From the course: Data Science Foundations: Data Mining in Python

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Air Passengers dataset

Air Passengers dataset - Python Tutorial

From the course: Data Science Foundations: Data Mining in Python

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Air Passengers dataset

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- [Instructor] Time series mining is a special kind of analysis for a special kind of data. And to demonstrate the algorithms that we'll use, I want to show you the Air Passengers Dataset. Let me begin by importing a few libraries, and then the Air Passengers Dataset comes from a well-known book from the 1976, but this gives us monthly data on the number of international airline passengers in thousands from 1949 to 1960. So long time ago, these weren't huge numbers, but you can see the increase overall and the variation, so this is a great example of doing time series analysis. I've saved the data as a CSV file in our data's folders. It's called AirPassengers.csv. And we can see the raw data by just reading it this way. And you can see we have here the month and we have the number of passengers in thousands during that month. So that's the basis of what we're starting with, but we do need to do a little bit of preparation…

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