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Podcast: Data Skeptic
Episode: [MINI] Auto-correlative functions and correlograms
Description: When working with time series data, there are a number of important diagnostics one should consider to help understand more about the data. The auto-correlative function, plotted as a correlogram, helps explain how a given observations relates to recent preceding observations. A very random process (like lottery numbers) would show very low values, while temperature (our topic in this episode) does correlate highly with recent days. Â See the show notes with details about Chapel Hill, NC weather data by visiting: Â https://dataskeptic.com/blog/episodes/2016/acf-correlograms Â