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The problem of developing an effective way to display selected dynamic information of geographical content on an interactive map is being investigated. Various approaches to solving this problem are analyzed, including the use of Python programming language. Pointing out their advantages and disadvantages, the paper proposes an approach that allows one to complete the task in full with high efficiency and low cost of time and human resources. It is based on a model that uses a Data Science methodology of five stages: obtaining primary data, data processing, necessary calculations, visualization creating and visualization disseminating. As a source of data there were used open data from the web portal “Diia”, developed by the Ministry of Digital Transformation of Ukraine, and data from the Institute of National Memory. The processing of the data was as follows: each toponym was assigned a localization binding and it was determined whether it falls under the law on decommunization or not. The processed data were visualized using the Google Maps web mapping service. Each non-decommunized object was marked on the map. The interactive map is integrated into the Analitycs-UA web portal.
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Stored only when both papers are in the corpus — 8 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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