In this tutorial, Gaelim is going to show how you can break down time series data into essential components. Using a time series decomposition method will help you find a better way to describe data when you try to describe trends, seasonality or unexpected events, and is a great stepping stone for forecasting.
***** Video Details *****
00:00 Introduction
00:45 Types of graphs
02:50 Dataset
03:15 Python script
05:30 Seasonal decompose
05:54 Creating visual within data
06:40 Seasonality
08:46 Residual
09:14 Not resetting index
10:08 Trend
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