Data Visualization - An Introduction

As a data scientist, your job is to tell stories, with data and to communicate interesting insights to stakeholders. Data visualization plays a big role in this:

• In the early stages of a project, creating visualizations helps in Exploratory Data Analysis (EDA). It helps in gaining insights about your data by making things easier and clearer to understand. When we place things in a visual context patterns, trends, and correlations that might have otherwise gone undetected, come to the surface.
• Towards the end of the project, it’s very important to be able to present results in a clear, concise, and compelling manner so that your audience (which is often going to be non-technical people) can understand the results as well.