Outliers
Explore the concept of outliers in time series data and learn how to differentiate actual rare events from data errors. Understand practical methods to handle these outliers, including flagging significant real-world events and imputing missing or erroneous values, all using Python's pandas and data manipulation tools. This lesson equips you to manage anomalies effectively for better data quality and analysis.
We'll cover the following...
We'll cover the following...
Outliers
There are essentially two different types of outliers: actual outliers and errors. Let's look at what they are and how to deal with them.
"Actual" outliers
Actual outliers are values that are completely outside of the usual range for the time series ...