Importance of Combining Data

Understand the usefulness and importance of combining datasets for data analysis.

Recap of pandas data structures

Before we see how data can be combined and manipulated, let's briefly go over pandas data structures. The two primary data structures of the pandas library are the Series (one-dimensional data) and the DataFrame (two-dimensional data).


A Series is a one-dimensional labeled array that can hold any data type (integers, strings, floating point numbers, objects, etc.). The data in a Series also comes with axis labels collectively known as the index. For example, we can create a simple Series from a set of five random numbers (generated by NumPy) with the following code:

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