Facts and Dimensions in Python Matplotlib

Graphics and visuals, if used intelligently and innovatively, can convey a lot more than what raw data alone can convey. Matplotlib serves the purpose of providing multiple functions to build graphs from the data stored in your lists, arrays, etc. Let's start with the first lecture on Matplotlib. 

Before we start discussing different plots, we need to understand the elements that will help us prepare charts and plots effectively. Data are of two types, namely:

• Facts
• Dimensions

Let’s get a basic understanding of these from Vaidehi.

Facts and dimensions are basically different types of variables that help you understand data better. Facts are numerical data and dimensions are the metadata – data explaining some other data – associated with the fact variables. Both facts and dimensions are equally important for generating actionable insights from a data set.

In the next segment, you will start building graphical plots using Python. The first visualisation that you will try your hand at is a Bar Graph.