descriptive statistics can only be applied to sample datasets

Data Analysis is the process of applying logical or statistical techniques to evaluate and describe data in a meaningful way.

Data analysis involves examining and interpreting data in order to extract insights and draw conclusions. This may involve applying various statistical techniques, such as descriptive statistics, hypothesis testing, regression analysis, and machine learning, to identify patterns, relationships, and trends in the data. The goal of data analysis is to transform raw data into useful information that can be used to inform decision-making, develop strategies, or solve problems.

Data collection, on the other hand, refers to the process of gathering and recording information, while data exploration refers to the initial examination and visualization of data to gain insights and identify patterns.