{'fraction_non_alphanumeric': 0.016472868217054265, 'fraction_numerical': 0.0, 'mean_word_length': 5.3765432098765435, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Research issues in intelligent data visualisation for exploration and communication

Efficiency and quality of solving problems by people are greatly affected by the way in that relevant information is arranged and presented. There is a need for intelligent software assisting humans by automatic generation of adequate presentations. We focus on graphical and especially cartographic data presentations and distinguish two problem classes where these presentations have high potential: data exploration and communication. It is argued that graphics design principles should be different for these two classes. Data communication is treated in a wider sense than merely report making: it is proposed to consider a "visual message" being built with respect to author's pragmatic goals, beliefs, attitudes, etc., as well as the image of the addressee. We outline the necessary research directions and reason about the role that could be played in such a research by the prototype knowledge-based system IRIS we have developed earlier.