Once you have a clear idea of your data and your story, you need to choose the most appropriate format for your visualization. There are many types of visualizations that can be used to display air pollution data, such as maps, charts, graphs, tables, dashboards, or infographics. Each format has its own advantages and disadvantages, depending on the type, size, and complexity of your data, as well as the level of detail, interactivity, and aesthetics that you want to achieve. For example, maps are great for showing spatial distribution and variation of air pollution, but they can be misleading if the scale, projection, or color scheme are not well chosen. Charts and graphs are useful for showing trends, patterns, and relationships of air pollution, but they can be confusing if they are overloaded with too many variables, categories, or labels. Tables are good for presenting precise and numerical values of air pollution, but they can be boring and hard to read if they are too long or dense. Dashboards and infographics are effective for summarizing and highlighting key facts and insights of air pollution, but they can be distracting and inaccurate if they are not well designed and aligned with the data.