House-Cleaning: Getting rid of outliers I
Working with real-world data presents many challenges that sanitized text book data doesn’t have. One of them is how to handle outlier. Outliers are defined as points that differ significantly from other data points and they are especially common in data obtained through manual input processes. For example, on an online listing site, someone might accidentally pressed the zero-key a bit too often and suddenly the small rental flat is as expensive as a palace. »