👉 Chart engineering is the process of designing, building, and maintaining visual representations of data to effectively communicate insights and trends within a dataset. It involves selecting the appropriate chart types, customizing elements like scales, colors, and labels, and ensuring that the visualizations are clear, accurate, and easy to interpret. The goal is to transform complex data into intuitive charts that help stakeholders quickly grasp key information and make informed decisions. This includes addressing potential pitfalls such as misleading scales, cluttered designs, or inappropriate chart types that could distort the data's meaning. By mastering chart engineering, data professionals can enhance the clarity and impact of their visual storytelling, making it easier for audiences to understand and act upon the data presented.
