◆ MATLAB

Clean messy 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

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskRemove all rows with missing values from the 'sensor_readings.csv' dataset and save the cleaned…+
Remove all rows with missing values from the 'sensor_readings.csv' dataset and save the cleaned data to 'cleaned_sensor_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 use this customer feedback data for sentiment analysis, clean it up: remove duplicate…+
Before I use this customer feedback data for sentiment analysis, clean it up: remove duplicate entries, correct common misspellings like 'grate' instead of 'great', and convert all text to lowercase, so the analysis is more accurate.
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 ran the script to clean the 'experimental_results.xlsx' data, but the 'Temperature'…+
I just ran the script to clean the 'experimental_results.xlsx' data, but the 'Temperature' column still has non-numeric entries like 'N/A' and 'Err'.
I just ran the script to clean the 'experimental_results.xlsx' data, but the 'Temperature' column still has non-numeric entries like 'N/A' and 'Err', which are breaking my calculations. The principal investigator is expecting preliminary results by Wednesday morning, and I'm worried about the integrity of the analysis. I can't tell if the data import process introduced these, or if the original source is just messier than I thought. What's the most likely issue, and what's the best quick fix to get that column into a usable numeric format?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI constantly struggle with inconsistent units and formats in raw data from external partners,…+
I constantly struggle with inconsistent units and formats in raw data from external partners.
I constantly struggle with inconsistent units and formats in raw data from external partners, like 'meters' vs 'm' or different date formats, which always requires manual cleanup before I can start any analysis. This adds days to every project. What habit should I change in my initial data ingestion process to standardize these inputs more effectively and reduce recurring cleanup time?
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.