Category: PANDAS

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Chapter 9: Cleaning Empty Cells

How to clean / handle empty cells (missing values) in pandas. Imagine we are sitting together and I’m showing you real data on my screen. We will go slowly, understand why things are missing,...

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Chapter 10: Cleaning Wrong Format

cleaning data that is in the wrong format in pandas. Imagine we are sitting together with a laptop. I’m showing you a real messy dataset, explaining why these problems appear, how to recognize them...

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Chapter 11: Cleaning Wrong Data

Fixing Wrong Data” in pandas Imagine we are sitting together. I’m showing you a real dataset that came from a messy source (Excel sheets filled by different people, API responses, manual entries, etc.). We...

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Chapter 12: Removing Duplicates

Removing duplicates in pandas (Imagine we are sitting together with a laptop — I’m showing you the code, explaining what “duplicate” really means in practice, why it happens, when to remove them, when NOT...

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Chapter 13: Correlations

What is Correlation? (very simple first explanation) Correlation measures how two variables move together. If both go up together → positive correlation If one goes up and the other goes down → negative correlation...

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Chapter 14: Pandas Correlations

What actually is “correlation” in data analysis? Correlation tells us how strongly two numeric variables move together and in which direction. Common interpretations of the Pearson correlation coefficient (r): r value What it means...

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Chapter 15: Plotting

plotting — written as if we are sitting together in front of a screen, I’m showing every line of code, explaining why we do things this way, what common mistakes people make, and how...

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Chapter 16: Pandas Plotting

Pandas plotting tutorial — written as if we are sitting together, I’m showing you the code line by line, explaining why we do things a certain way, what is realistic in real projects, and...

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Chapter 17: Quiz/Exercises

Pandas Quiz / Exercises set designed exactly like a real classroom session. Imagine we have been learning pandas together for a while. Now it’s time to test yourself — not to “pass or fail”,...

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Chapter 18: Pandas Editor

How to use an online Pandas compiler / editor in 2025–2026 — including which platforms are currently the most suitable, how to use them effectively for learning pandas, what you should pay attention to,...