Data sorting can be performed on which type of data field?
Answers
Sorting is the process of arranging data into meaningful order so that you can analyze it more effectively. ... sort text data into alphabetical order. sort numeric data into numerical order. group sort data to many levels, for example, you can sort on City within Month within Year.
Answer:
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Explanation:
Data sorting is any process that involves arranging the data into some meaningful order to make it easier to understand, analyze or visualize. When working with research data, sorting is a common method used for visualizing data in a form that makes it easier to comprehend the story the data is telling. Sorting can be done with raw data (across all records) or at an aggregated level (in a table, chart, or some other aggregated or summarized output).
Data is typically sorted based on actual values, counts or percentages, in either ascending or descending order, but can also be sorted based on the variable value labels. Value labels are metadata found in some programs which allow the researcher to store labels for each value option of a categorical question. Most software applications also allow sorting by multiple variables. This type of sorting will be executed in a predetermined variable priority, for example, a data set containing region and country fields can first be sorted by region as the primary sort and then by country. The county sort will be applied within each sorted region.
A Simple Example
To illustrate a basic sorting operation, consider the table below which has two columns, Country and Population. The Country column is a text field (or label), whereas the Population column contains numeric data. The table on the left shows the original data which is not sorted in any particular order. The table on the right has been sorted by Population in descending order. In other words, the country with the highest population is sorted to the first row, followed by the country with the second-highest population, and so forth.
data sorting example
This allows the reader to easily understand the order of the countries, without needing to compare all of the numbers in the table.
Standard Applications
There are a handful of standard sorting applications when working with any kind of data. One such application is data cleaning which is the process of sorting data to look for abnormalities in a data pattern. For example, monthly sales data can be sorted by month to look for variances in sales volume.
Another common use of sorting is for ranking or prioritizing records. In this situation, data is sorted by some rank, calculated score or other prioritizing value (for example, highest volume accounts or heavy usage customers).
Properly sorting visualizations (tables, charts, etc.) is also extremely important to allow for proper data interpretation. For example, in market research, it is common to sort the results of a single response question by column percentage, i.e. most answered to least answered in descending order as illustrated in the following brand preference question.
However, it wouldn’t make much sense to sort scale questions in the same manner. In these cases, it is better to sort based on the question scale as this makes the data interpretation task much easier.
Data sorting standard applications
Incorrect sorting can often lead to misinterpretation. It is advisable to always ensure the most logical sorts are applied to all visualizations.