What are some examples of STL decomposition?
STL decomposition is a method used in time series analysis. It breaks down a time series into seasonal, trend, and residual components. Would you like to see a specific example?
Yes, can you provide an example using monthly sales data?
Sure! Imagine you have monthly sales data for a retail store. By applying STL decomposition, you can extract the trend (overall sales growth), seasonal effects (like holiday spikes), and residuals (random fluctuations). Would you like to know how to implement this in Python?
That sounds great! How do I implement STL decomposition in Python?
You can use the statsmodels
library in Python. First, install it using pip install statsmodels
. Then, you can use the STL
class to decompose your time series data. Would you like a code snippet?
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