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Deep dive · module 78 of 100

AI for data analysis

Use AI to describe data and gain initial insights.

After this lesson

You have AI describe a dataset and then verify the conclusions.

In view · Along the same yardstick

Figures require their own check

  1. Use a small fictitious dataset with clear columns and units.

  2. Have possible patterns described and assumptions named.

  3. Verify important calculations with a spreadsheet or code.

Remember: A described correlation is not yet a proven cause. Open het volledige schema ↗

Describe, do not calculate

AI can describe patterns, but it is better to perform exact calculations in a spreadsheet or code.

Ask for assumptions

Have AI indicate which assumptions it is making.

Check figures

Compare important numbers with the source data.

New practice example

From explanation to a usable result.

Use AI to explore an analysis, but verify definitions, units and calculations.

Fictional practice situation

Fictitious count: January has 10 requests and February 15. The column measures requests, not customers or revenue.

View a possible solution

This is how it can be done

The number of requests increases by 5, or 50% compared to January. Nothing follows from this regarding customer numbers or turnover without additional data.

Why this works

Keep absolute change, relative change and meaning separate. Verify the calculation independently.

Make it slightly more difficult

Let January contain zero requests. Why can you then not calculate a percentage increase in the same way?

Extra practice, at your own pace. You do not need to submit anything. This does not count towards an automatic assessment.

Your workplace · learning by doing

Make something. See what changes.

Ende, your light pink practice buddy

The fictitious source is included. Only when selecting ‘Let Ende answer’ do you send your assignment to the AI service. Do not use private data.

Checking the AI connection… You can already view the written example.

Your result

No answer yet

Present your assignment to Ende.
Read the answer, change one thing, and compare.

You remain in control

What do you want to improve in your next attempt?

My own check

On this device only. AI answers remain only in this page memory. This is self-review, not a grade.

Why this approach works

Keep absolute change, relative change and meaning separate. Verify the calculation independently.

A step further

Let January contain zero requests. Why can you then not calculate a percentage increase in the same way?

A prompt to get you started

Describe the main patterns in this data. Do not provide exact calculations unless you can substantiate them. Mark uncertainties. Data: [data].

Apply it

A spreadsheet contains duplicate rows and empty values. AI presents a ranking without reporting these issues.

A table with empty and duplicate rows. Illustration for the question.

Which approach best fits this situation?

  • Define how you handle duplicates and missing values and recalculate in a verifiable way.
  • Treat every empty value automatically as zero.
  • Use the ranking without checking the data definition.

With JavaScript, you can check your approach and receive immediate feedback.

Test your insight

Data and the described patterns. Illustration for the question.

What is a safe way to use AI for data analysis?

  • Letting AI do the calculations and trusting them immediately.
  • Having AI describe them and checking the figures yourself.
  • Never using AI for data.
Extra practice

Describe how you would use AI to explore a dataset, including how you would verify the conclusions.

Have AI describe which products are mentioned most often, then count the numbers yourself in the spreadsheet.

A question? I'll help you on your way.

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