coming from?
    – JonW
    Commented May 11, 2012 at 10:51
  • We may be looking at his best idea for a tabular view. :-) Commented May 11, 2012 at 16:04

1 Answer 1


A zoomable graph/chart is the best way I've seen to present multi-scale data over time, or to look at the same data over different time scales. Weatherspark is a good example of a zoomable chart. You can use the mousewheel to expand or shrink the time scale, and the graph dynamically adjusts how it displays the information (as an average, as a range, etc).

  • Thanks Myrddin, we are having to include this type of data representation and functionality based on the data we need to include in a tabular form Commented May 11, 2012 at 14:20

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