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his ork can also be divided among various team members involved in this task.
Experiential Learning
Video Session
can the code or visit the follo ing link to atch the video Introduction to Decomposition
https .youtube.com atch v r s p omg
After atching the video, ans er the follo ing questions
hat is decomposition
Decompose T ime S er ies Data into T r end
A time series record tracks the movement of the selected data points, such as the price of an asset, over a given period
of time. ime series decomposition is a fundamental step in time series analysis because it helps in understanding
the different contributing factors in the data and can aid in making forecasts or predictions. It considers a series as a
combination of level, trend, seasonality and noise components.
ample of a time series chart is given belo
.
15
.
1 3 5 6 9 11 13 15 16 19
e t, time series decomposition is a process of breaking do n a time series into the follo ing components
Level: he average of the series.
Trend: Any increasing or decreasing value in the series.
Seasonality: Any repeating short term cycle in the series.
Noise: Any random variation in the series.
Decomposition is typically used for time series analysis, and as a tool for analysis, it may be used to help forecasting
models.
o methods e ist for mi ing time series elements Additive and Multiplicative. ime series decomposition require a
model type to be specified for the seasonal component. Additive is the default, but you may easily ad ust that.
C apstone P roj e ct 119

