To create visualizations for studying or conveying the meaning of data, users can usually choose between two options: 1) generating standard diagrams with low effort such as bar charts or scatter plots or 2) constructing individual, interactive, domain-specific visualizations at great expense.
This report presents the concepts and implementation of Flower, an approach to simplify the process of creating individual and interactive visualizations. Flower supports users users carrying out the following activities directly and interactively: (i) import and transformation of data, (ii) creation of visual mappings,and (iii) provisioning of interactivity.