Data Analysis in Material Science

The process of examining, purifying, manipulating, and modelling data in order to find relevant information, support inferences, and help decision-making. Data analysis is utilised in a range of business, scientific, and social science sectors. It has many dimensions and methodologies, encapsulating several techniques under many titles. Data analysis contributes to more scientific decision-making and helps firms run more efficiently in today's business world. Business intelligence refers to data analysis that significantly depends on aggregation, focusing mostly on business information, whereas data mining is a specific data analysis approach that focuses on statistical modelling and knowledge discovery for predictive rather than just descriptive reasons. The two types of data analysis used in statistical applications are descriptive statistics and exploratory data analysis EDA.