A report on data analysis is an important document that helps to make sense of the raw data collected during a research or business project. It analyzes how the information can be used to support and reinforce a hypothesis. It also aims at forming conclusions and assist in making decisions.
Data analysis consists of two broad types of approaches – descriptive analytics and inferential analysis. Descriptive analytics look at the events that have occurred over a given period of time. For http://buyinformationapp.com/swann-tracker-security-camera-review-is-it-worth-your-attention/ example the number of views or sales of the particular product. Diagnostic analytics however examine the reason the reasons for why something occurred. This usually involves a variety of data inputs, in addition to some hypotheses (e.g. how did the weather affect beer sales).
Before you begin data analysis, you need to cleanse the raw data, or “scrub” it. This involves removing duplicate observations, and ensuring all observations are complete and precise. This can also include standardizing formats, and identifying potential errors.
The next step is to transform the data into a comprehensible visual format. This can be accomplished by using data mining software or visualization tools. It is crucial to think about your audience at this point, in addition. You may need to create a glossary of terms or describe your approach if your readers aren’t familiar with the terminology.