2024 - Sustainable Industrial Processing Summit
SIPS 2024 Volume 1. Abe Intl. Symp. / Oxidative Stress and Technological Innovations in Medicine
| Editors: | F. Kongoli, H. Inufusa, T. Yoshikawa, C.A. Amatore, H-Y. Chen, W-H. Huang |
| Publisher: | Flogen Star OUTREACH |
| Publication Year: | 2024 |
| Pages: | 218 pages |
| ISBN: | 978-1-998384-04-4 (CD) |
| ISSN: | 2291-1227 (Metals and Materials Processing in a Clean Environment Series) |
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MATHEMATICAL AND STATISTICAL ANALYSIS OF DATA FOR SOUND SCIENTIFIC DISCOVERIES: THE CASE OF GLOBAL WARMING
Samuel Berger1;1DATA SCIENTIST AND CONSULTANT, Costa Mesa, United States;
Type of Paper: Regular
Id Paper: 510
Topic: 46
Abstract:
Mathematical and statistical analysis of data has as a goal to filter the raw data that in most cases is deceptive, by the methods of collection, processing and interpretation. Analyzing data is a science in itself since it includes normalizing the data using relational algebra, filtering the data based on collection methods and other critical factors, and making certain that data collected under the same conditions with the same rules are properly identified and appropriately organized for analysis, querying the data using standard query language and analyzing the data using advanced statistical methods. In this paper a major universal world-wide problem such as the global warming theory is analyzed from a different data analysis perspective. Data given in raw format are broken down and analyzed using data science principles and mythologies to give new insights and to open the perspective of new studies and research possibilities.