Me: “I think I understand Python now😌
Python: Here’s an error for you.
Me: 👁️👄👁️
Then I’m back to AI like,
“Abeg what did I do wrong?
Learning Python is really something else. 😭
Before analysing a dataset, check these 11 things:
1. Duplicate rows
2. Missing values
3. Wrong data types
4. Inconsistent spelling
5. Leading/trailing spaces
6. Invalid dates
7. Unexpected changes in row count
8. Duplicate IDs
9. Irrelevant columns
10. Outliers
11. Broken relationships between tables
A beautiful dashboard built from dirty data is still a bad analysis., Clean first. Analyse second.
AI is changing the question every builder should be asking.
It’s becoming less about “Can I build this?”
And more about:
“What can I imagine that’s actually worth building?”
When building gets easier, the quality of your ideas matters even more..
Good morning, X. ☀️
It’s Monday, and it’s a new week. 🤍
May this week bring you good news, new opportunities, answered prayers, and the kind of progress you’ve been hoping for.
May something unexpectedly good happen for you.
Have a beautiful week ahead. 🙏🏽