A report on data analysis is a crucial document that aids in the understanding of the raw data collected in a research or business project. It focuses on the way that this information is related to and supports a particular hypothesis. It also aims to inform conclusions and aid in decision-making.
Data analysis can be divided into two broad categories namely descriptive analytics and inferential analysis. Descriptive analytics concentrate on the events that have occurred over a period of time, like the number of views or sales for a particular product. Diagnostic analytics however, look at the reasons behind what has happened. This usually involves more diverse data sources and some speculation (e.g. what was the impact of the weather affect sales of beer?).
Before you begin the analysis of data, you must tidy up the raw data or “scrub” it. This involves removing duplicate observations, and ensuring the observations are complete and precise. It also includes standardizing formats and identifying possible mistakes.
The next step is converting the data into a visual format that is easy to comprehend. This can be accomplished by using data mining software or visualization tools. It is important to consider your audience at this point and also. You may want to make an explanation of the terms or glossary to explain your strategy if your readers don’t understand the terminology.