Visualizing Data and Data Storytelling

Data visualization is the process of creating images, charts, and other visual data. This is performed to reveal and understand underlying trends and patterns in the data. These skills are important in order for data scientists to tell compelling data stories. For example, a marketing analyst may examine online customer behavior to identify purchasing habit trends such as seasonal trends, product preferences, or demographic correlations. These patterns can be used to craft targeted marketing campaigns or develop personalized recommendations, enhancing customers. Alternatively, an analyst may analyze historical financial time series data to identify patterns in market trends, stock performance, or economic indicators. By recognizing patterns, they can make informed predictions about future market behavior, guide investment decisions, and develop risk management strategies.

In this chapter, you will delve into the world of data visualization...