{'fraction_non_alphanumeric': 0.021601016518424398, 'fraction_numerical': 0.0, 'mean_word_length': 4.794117647058823, '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}}
Analysis of Road Fatal Accidents

Road accidents are a very common issue nowadays. The fatal road accidents causes a life loss of a number of people per day. The present innovation is proposed to make analysis in the same matter and will bring a change accordingly. The road accidents are mainly caused due to the excess light conditions, drunk and driving, the bad road surfaces, and the worse weather conditions. These causes are the prime reason for the road accidents. In the proposed innovation, the accidents causes are made to a fair analysis using the Apriori algorithm, Naive Bayes algorithm, and the K-means algorithm. Some suggestions of the road accidents management are made on the basis of obtained statistic, association and rules, classification models, and the clusters.