What is time series analysis?
Time series analysis is a statistical technique used to analyze time-ordered data points to identify trends, patterns, and seasonal variations.
Can you give me an example of where it's used?
Sure! It's commonly used in finance for stock price analysis, in economics for GDP forecasting, and in meteorology for weather predictions.
What are some common methods used in time series analysis?
Some common methods include ARIMA (AutoRegressive Integrated Moving Average), seasonal decomposition, and exponential smoothing.
How do I start with time series analysis?
You can start by collecting time series data, then use software like Python or R to apply various analysis techniques.
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