Following are the definitions "representative" of the countless articles I have read about data vs information and yet have nothing to say about them. Can anyone just put some accent upon these two so I would better understand statistical science?
Data is a representation of individual facts or statistics in their raw form. Since data contains only figures and numbers, it doesn’t hold any significance until a researcher analyses or contextualizes it. For example, data can signify basic numbers regarding the price of an object, the score on a test, or the current temperature outdoors. Information is an interpretation of data, where researchers identify patterns and draw conclusions based on raw figures. Using data, a researcher can draw meaningful conclusions about their desired subject. Information also has different meanings based on the context. For instance, the data tells you the temperature outdoors. One person may conclude that the temperature is high, while another person declares that it's low. When someone describes the temperate as being high, they’re providing information about their interpretation of the weather.
One more example that I found: Analysts conduct market research that entails data and information. Suppose they track the amount of money consumers between the age of 18 and 24 spent on hair products in 2018, representing data. The information includes a comparison of that figure to previous years and explanations of why it changed. Within the marketing industry, figures and interpretations enable professionals to monitor trends in consumer buying behaviors and how products perform on the market.