{'fraction_non_alphanumeric': 0.018518518518518517, 'fraction_numerical': 0.0, 'mean_word_length': 5.2517006802721085, '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}}
A Grey Correlation Analysis Approach to Analyze the Demand Factors for Movie Theatre Attendance

Strong seasonality in demand, a short life cycle, and the constant introduction of new products make the demand of movies one of the main strategic decisions taken by movies’ distributors. This paper provides a rich assessment of the demand characteristics for movie theatre attendance. Taking into account the factors such as star, budget, release time, sequence, producing county and etc, a gray relationship approach is introduced to find the main factors that influence movie demand. Our research shows that the audience demand and sequel factors had the highest correlation. The correlation degree of attendance people and distribute copies is relatively high. Moreover, the more stars and the higher investment, will bring the more audience demand. The computing results will help the operators to maximize revenue.