{'fraction_non_alphanumeric': 0.01053159478435306, 'fraction_numerical': 0.005516549648946841, 'mean_word_length': 5.0638297872340425, '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}}
Analyzing and Exploring the Impact of Big Data Analytics in Sports Science

Big data is the first-ever use of data and statistics enabling to make effective decisions in professional sports. The primary focus of the research paper is to evaluate how the use of big data has benefited sports. The research work conducted in the paper focuses on extracting information from the constructed database as per user requirements. Two different databases have been constructed by gathering data from espncricinfo.com. The first database consists of the records of batsmen comprising 15 attributes relevant to the international career of the batsmen. The second database contains records of bowlers involving 16 attributes relevant to the international career of the bowlers. The research paper encompasses a detailed flowchart and an algorithm detailing the systematic approach followed to mine required data from the database. The research work conducted would enable any cricket fan or a layman to mine the information in which he/she is interested. The proper utilization of the data gathered from different sources like wearable devices enables coaches and team management to get the best out of the players. The research paper elaborates on the use of the Hortonworks Hue 2.2.0 framework in analyzing the gathered data and extracting information via appropriate tools of the framework as per need. The constructed database is uploaded into the framework and the queries and scripts are formatted to get results in tabular and graphical form. The research work would enable coaches and instructors to select best batsmen and outstanding bowlers to construct a strong team via mining the relevant databases and come out with the best outcome. The research work would even enable general masses to built their own teams after analyzing the past performance of different batsmen and bowlers and construct their own teams and participate in fantasy gaming platforms like Dream11, MyTeam11, Howzat, etc.