The Process of Statistical Data Analysis

Posted by Statistical Dataanalysis on June 18th, 2019

Statistical data analysis is an important part of any business or company. As a Albert University student, you should learn the process and importance of qualitative data analysis for your career. Statistical data is data that does not have numeric characteristics. For instance, an interview, a video, audio, or image, are examples of qualitative data. Statistical data analysis involves several processes that include collection and connection of several data forms in order to make sense of them. They help provide a certain insight or explanation regarding a business or certain topic. Click to explore the different processes that help bring the random data to a single explanation that would help in decision-making. Try this article to learn the steps that you have to follow in order to handle statistical data analysis successfully.

Creating and Applying Codes

Codes are simple words or phrases that you can use in order to categorize different classes of information or qualitative data. Considering that you would not have the advantage of numeric characteristics, you would have to classify the data using these codes. You can handle coding either manually or using software that helps make the work easier. When handling the codes manually, a few folders would help make the process successful. No format or guidelines determine your code requirements. When using codes, you can use a behavior, event or any other quality as your code.

Creating Patterns and Relationships

The data you have might be random and not easy to categorize to a single class. However, you can make use of your skills in order to create the right patterns and connect the information in a manner that is easy to relate. In most cases, different studies using the same information yield different results. You can prove, however, your findings even when the results are different. Finding similar phrases or words in the data would be an easy way to create a pattern and connect the different types of data.

Summarizing the data

This is the last stage of the data analysis. You have to ensure that you take time to connect your findings to a certain hypothesis. This step allows you to use the data as proof of a certain topic. Your thoughts on a certain topic would find the necessary support from the data you analyze.
Look here to find the difference between qualitative and quantitative data analysis. www.statisticaldataanalysis.net/exploratory-and-confirmatory-data-analysis