Data Sets

A data set is an organized collection of data. They are generally associated with a unique body of work and typically cover one topic at a time. Information elements within a data set relate to one another, and analysts often categorize types of data to create relevant data sets that support important business processes, like financial metrics or sales transactions.

In scientific and statistical professions, data sets can help professionals like biologists analyze information about the environment or climate of an area. In retail, a business may store information related to their customers in a data set for analysis. Researchers, scientists, mathematicians and analysts in finance, economics, sales and marketing often use data sets regularly in their jobs

.Data sets are effective tools for tracking and analyzing important information. Compiling related information into data sets can also help streamline analysis and evaluation processes. If you're interested in becoming a?data scientist, knowing more about data sets can help you better understand what this profession does.

What techniques can be used to represent data sets?

Having information stored in a data set often makes it easier to perform math operations and analysis. Below are some common techniques you can use on data sets to learn more about the underlying data:

• Mean:?The mean of a data set is the average of all the observations. It's a ratio of the sum of the observations to the number of elements.
• Median:?When you list data in ascending order, the median is the number that falls directly in the middle of the data set.
• Range:?The range is the difference between the highest and lowest value within a data set, which tells you more about how far a data set extends.