Welcome to another part of the series on data visualization techniques. In the previous two articles, we discussed different data visualization techniques that can be applied to visualize and gather insights from categorical and continuous variables.
In this article, we’ll go through the implementation and use of a bunch of data visualization techniques such as heat maps, surface plots, correlation plots, etc. We will also look at different techniques that can be used to visualize unstructured data such as images, text, etc.
A heat map(or heatmap) is a two-dimensional graphical representation of the data which uses colour to represent data points on the graph. It is useful in understanding underlying relationships between data values that would be much harder to understand if presented numerically in a table/ matrix.