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Data visualizations are essential tools in communicating complex information like pollution levels, making them easier for the public to understand. In the context of Delhi, one of the most polluted cities in the world, visual representations help track the severity, sources, and patterns of pollution. Here are five examples of data visualizations that can be used to depict pollution levels in Delhi. 1. Bar Chart on PM2.5 Levels Over Time A bar chart can show the fluctuation of PM2.5 levels in Delhi over a specific period, such as months or years. The X-axis represents time (months or years), while the Y-axis represents the concentration of PM2.5 in micrograms per cubic meter (µg/m³). Each bar would represent the average PM2.5 level for a given time period, ______ ___ ________ _________ _______ __________ ___.
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