Overview | Source data | Performance indicators | Analysing performance | Charts | Reporting exceptions | Settings
XSdetect Nano provides four full-screen chart formats which make it easier to see the detail of trends and relationships. They can be captured to the Windows clipboard (using Ctrl-PrtScr) and pasted into documents.
The story starts with the Scatter diagram which shows the relationship between consumption and its nominated driving factor (set in row 3 of the source data worksheet).

If any points have been selected in the analysis sheet, they will be highlighted in red and a red trial characteristic line will be shown (see see example).

The illustration shows a green default characteristic line which is only present if non-zero values for c (target) and m (target) have been set in the source data worksheet, rows 5 and 6.

It also shows a historical baseline characteristic, which will only be present if non-zero values for c (baseline) and m (baseline) have been set.

Scatter diagram
The following charts can be plotted against either the target or the historical baseline characteristic. For simplicity, all are shown relative to the target.
When there is a default characteristic line as illustrated above, XSdetect Nano can calculate expected consumptions and these are plotted as a line in the Norm chart, with actual consumptions represented by individual point markers.

This chart is useful for demonstrating, to non-expert users, the ability to compare actual with expected consumption in a meaningful way. Again, if particular points are currently selected for analysis, they will appear highlighted in this chart (see example).

Norm chart
The Deviation plot shows the history of the difference between actual and expected consumption. Currently-selected points will again be highlighted (see example).

An additional feature on this plot is a pair of dotted red lines, set to represent the typical amount of variation. The position of these control limits is set in row 8 of the source data worksheet. It is automatically recalculated during the analysis process, but its value can be preserved by not altering the entry in the table.

Deviation plot
The Cusum chart shows the cumulative sum of the difference between actual and expected consumption. It is a critical tool for the analyst and has the following properties:
  • When its trend is horizontal, performance is as expected;
  • A downward trend implies performance systematically better than expected;
  • An upwards slope shows that performance is systematically worse than expected.
The cusum chart breaks the history down into periods of different behaviour. Click here to view an example which shows a period of better-than- expected performance in the middle of the history, with the affected intervals highlighted for analysis. It can be seen that this is preceded and followed by periods of slightly worse-than-expected performance.
Cusum chart