◆ MATLAB

Clean missing data

This is real work, not a feature someone invented — it comes from real job ads and real questions people asked. Below are four ready AI prompts: get it done, make it easy for the next person to say yes to, work out the right move when you are stuck, and stop it coming back.

4prompts
See the prompt↓All MATLAB tasks

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskLoad the sensor data from the environmental monitoring station. Identify and remove any NaN…+
Load the sensor data from the environmental monitoring station. Identify and remove any NaN values, then interpolate the missing temperature readings using a linear method. Save the cleaned data to 'cleaned_temp_data.csv'.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
BImprove — make it easier to acceptBefore I send this cleaned sensor data to the climate research team, make the missing data…+
Before I send this cleaned sensor data to the climate research team, make the missing data imputation more robust. Compare linear and spline interpolation methods, and provide a visualization of the imputed points versus the original data, so they can assess the impact of the cleaning process.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentI just cleaned the missing data from the air quality sensors, and now the subsequent…+
After cleaning the missing data, the statistical analysis results for the air quality sensor show a significant, unexpected shift.
I just cleaned the missing data from the air quality sensors, and now the subsequent statistical analysis shows a dramatic, unexpected shift in the pollution trends. Dr. Schmidt is expecting these results for the grant proposal due Friday, but I'm worried the cleaning process introduced an artifact. I can't submit potentially misleading data. What's the most likely reason for this sudden shift, and what's the best way to quickly verify if the data cleaning is the culprit or if it's a genuine trend?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI'm often uncertain about the best method to handle missing data in my datasets, which leads to…+
I frequently find myself uncertain about the best method to handle missing data, leading to inconsistent results across projects.
I'm often uncertain about the best method to handle missing data in my datasets, which leads to inconsistent results and extra rework when colleagues question my approach. This uncertainty slows down my initial analysis. What habit can I change to more systematically evaluate and justify my missing data imputation choices, so I can proceed with confidence and produce more reliable analyses?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Questions people actually ask

honest answers, no sign-up

Every task here was seen in the real world. Someone doing the job named it, a real job ad asked for it, or a lot of people asked about it online.

If nothing real showed a task, it is not on the page. That is the whole rule.

They are the same job approached four ways, because what you need depends on where you are.

Get it done today. Make it easy for the next person to say yes to. Work out the right move when you are stuck. Learn the pattern so the job stops coming back.

For most of these jobs it can carry the heavy thinking - draft it, sort it, check it, rehearse it with you.

It cannot sit in your chair, take the blame when a number is wrong, or notice what nobody wrote down. Let it do the first 80%. Keep the last 20% that is truly yours.

No. Copy any prompt and paste it into the AI you already use. No account, no score, no wall in the way.

Any of them. The prompts describe the work rather than naming a product, so they are not tied to one assistant.

That is also why they keep working when you switch.

Change it freely. Every prompt is a starting line, not a rule.

Put in your real numbers, your real names and your real deadline. The more you make it yours, the better the answer comes back.

The tasks come from real job ads, published job data and the questions people ask in public forums.

The steps come from MATLAB's own documentation, with practitioner sources for the traps the manual does not mention.

Push once. Ask it to sharpen the weakest part and to say what it assumed.

Most wrong answers come from a missing detail rather than a bad prompt - tell it the thing it could not know.