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okay the next lecture is about time series analysis so let's start by defining a time series and all it is is an ordered sequence of values of a variable at equally spaced time intervals and there are four examples shown here and they all demonstrate characteristic so we're going to talk about throughout the rest are rest of this lecture but they're all visually very distinctive right you can describe them in terms of how they change over time over the long run how they change at a high frequency so how they change year to year whether you can recognize patterns whether you can recognize you know noise or other random elements that we can't describe using a nice trend so for our purposes you know the discussion of time series analysis is going to be and it's used in the energy industry has some things in common with topics we've already gone over like the discussion of probability and regression you know time series in general were often

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