Temporal Visualization of Climatic Variability in Dhaka Decadal Analysis Utilizing Java and Python

This paper discusses how Java's arrays and loops can efficiently handle large datasets and how visualization helps in the interpretation of data. Using a simulated set of weather data for a decade, it illustrates how data is stored in arrays, how averages and extreme values are calculated, and how loops can carry out repeated analyses of data. Visualization—through line charts and histograms—helps to tease out seasonal patterns in temperatures; Python supplements the limited visualization in Java. This paper has demonstrated the place of fundamental programming structures in the processing of complex datasets and has pointed out the potential for further exploration with dynamic data structures and specialized visualization libraries.