De dados à  informação: visualizar dimensões do bem-estar humano

Abstract

Data visualization is the mapping and representation of data into graphs by manipulating visual variables-height, width, frequency, color, position of the graphical form-to inform and communicate an underlying information. This research studies how information, visualization, and dissemination of human well-being data e statistics can raise awareness among civil society and public managers to promote improvements in quality of life and public policies. Well-being is a multidimensional concept that involves all dimensions of life-social gap, stress, beginning of life, social exclusion, poverty, mobility. There are many methods to measure human well-being, can be analyzed as objective well-being and subjective well-being. Thus, in this research human well-being is studied: origin, meaning, definitions and descriptions; In the same way, the instruments used in its measurement. An inventory of indicators is created from the indexing and analysis of reports of national e international organizations. The applied research consists in the creation of a visualization system based on data model-with indicators of well-being applied to the São Paulo city-grounded from the UN Sustainable Development Goals. Data are collected from government institutions using the proposed framework to create an internet platform <usp.br/mappingwellbeing/visualize>.