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hey guys welcome back so this is gonna be a pretty short and sweet video just showing you how to take a time series you might find in the wild identify the things that might be wrong with it for feeding it into art to the goal Arman type models and then how do you take care of all those things step by step so Ill make both the data and code available on my github and itll be linked in the description of this video so the data were looking at today is data from Google Trends which basically tracks whats the popularity of certain search terms over the years so were gonna look at a CSV file called ice-cream vs. heater so its basically looking at the search frequency of the word ice-cream vs. heater and well just be focusing on the search of heater for this video so heres what the data looks like I wont go over reading it in because thats been done a lot the data looks like this so one thing to note right off the bat is that its definitely increasing since 2004 until 2020 so pe