This post provides a comprehensive guide on how to perform exploratory data analysis for time series data. It covers techniques such as descriptive statistics, time plots, seasonal plots, box plots, time series decomposition, and lag analysis. The post also discusses how these analyses can be used for feature engineering in time series forecasting.
Table of contents
Time Series Forecasting: A Practical Guide to Exploratory Data AnalysisIntroductionDataExploratory Data AnalysisFree ResourcesConclusion103 Impressions