River Flow Data Analysis

Abstract: The purpose of this report is to analyze the river flow data of the Severn River in 2000 and 2001. Data reading is done from Bewdley Station 54001 within 10 months of each year. To make it easier to see trends and relationships, data is analyzed in graphical form and statistical form. The result is displayed as data which is a table format of raw data. It is created to show different kinds of data and how they are displayed.

Structured analysis examines the system from the perspective of data passing through the system. The function of the system is described by the process of converting the data stream. Structured analysis makes use of analysis of hidden information by continuous decomposition (or top down). This gives attention to the relevant details and avoids confusing display of irrelevant details. As the level of detail goes up, the width of the information will also become narrower. The result of structured analysis is a series of related graphs, process descriptions, and data definitions. They describe the transformations that need to be made and the data needed to satisfy the functional requirements of the system.

Structural analysis spread in the 1980s and is still in use today. Structured analysis interprets the concept of the system (or actual situation) as data and controls the term represented by the data flow graph. Tracking the flow of data and control from bubbles to data storage, bubbles is difficult and the number of bubbles can increase. One way is to first define events from the outside world, ask them to respond to the system, then assign bubbles to that event. Then connect the bubbles you need to interact until the system is defined. Bubbles are usually organized into higher level bubbles to reduce complexity. Data dictionaries are required to describe data and command streams and process specifications are necessary to obtain transaction / transition information.