![]() To demonstrate the concept, I created a little data set with three very different orders of magnitude associated with the three data series. If you had four (or five or six, etc.) radically different data sets, you can use the third axis technique I will discuss to create additional supplementary axes.Multiple data series with similar ranges and magnitudes can share an axis, including the third axis we will discuss creating, and.Moving forward, I will discuss this in the context of having three data series, each of which will be associated with a different axis. But I thought it might be useful to walk you through the steps in the process. But providing the additional axis, tied to the data series via its name, a person using the chart can read the scaled data against the extra axis. Then, I scale my data so it is visually meaningful on one of the two real axes that are available. My trick for adding an additional axis (or more) to an Excel chart it is create a data series that I plot vertically against the X axis which is scaled to reflect the range I need so that it spans the entire height of the chart. Having a third axis to dedicate to a third order of magnitude range (or a 4th or 5th or 6th if you needed them) makes it easier for me (and I think others) to intuitively read the chart. That worked, but it was kind of confusing in a way. Prior to the insight that lead to the technique I will show in this post, they way I dealt with the need to plot more than two data series with wildly different orders of magnitude was to scale one or more of them so they would be visually meaningful on one of the two axis I had available, and then include the scaling factor in the name of the series.įor instance, to plot the number of chillers running on the same axis as temperature, I might have multiplied the number of chillers running by 10 and then plotted it as Number of Chillers Running x 10. The number of chillers running, which would fall in the 1-10 rangeĪs you probably know, Excel lets you add a secondary axis to your charts, but, as far as I know, that is were it stops, at least in terms of being able to do it with the chart design tools.Tonnages and flow rates that would fall in the 0 – 15,000 gpm/ton range against.Temperatures that would all fall into the range 0-100☏ against.In other words, to get something visually meaningful 1, I needed to plot: One of the challenges that came up when I was creating the time series graph of a 9,000 ton chiller plant load profile that I show in my previous post was that I wanted to plot data series that had numbers in them with very large differences in the order of magnitude. But it also now includes a more practical example in the form of a chiller kW per ton profile. Mostly, I improved the instructions to make it more user friendly. Authors Note : I made some improvements to the third axis tool that is mentioned in this post and uploaded it to the page associated with it on the Commissioning Resources web site.
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