A data analysis report can help interpret the raw data gathered during a research project or business project. It focuses on how the data is connected to and validates a hypothesis. It also aims to aid decision-making and guide conclusions.
Data analysis encompasses two broad types of approaches – descriptive analytics and inferential analysis. Descriptive analytics look at what’s happened over the time frame. For instance the number of views and sales for a particular product. Diagnostic analytics however look at the reasons for the reason for what occurred. This typically involves a range of data inputs, and some theories (e.g. how did the weather affect sales of beer?).
You must “scrub” the raw data before you can begin to analyze it. This involves removing duplicate data, and www.buyinformationapp.com ensuring all observations are complete and precise. It also includes standardizing formats and identifying any potential mistakes.
The next step is to transform the data into a clear visual format. You can accomplish this by using data mining or visualization software. In this case it is important to consider your audience. You may want to make a glossary or explain your method if your readers don’t know the terminology.