Statistical data is essential in all aspects of the world today and data mining has become a thing. From this, we have been able to learn more about data science and big data. All these collections of data have to be analyzed and synthesized in a way that makes more sense to its users. This is where data analysts and data analysis tools come into play. Well, before this you must also understand the different types of data analysis and what they mean. Here are the 5 most common types of data analysis.

Descriptive Analysis

Descriptive analysis seeks to answer the question WHAT? WHERE? WHO? and WHEN? by describing what happened. However, it can never be used to answer the question WHY? It can be used to show characteristics, frequencies, trends and also help categorize data.

Diagnostic Analysis

Diagnostic analysis on the other hand seeks to answer the question WHY? The question WHY? is very essential when dealing with any set of data. You need to understand the mind or the logic behind what was done and understand why it was done. Academic projects and dissertation papers tend to incorporate this very much in the curriculum. A data analysis paper is no simple feat but you can always get an expert on board. Do you need help with data analysis for dissertation? Well, worry no more as you can now get quality, affordable and professionally done papers on time that will assure you a place at the top of the board.

Prescriptive Analysis

Any outcome expected or presented is as a result of a combination of factors. However, when these factors change or some are added, it affects the results partially or completely. This is where prescriptive analysis come into play to help understand recommended action to affect outcomes in a certain way.

Inferential Analysis

Inferential analysis tends to work closely with predictive analysis as it takes a randomly generated sample and from that, gives a generalized conclusion on the whole population.

Predictive Analysis

As the name suggests, predictive analysis is data analysis that seeks to predict what will happen in the future. In order to determine what will happen in the future, you will have to a clear view of the past and the present and understand all the variables that could make a difference in future results. This will call for a type of analysis that is designed to answer these.

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