Bubble maps are definitely an efficient tool for data visualization, conveying multi-dimensional information through bubble size, color, and position, and intuitively presenting data relationships and distributions.
Their advantages are significant: strong visual impact, quickly highlighting key data (e.g., large bubbles represent high values); able to simultaneously display categories, values, geography, etc., suitable for macro analysis (e.g., population distribution, economic indicators).
However, there are also limitations: overlapping bubbles can easily cause information confusion; when the differences in values are too small, the size distinction of bubbles is low, which may mislead judgment; when the data volume is too large, the visual can become cluttered, affecting interpretation.
When using, it is necessary to balance information density and clarity, reasonably design colors and layouts, to maximize the value of conveying data insights, making it a practical choice for exploring trends and communicating conclusions.
@bubblemaps @bubblemaps #Bubblemapsand $BMT