The general business in which implementation of process by which the data can be reviewed at arriving of an informed conclusion is known as data interpretation. And also the data can be arrive from multiple sources that help to enter the analyzing process with the haphazard ordering

Two different kinds of analyses

There are two different kind of analyzes used in datainterpretation and they are

  • Quantitative analysis in which it deals with quantity
  • Qualitative analysis in which it deals with quality

Four kinds of scale

The various kind of scale that is used for measurement are said to be

  • Nominal scale and this scale is having an non numeric categories that are not able to compare its Quantity and cannot be ranked and here the variables are said to be exclusive
  • Ordinal scale and this scale is said to be an exclusive category that runs with a logical order. Agreement rating and also the quality rating are the best example for ordinal scale that whether it is good or fair or it is strong or whether it can be agree or disagree are done in this ordinal scale
  • Interval and this is a type where the measurementscales of data are grouped into various categories with order and equal distance of the categories. And here there will be a arbitrary zero point in this scale
  • Ratio and this is the last kind which contains all the above three scales

Image result for Multiple analyzing sources with haphazard ordering

Data analyzing techniques

  • Activity kind of observation is possible and also with detailed behavioural patterns that can occur in this observation group. The amount of time spent in this activity and also the method of communication is being employed
  • Documentation coding can be observed and can also be divided on the basis of material in which they contain
  • The interview kind of approach that has been highly focused on data Segmentation is one of the best idea for narrating a data

Principles for quantitative and qualitative

There are three principles to be followed on data analyzing for both quantitative analysis and also for qualitative analysis

  • Noticing the things properly
  • collecting of things
  • thinking about things

Characteristic features of quantitative and qualitative data analysis

  • The first characteristic feature is said to be identifying of data and also explaining data
  • The second feature is comparing the data and contrasting the data
  • The third feature is identifying of data outlier
  • The last and final feature is final prediction of analyzing data

Thus the data analyzing of data is tend for an extreme subject. The nature and goal will be totally different and vary from business to business by correlating the data. And also the different kinds of analyzes are clearly explained with its principal characteristic feature that helps to process.