Analyzing data is a very important tool during a research because raw data or information has a very less use without any processing or analysis.
Analyzing data is the process of interpreting the meaning of given information. This process is also known as analysis of data. It also includes interpreting the conclusions and future outcomes. Determination of significance and implications of the findings of the data is also included in analysis of data. More specifically, it is the process of applying statistical techniques to illustrate and evaluate data systematically. Analyzing data is a process of inspecting, observing and modeling data in order to highlight useful information and making conclusions, on the basis of which decision making can be affected. This process has multiple approaches enabling a researcher to suggest diversified techniques useful in business, science and many other domains.
There are two types of data: Qualitative and quantitative. Both of them are analyzed differently.Analyzing Qualitative Data: Analyzing data during qualitative research includes analysis of statistical procedures and their observations. The main methods of analyzing qualitative data are:
|More topics in Analyzing Data|
|Graphing Data||Trend Line|
|Variance and Standard Deviation||Tally Marks|
|Statistical Inference||Statistics Variables|