Can you explain what time series analysis is?
Time series analysis is a statistical technique used to analyze time-ordered data points to identify trends, patterns, and seasonal variations.
What are some common applications of time series analysis?
Common applications include economic forecasting, stock market analysis, resource consumption forecasting, and climate data analysis.
How do you perform time series analysis?
You typically start by collecting data, then visualize it, check for stationarity, and apply models like ARIMA or exponential smoothing.
What tools can I use for time series analysis?
Popular tools include Python libraries like Pandas and Statsmodels, R packages like forecast, and software like Tableau.
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