Get Editing And Coding Transforming Raw Data Into Information

Data editing is the application of checks to detect missing, invalid or inconsistent entries or to point to data records that are potentially in error. No matter what type of data you are working with, certain edits are performed at different stages or phases of data collection and processing.

Editing of data is done to ensure that the data are accurate, consistent with other data, uniformly entered and possibly complete. During the process of editing, it is also seen that Data have been well arranged to facilitate the further steps, i.e. coding and tabulation.

During the data processing step, the collected data is transformed into a form that is appropriate to manipulate and analyze. The process in which raw data is transformed into a standardized form suitable for machine processing and analysis is called coding.

The importance of data editing lies in the fact that it helps to maximize the usefulness of data, making it imperative to ensure that the data used is free of the errors arising during their collection or entry, and is coherent and consistent, since such characteristics have a favourable impact on the quality of the ...

Coding operation is usually done at this stage through which the categories of data are transformed into symbols that may be tabulated and counted. Editing is the procedure that improves the quality of the data for coding. With coding the stage is ready for tabulation.

Data editing is the process of "improving" collected survey data. The improvement involves finding erroneous data and then correcting it. Errors may have happened along the way from the respondent to the survey organization's data files for various reasons, intended or unintended.

Coding of data refers to the process of transforming collected information or observations to a set of meaningful, cohesive categories. It is a process of summarizing and re-presenting data in order to provide a systematic account of the recorded or observed phenomenon.