Sum Power BI Two Filters Calculator

Calculator

Example Data Table

Formula Used

The calculator first tests each row against both selected filters.

Matched row rule: Filter 1 is true AND Filter 2 is true.

Unit conversion: P_W = P × unit factor.

Efficiency option: P_effective = P_W × efficiency ÷ 100.

Filtered sum: Total = Σ P_effective for every matched row.

The generated DAX style measure follows CALCULATE with two filter arguments.

How to Use This Calculator

Enter a table name and power column name. These names are used in the DAX style output.

Select the first field and value. Then select the second field and value.

Enter physics power rows with device, phase, test, zone, condition, power, unit, and efficiency.

Choose exact match or contains match. Exact match is best for clean report categories.

Press Calculate. The result appears above the form and below the header.

Use CSV or PDF buttons to save the current result.

Understanding filtered power sums

Power data often arrives in rows. Each row may describe a device, phase, test group, location, or scenario. A simple total can hide important differences. Two filters make the total more useful. You can isolate one device and one condition. You can also match a phase and a laboratory run.

Why two filters matter

In physics work, power is tied to time, load, voltage, current, and efficiency. A report may need only motor readings from trial A. Another report may need heater readings from the south bay. The calculator follows the same idea used in a common analytical measure. It filters the table first. Then it adds only the matching power values.

How the result is built

Each row contains labels and a power value. The first filter checks one selected field. The second filter checks another selected field. A row must pass both checks. The matching power values are converted to watts. Then the total, average, count, maximum, or minimum is shown. The DAX style measure is also shown for reference.

Using the output

The filtered total can support a lab note, a dashboard card, or an equipment comparison. It can also help verify a data model before a report is published. When the calculator result differs from your report, check spelling, units, and blank rows. Also check whether your reporting model uses exact matching or contains matching.

Good data habits

Use clear category names. Keep units consistent. Avoid mixing watts, kilowatts, and horsepower without conversion. Record the same filter labels every time. Small naming changes create missed rows. Add notes when readings are estimated. Review the example table before entering your own records. It shows how two filters narrow a set.

Practical physics uses

This tool is useful for power balance checks. It can summarize panels, motors, circuits, thermal loads, or optical sources. It does not replace measurement judgment. It simply applies consistent arithmetic after filtering. Use it as a quick audit step. Then compare the result with calibrated instruments and approved analysis methods.

Checking dashboard logic

A clean filtered total helps expose model errors. It can reveal duplicated rows, wrong relationships, or missing categories before final publishing. That makes troubleshooting faster and safer.

FAQs