How do I remove outliers from my dataset?
You can remove outliers using methods like Z-score, IQR, or visualizations like box plots. Which method are you considering?
I think I want to use the IQR method. Can you explain how that works?
Sure! The IQR method involves calculating the first (Q1) and third quartiles (Q3) of your data, then finding the IQR by subtracting Q1 from Q3. Outliers are typically defined as values below Q1 - 1.5IQR or above Q3 + 1.5IQR.
Got it! How do I implement this in Python?
You can use the pandas library. First, calculate Q1 and Q3, then filter your DataFrame to exclude outliers. Would you like a code example?
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