Data Manipulation - How Important is It?


The knowledge and the skill of playing with data is a crucial skill in analysis. Such technique is being used in different situations like searching for trends or patterns or as preparatory stage for further analysis. The sorting of data can be done in a number of ways like chronological, numerical, complexity or alphabetical which is all forms of data manipulation.

Data manipulation is simply the process of rearranging, resorting and otherwise moving research data without fundamentally changing it. This is used both as a way to explore the data as analytic tool in its own right and as precursor to other activities. Among the vital aspects of manipulation technique compared to related techniques like transformation is the fact that the underlying data stays unchanged.

Reorganizing data can help in identifying the patterns that may otherwise not apparent. In reality, it is almost sure that a lot of patterns aren't visible at first glance.

Resorting however is the technique that is focused in changing the order of data. Normally, resorting is done on quantitative or numerical data but this can also be applied to text content. There are common types of sorting such as alphabetical, chronological, numerical and others that are less popular. So as an example, list of responses to survey question asking for product or service rating may be sorted according to the tone and the severity of review.

Sorting data can help in regards to isolating important individual values, least or most frequent, last or first, the lowest or highest and can also be a way of highlighting the shape of data. Rearranging is a type of activity that typically involves digital or physical repositioning of data element so by that, it can sit closer to each other. This may be done to juxtapose contrasting ideas to set a discussion or organized photo in narrative.

Most rearranging that is done is exploratory but the thing is, there are occasions that it will be more direct. In such cases, professionals in data manipulations CELIGO might try to introduce new configuration for the data such as rearranging furniture to better support activities. Some manipulation can be more purposeful than the other. Professionals might be seeking to categorized the collection of photos by grouping it into the same pile or drawing out common themes in user interview.

Even though data manipulation seems to be a simple technique, this can deliver the heart of very powerful methods in analytics and click here.