{'fraction_non_alphanumeric': 0.01139240506329114, 'fraction_numerical': 0.0, 'mean_word_length': 5.084615384615384, '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}}
Types of data, methods of collection, handling and distribution

Statistics is assumed to be a tough nut to crack by novices and young researchers mainly because of the lack of understanding of the fundamentals. This article describes the types of data and the methods for compiling the raw data in an orderly fashion, followed by appropriate handling of the collected data to ensure completeness and quality. Once the data are entered into statistical software, distribution of the data should be assessed to apply appropriate statistical tests. Since the type and nature of distribution of data are the main determinants of the type of statistical test to be applied, researchers should have a thorough understanding of these aspects to help derive meaningful outcome from their research.