Transforming data into a time series format

A time series constitutes a sequence of observations of a phenomenon that's carried out in consecutive instants or time intervals that are usually, even if not necessarily, evenly spaced or of the same length. It follows that time is a fundamental parameter in the analysis of a time series. To start, we must therefore acquire a certain confidence in manipulating data that represents a long-term observation of a certain phenomenon.

Getting ready

We will start by understanding how to convert a sequence of observations into time series data and visualize it. We will use a library called pandas to analyze time series data. Make sure that you install pandas before you proceed further...