Data Visualization project part of Data Visualization course at Aarhus University, Fall 2019 semester.
In this project a dataset from a sneaker reselling website (https://stockx.com) will be explored. The visualizations are build with the purpose of informing users about underlying insights in the dataset. This is done by defining a task abstraction and evaluating each visualization by its expressiveness and effectiveness. The overall goal is to inform the user about trends, so that the user can define its own trading strategy. A heatmap visualization is used to give an overview of the data with an interactive function to select a specific brand, furthermore details on demand are presented by using a scatter plot for every available type/colorway of sneaker with technical indicators.