A report on data analysis is a crucial document that helps to make sense of raw information collected in a research or business project. It focuses on how the data is a support and connection to the hypothesis. It also aims to aid decision-making and guide conclusions.

Data analysis can be divided into two broad categories, descriptive analytics and inferential analysis. Descriptive analytics focus on what has happened over a period of time, like the number of views or sales for a particular product. Diagnostic analytics, however, focuses on the reasons behind what happened. This usually involves a variety of data inputs, as well as some hypotheses (e.g. how did the weather affect beer sales).

Before you begin data analysis, you need to cleanse the raw data and “scrub” it. This includes removing duplicate observations and ensuring that all observations are complete and precise. It could also involve standardizing formats and identifying possible mistakes.

The next step is to transform the data into a clear try here visual format. You can accomplish this by using data mining or data visualization software. At this point, it is also important to consider your audience. You may need to create a glossary of terms or explain your method in case your readers are unfamiliar with the terminology.