Exploring Trends in Global Temperature: A Data Analysis Approach

As the global concern over climate change intensifies, understanding trends in global temperature becomes paramount for informed decision-making and policy formulation. This research paper employs a data-driven approach to analyze historical temperature records and uncover patterns contributing to our comprehension of climate change dynamics. Using data from reputable sources such as the NOAA - National Oceanic and Atmospheric Administration and the NASA - National Aeronautics and Space Administration, we conduct comprehensive data preprocessing, descriptive analysis, seasonal and regional variation assessments, linear regression modeling, and correlation analyses. In this study, we use data science methods to analyze temperature trends and their links to other climate variables. Our findings, presented through clear data visualizations, emphasize the importance of continuous monitoring and show how data analysis can enhance climate change awareness and guide adaptation strategies.