If you want to understand a phenomenon, you want data. Data can be analyzed and interpreted using statistical procedures to answer “why” or “how.” Data is used to create new information and knowledge.
Raw data is the direct result of research that was conducted as part of a study or survey. It is a primary source. It usually comes in the form of a digital data set that can be analyzed using software such as Excel, SPSS, SAS, and so on. This is what a data set looks like:
Statistics
If you’re looking for a quick number, you want a statistic. A statistic will answer “how much” or “how many”. A statistic repeats a pre-defined observation about reality.
Statistics are the results of data analysis. It usually comes in the form of a table or chart. This is what a statistical table looks like:
Source: Loyola University of Chicago & Statistical Abstract of the United States
Guide from MIT on how and why to cite data.
Data citation for Statistics Canada data.
Useful guide written by librarian at Michigan State University. Includes info on how to cite data using APA style.