{'fraction_non_alphanumeric': 0.019011406844106463, 'fraction_numerical': 0.0, 'mean_word_length': 4.88268156424581, '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}}
Visualization as a Mean of Big Data Management: Using Qatar's Electricity Consumption Data

Visualization as a mean of big data management is the new century revolution. Managing data has become a great challenge today, as the amount of raw data size is increasing rapidly. For data like electricity consumption, a new data value is received every minute from different areas. This creates the well-known five challenges for any data analyst trying to deliver a visual representation of such huge raw data. Adding to that, a data analyst should understand the four dimensions of the given data; Volume, variety, velocity and veracity. The integration of big data and visualization is the key to addressing real market significant shift in enterprise technology. The aim of the paper is to give an insight of ‘how to manage’ Qatars electricity consumption from raw data provided by electricity companies. This can lead to a much better visualization solution as analysts and top-level managers can understand how to act towards their resources and plan.