How can I handle outliers in my Python dataset?

How can I handle outliers in my Python dataset?

You can handle outliers in Python using methods like Z-score, IQR, or by using libraries like Pandas.

What is the IQR method?

The IQR method involves calculating the interquartile range and removing data points that fall below Q1 - 1.5IQR or above Q3 + 1.5IQR.

Can you show me a code example?

Sure! Here's a simple example:

import pandas as pd

data = pd.DataFrame({'values': [10, 12, 12, 13, 12, 100]})
Q1 = data['values'].quantile(0.25)
Q3 = data['values'].quantile(0.75)
IQR = Q3 - Q1
filtered_data = data[(data['values'] >= Q1 - 1.5 * IQR) & (data['values'] <= Q3 + 1.5 * IQR)]

What if I want to visualize the outliers?

You can use box plots to visualize outliers. Libraries like Matplotlib or Seaborn can help with that.