Data Analysis is the process of systematically applying statistical and logical techniques to describe and illustrate, condense and recap, and evaluate data.

Content analysis is a research method for studying documents and communication artifacts, which might be texts of various formats, pictures, audio or video.

Descriptive statistics uses the data to provide descriptions of the population, either through numerical calculations or graphs or tables. Inferential statistics makes inferences and predictions about a population based on a sample of data taken from the population in question.

Researchers commonly assign numbers or values to the attributes of people, objects, events, perceptions, or concepts. This process is referred to as measurement. The variables that are measured are commonly classified as being measured on a nominal, ordinal, interval or ratio scale.

Graphic Representation is a method to show and represent values, increases, decreases, comparisions to either make predictions or show a report of how certain situation was yesterday and how it is today. It is the visual display of data through charts and graphs

A measure of central tendency is a summary statistic that represents the center point or typical value of a dataset. These measures indicate where most values in a distribution fall and are also referred to as the central location of a distribution.

Statisticians use summary measures to describe the amount of variability or spread in a set of data. The most common measures of variability are the range, the interquartile range variance, and standard deviation.

Measures of Relative Position are conversions of values, usually standardized test scores, to show where a given value stands in relation to other values of the same grouping.