A data analysis report is a way to make sense of the raw data gathered during the course Clicking Here of a business or research project. It is a thorough examination of how that information relates to and validates a hypothesis. It also aims to assist in making decisions and provide conclusions.
Data analysis can be classified into two broad categories namely descriptive analytics, and inferential analysis. Descriptive analytics are concerned with the events that have occurred over the past. For instance the number of views and sales for an item. Diagnostic analytics, on the other hand look at the reasons for the reasons behind what has occurred. This typically involves a range of data inputs, in addition to some hypotheses (e.g. how did the weather affect beer sales).
You must “scrub” the raw data before you can begin to analyze it. This includes removing duplicate observations, and ensuring all observations are accurate and precise. It may also involve standardizing formats and identifying any potential mistakes.
The next step is converting the data into a graphical format that is easy to understand. You can accomplish this by using data mining or visualization software. In this case it is also crucial to think about the audience. You might need to develop a glossary of terms or explain your method in case your readers are unfamiliar with the terms.