Getting Started: Terminology Basics
Data vs. Statistics
In the world of academic research, there is an important distinction between data and statistics.
Data are the raw ingredients from which statistics are created. In reverse, statistics provide an interpretation or summary of the data.
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 like this:
If you want to explore, extract, and analyze data, use Odesi. This web-based tool will give you access to variables across hundreds of datasets.
Statistics are the result of data analysis. Statistics provide an interpretation or summary of the data.
Statistics usually come in the form of a table or chart:
If you would like more information on how to understand statistics and data, try these resources:
Graph Types – Statistics Canada (Describes different types of graphs and when to use them.)
Joy of Stats video (Award-winning one-hour video from the dynamic and inspiring Hans Rosling. For a small taste, watch “200 Countries, 200 Years, 4 Minutes”. Gapminder.org provides free graphs and bubble maps on a variety of topics.)