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Developed a political donation data tracking tool that supports multi-dimensional filtering—flexible queries based on recipient, amount, donor, and other criteria. Currently, Minnesota data has been imported, and historical data from other states is being gradually integrated. Plans include adding a visualization layer to display abnormal patterns in fund flow using a spider web-style relationship map. This network structure can intuitively reveal suspicious connections and irregular movements within the funding chain—similar to on-chain wallet tracking logic, but applied to the political funding domain. The more complete the data, the clearer the clues to potential fraud.