Question

How can I handle outliers in numerical data?

Answer 1

You can handle outliers by applying statistical methods like z-score or IQR (Interquartile Range) and then filtering or transforming the data. Here's an example using the IQR method:

Q1 = df['Column_Name'].quantile(0.25)
Q3 = df['Column_Name'].quantile(0.75)
IQR = Q3 - Q1

# Filter outliers
df = df[(df['Column_Name'] >= Q1 - 1.5 * IQR) & (df['Column_Name'] <= Q3 + 1.5 * IQR)]