Data visualization is the graphical representation of information and data. By using visual elements such as charts, graphs, and maps, data visualization enables us to see and understand trends, outliers, and patterns in data. Data visualization helps to tell stories, getting rid of the noise and highlighting the useful information. It is where art and science meet in category management and shopper insights - the data and analytics are the science, and it needs to work together with the visuals (or art) for great storytelling.
In Part 1 (521), we make connections between creative storytelling and analysis, with some great examples of data visualization for different data sets. In Part 2 (522), we show learners how to create data viz for conceptual ideas and non-data outputs, and how to use diagrams and visual metaphors to illustrate relationships and clarify concepts to reinforce their presentation points.