Physics DAX builder
Create a new calculated column
Enter source field names and sample values. The result appears above this form after submission.
Example data
Example PhysicsData table
| Mass_kg | Acceleration_mps2 | Velocity_mps | Area_m2 | Force_N |
|---|---|---|---|---|
| 10 | 9.81 | 4 | 2 | 98.10 |
| 4.5 | 3.2 | 8 | 0.75 | 14.40 |
| 12 | -1.5 | -2 | 3 | -18.00 |
Formula used
Physics relationships supported
Force: F = m × a. Multiply mass by acceleration.
Kinetic energy: KE = ½mv². Square velocity before multiplying.
Potential energy: PE = mgh. Multiply mass, height, and gravity.
Momentum: p = mv. Multiply mass by signed velocity.
Pressure: P = F ÷ A. Divide force by nonzero area.
Density: ρ = m ÷ V. Divide mass by nonzero volume.
Mechanical power: P = F × v. Multiply force by velocity.
For division formulas, the generated expression uses DIVIDE with BLANK(). This protects reports from division-by-zero errors.
Usage guide
How to use this calculator
- Choose the physics calculation that matches your data.
- Enter the Power BI table and new result column name.
- Enter source column names exactly as they appear.
- Add sample values to verify the numerical result.
- Choose your preferred number of decimal places.
- Select Build Calculated Column to generate DAX.
- Copy the expression into a new calculated column.
- Validate several refreshed rows before publishing reports.
Reliable data modeling
Physics reporting with calculated columns
Turn observations into useful fields
Power BI calculated columns turn raw measurements into usable physics facts. They calculate one value for every table row. This works well when each observation needs its own result. A force sensor table may hold mass and acceleration. A new column can produce force in newtons. The value remains available for filters, charts, and relationships.
Match formulas with measurement units
Choose the correct calculation before writing DAX. Force uses mass multiplied by acceleration. Kinetic energy uses one half mass times velocity squared. Momentum uses mass times velocity. Pressure divides force by area. Density divides mass by volume. Power uses force multiplied by velocity. Potential energy also needs gravity and height. Each formula must match the measurement system. Store values in compatible units before calculating.
Name fields for clear interpretation
Column references should describe the physical meaning. Names such as [Mass_kg] and [Velocity_mps] prevent confusion. Add units to source names when possible. This reduces accidental conversions later. Use decimal number data types for measurements. Whole numbers may lose precision during division. Avoid text values in numeric fields. Clean blank values before they reach the model. Decide how blanks should behave. Return BLANK() where a missing reading means unknown. Return zero only when zero has real scientific meaning.
Protect division calculations
Check every divisor before using it. Area and volume cannot be zero. DAX can protect the model with DIVIDE. It returns an alternate result. This makes reports much more stable. For experimental data, retain the original source fields. A calculated column should supplement data, not hide it. Add a quality flag when a sensor reading fails validation.
Know columns and measures
Calculated columns work at row level. They are different from measures. A measure responds to filters and report context. A calculated column stores a value during model refresh. Use a calculated column for a fixed value per record. Use a measure for totals, averages, and interactive analysis. Both tools can appear in the same report. They simply solve different modeling tasks.
Verify results before publishing
Test the result with hand calculations. Pick a small sample of known rows. Confirm units and decimal placement. Compare the DAX result with a scientific calculator. Review negative signs carefully. Directional quantities may need signed values. A speed field is normally nonnegative. A velocity field may be positive or negative. The correct source column matters.
Keep the model easy to review
Good model design supports later reporting. Create one clear result column for each physical property. Use a readable name such as [Force_N]. Add a description in model documentation. Keep source units consistent across imported files. When conversions are needed, make them explicit. Separate conversion columns can improve traceability. This structure helps reviewers understand each report. It also makes error checking faster.
Build with confidence
Use this tool to draft a dependable DAX expression. Enter your table and source column names. Select the physics relationship. Check the example result before copying the expression. Then paste it into a new calculated column. Validate a few rows after refresh. A careful setup creates reliable numbers for analysis.
Common questions
Frequently asked questions
1. What is a calculated column?
A calculated column evaluates a DAX expression for every row during data refresh. The resulting value becomes a field in the model. It can be used in relationships, filters, tables, and report visuals.
2. When should I use a calculated column?
Use one when each record needs a fixed derived physics value. Examples include force, pressure, density, and momentum. Use measures when the calculation must change with report filters or aggregation context.
3. Why does pressure use DIVIDE?
DIVIDE handles zero or blank denominators safely. It can return BLANK() instead of an error. This prevents a single invalid area value from breaking a report or creating misleading infinite values.
4. Can I use negative velocity?
Yes. Negative velocity can represent direction. Momentum and mechanical power may also become negative. Ensure that the sign convention is documented and remains consistent throughout the source data.
5. Which units should I use?
Use one compatible system for every source field. SI units are usually easiest. For example, use kilograms, meters, seconds, newtons, joules, pascals, and watts when you need standard physics results.
6. Does this tool change my report?
No. This page generates a DAX expression and checks sample values. Copy the expression into your own model. Review field names and units before creating the calculated column.
7. Can blank readings be retained?
Yes. Use BLANK() when a missing measurement means unknown. This preserves data quality information. Do not replace unknown readings with zero unless zero is a valid recorded measurement.
8. What is the difference between speed and velocity?
Speed has magnitude only. Velocity has magnitude and direction. A signed velocity column is appropriate for momentum and directional power calculations. Choose the source field that matches the formula.
9. How many decimal places are appropriate?
Match the precision to your measurement process. Extra decimals do not create accuracy. Four places work for many examples, but laboratory instruments and reporting rules may require a different choice.
10. Should I convert units inside the same column?
Separate conversion columns are often easier to audit. Convert source values first, then calculate the physical property. This makes the calculation clearer and helps reviewers trace each transformation.
11. How do I verify the generated expression?
Test known rows with hand calculations. Compare signs, units, and decimal placement. Use it for consistent, readable, and trusted reporting decisions.