Visual Data Analysis Applied To Biotechnology: A Case Study In Volatile Fatty Acids

Abstract

Visual data analysis allows information to be communicated in a graphical, interactive and understandable way and is an area of research with wide application in various fields. The visualization of multidimensional data sets, correlations, patterns and trends are taking on an increasingly important role in research. With traditional techniques, partial views of the data are generated; therefore, making an effective visualization becomes an increasingly complex task. In this context, the general objective of the study is to use new technologies in the field of biotechnology by applying a visual data analysis tool to the case study on the production of Volatile Fatty Acids (VFA) from the sludge of a Wastewater Treatment Plant (WWTP). VFA production was analyzed as a function of time, organic load, sludge type, pH, and temperature.