Exploratory Data Analysis (EDA) is an approach to data analysis for summarizing and visualizing the important characteristics of a data set. EDA focuses on exploring data to understand the data’s underlying structure and variables, to develop intuition about the data set, and decide how it can be investigated with more formal statistical methods. EDA is distinct from Data Visualization in that EDA is done towards the beginning of analysis and data visualization is done towards the end to communicate one’s finding. This course particularly pays attention to the applied techniques to data visualization narratives. We will draw on case studies from business world, industry to news media.