Get the series right first
Clear series = clear stories. In Operator10 chart series, rename each line to what people actually say (“Influent BOD,” “Effluent BOD”). That fixes legends and keeps screenshots self-explanatory later.
Pick types that fit the data
Lines are best for continuous measures. Bars can work for monthly summaries or side-by-side comparisons. You can mix types (e.g., bars for averages, lines for daily values) when it helps—but keep styles simple.
Choose the right range
- Single day / 7 days: troubleshooting and short cycles.
- Full month: routine review.
- 12 months: seasonal trends and targets.Switch ranges in Properties → General before exporting. Operator10 chart series should always match the question the viewer is asking.
Add and remove fast
Use Series → Add to pull in more Location Parameters without rebuilding. If a series isn’t needed, Remove it instead of hiding—cleaner legend, cleaner point of view.
Optional: interpolated daily data
If your dataset has gaps, you can use an interpolated daily view so the line renders without breaks. Use it to see trend shape, not to invent exact missing points.
Legend discipline
Keep 3–5 items max. If you must go higher, place the legend outside the plot, shorten names, and consider grouping charts (e.g., one for influent, one for effluent).
Versioning across databases
Saved charts live in the current database. If you support multiple facilities, save a copy with a facility tag in the name so the right team opens the right view.
Result
Good names, sensible types, and matched date ranges make charts that answer questions in one glance. Operator10 chart series fundamentals are the fastest way to better decisions.
Next Steps: Standardize series and ranges for your top charts →
