TEMPERATURE DATA ANALYSIS

Abstract

Temperature Data Analysis is a simple data analysis project developed using Python and the NumPy library. The main objective of this project is to analyze temperature values and extract useful information from the dataset. In this project, temperature data for a number of days is collected from the user as input. The program stores the data in NumPy arrays and performs various statistical operations such as calculating the average temperature, maximum temperature, and minimum temperature. It also identifies temperatures that are above the average and shows the difference between each temperature value and the average temperature. This project demonstrates how basic programming and numerical libraries can be used to analyze real-world data efficiently. The implementation helps beginners understand how Python and NumPy can be applied in data analysis and scientific computing. Additionally, the project improves programming skills by using arrays, loops, and built-in functions. It also shows how simple data analysis techniques can help understand patterns and variations in temperature data over a specific period.