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correlia:pccs [2025/05/19 03:06] – optrixcorrelia:pccs [2025/12/18 22:50] (current) – external edit 127.0.0.1
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 +====PCC Charts====
  
 +Parallel Coordinate Charts are used to compare how values are spread across a number of points at a single time. 
 +
 +They're used when you have too many different measurements for a scatter plot to be useful. In particular, when your points have different //ranges//,  as scatter-plots are only useful when your measurements share a similar minimum and maximum value.
 +
 +They're like a line chart, but the ticks on the X axis represent different //measurement points// instead of //times//.
 +
 +Each item on the X axis has it's own unique scale, meaning that assets with radically different scales can be directly compared to one-another.
 +
 +Each line on a PCC chart represents a single moment in **time**. For example, one line will show the values for each point at 08:00, while the next will show the values at 08:02.
 +
 +===Example===
 +
 +The chart below is comparing 6 points on our Paint Line - a system that runs a product of varying thickness and width through rollers.
 +
 +{{pccexample.png|600}}
 +
 +^Points (From Left to Right)^
 +|Paint Line Actual Speed|
 +|Roller Actual Speed|
 +|Paint Line Target Speed|
 +|Roller Target Speed|
 +|Product Thickness|
 +|Product Width|
 +
 +You can see that each asset has it's own unique Y axis. This lets us directly compare properties like //speed// - measured in meters-per-minute - with //thickness//, which is measured in millimeters.
 +
 +Remembering that each line is a different point in //time//, we can see that generally the target and actual speeds tend to stay quite close together, with the **actual** speeds showing more movement and noise than the target speeds, but both are sticking fairly close together.
 +
 +The product **thickness** appears to be the //inverse// of our speed. The greater the //speed//, the lower the //thickness//. In this case, it indicates that the line has to run thicker products slower.
 +
 +The product **width** is less strongly related than the other values. This indicates that it might not be directly related to the other measurements, or that it's relationship is complex.

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