In our previous works, we have constructed fishery economics database systems. But, since data mining does not end with just databases, the next work for us would be providing efficient methods for further analyzing data from the databases by various techniques of data analysis. However although there are many data analysis applications, we noticed that they are very difficult to learn because of their eager pursuits for versatilities. The versatarities may be achieved by combining many functionalities from applications or independent libraries. So we propose a very simple language for data analysis named Analyze in which many methods of the data analysis applications or libraries are executed in a simple unified fashion.