Data Visualization
Introduction to different data visualization libraries that are used in Python.
We'll cover the following
In the early stages of a project, creating visualizations helps with Exploratory Data Analysis (EDA). Visualizations allow us to gain insights into our data by making things easier to understand. When we place data into a visual context patterns, trends, and correlations that might have otherwise gone undetected rise to the surface.
In the middle stages of a project, we can use visualizations to gain more insights and generalize model results.
Towards the end of a project, it’s very important to be able to present our results in a clear, concise, and compelling manner so that our audience (which is often made up of non-technical people) can understand the results.
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