◆ MATLAB

Plot hourly, daily, monthly energy consumption

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 taskPlot the 'Power_Consumption' data from 'building_energy.csv' as a time series, showing hourly…+
Plot the 'Power_Consumption' data from 'building_energy.csv' as a time series, showing hourly consumption for January 15, 2024. Label the x-axis 'Time of Day' and the y-axis 'Power (kW)'.
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 energy consumption plot to the facilities manager, make it easy to…+
Before I send this energy consumption plot to the facilities manager, make it easy to interpret. Highlight the peak consumption hours on the daily plot, clearly distinguish between weekday and weekend averages on the weekly plot, and use a consistent color scheme across all three views so the trends are obvious.
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 generated a plot of the daily energy consumption for last month, but it's a mess of…+
I'm trying to visualize the daily energy consumption, but the raw data is so noisy, the plot is unreadable and doesn't show the real patterns.
I just generated a plot of the daily energy consumption for last month, but it's a mess of spikes and dips. The facilities team needs to see the underlying consumption patterns, not just raw noise. If I present this, they'll be confused. How should I best smooth or aggregate this data to reveal the true daily usage trends without distorting the overall consumption for the energy audit?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI frequently get feedback that my plots of hourly or daily data are hard to read or don't…+
My plots of sensor data are often too noisy or poorly formatted, leading to confusion and extra questions from my colleagues.
I frequently get feedback that my plots of hourly or daily data are hard to read or don't clearly convey the main message. I spend too much time tweaking colors and labels after the fact. What habit can I change to ensure my visualizations of time series data are always clear, concise, and immediately understandable to my project team, right from the first draft?
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.