"A model links to the viewers’ engagement with the visualization. Can the viewers identify the purpose and create a relationship in their mind between the nascent message of your visualization and their knowledge and work practices? When sketching out the design and considering the data, what is the first intention of the design? How will viewers interpret the goal of the visualization?" (Gerald Benoît,"Introduction to Information Visualization: Transforming Data into Meaningful Information", 2019)
"A well-designed 'information visualization' is interactive, allowing viewers to converse with the data: gaining knowledge, exposing insights, and engaging with the data in unexpected ways. It is only through these conversations that the otherwise static display of data transforms into meaningful information." (Gerald Benoît,"Introduction to Information Visualization: Transforming Data into Meaningful Information", 2019)
"Before progressing to analysis and visualization of the data, examine the data for inconsistencies and missing values. Data that fall outside an expected range, values that are missing or null, or have a different encoding or data type need to be addressed." (Gerald Benoît,"Introduction to Information Visualization: Transforming Data into Meaningful Information", 2019)
"Contemporary information specialists should at least be conversant in the pros/cons, benefits and liabilities, tech and data requirements of each software product they might use." (Gerald Benoît,"Introduction to Information Visualization: Transforming Data into Meaningful Information", 2019)
"Experience shows that both neophyte designers of visualizations and commercial visualization applications often overlook the role that type plays in legibility, aesthetics, and meaning construction. Yet the most successful visualizations are those where the details of data, design, and aesthetics are in harmony, and the interactivity allows the end user to understand the explanation and to explore." (Gerald Benoît,"Introduction to Information Visualization: Transforming Data into Meaningful Information", 2019)
"For an information visualization specialist, we must weigh the impact of the purely visual aspects of our designs as well applying visual norms that facilitate interpretation. Finally, we integrate data as the foundation of the visualization - all in a way where each coheres—that is, each contributes the same message to the viewer albeit in different languages (textual, data, interactive, and visual). It’s not useful nor possible to study themes of the aesthetic, technical, and applications of visuals independently of the others." (Gerald Benoît,"Introduction to Information Visualization: Transforming Data into Meaningful Information", 2019)
"Information visualization displays meet the definition of an art form in that there is an intended message to be communicated, and the principles of graphic design are applied as they are in other information graphics. Unlike other forms of representational art, InfoVis is a representational art of 'information' as an abstract phenomenon, with the goal of engaging the viewer with forms of interactivity that are not possible with a painting." (Gerald Benoît,"Introduction to Information Visualization: Transforming Data into Meaningful Information", 2019)
"Knowing what graphic representation to apply is partially a function of the data themselves and partially from the designer’s understanding of the target audience viewing the graphic. The Internet and publications have many recommended charting types." (Gerald Benoît,"Introduction to Information Visualization: Transforming Data into Meaningful Information", 2019)
"The problem-solving approach favored in the big data/data science realm is datacentric. This is likely because of the similarities between traditional data- and text-mining activities that incorporate visualizing results for exploration and explanation. This field contributes to receptiveness by institutions and the public to very large datasets and the computational infrastructure that provides the data. For data scientists, however, the ultimate interest is using visuals to help chart the data, as opposed to interacting with them. The emphasis is on large datasets and machine learning." (Gerald Benoît,"Introduction to Information Visualization: Transforming Data into Meaningful Information", 2019)
"The rule of thirds applies to fonts, too. The use of fonts is more subtle than one might imagine at first glance. The extreme subtlety of detail when designing fonts contributes to an equally subtle affective impact on a design. The choice of fonts also contributes more evidently to legibility. To a graphic designer, the choice of font contributes to the overall design, addressing more than legibility because the design is tempered with sensitivity to the limitations of the output device (monitor), size of the font, and the overall aesthetic tone." (Gerald Benoît,"Introduction to Information Visualization: Transforming Data into Meaningful Information", 2019)
" [...] the rule of three applies to the choice of typography, too. In design practice, there is usually a heading font, body text, and then a font for details. [...] Even though two of the roles (title and body) are the same font name, one is bold and the other is regular. This equates to two fonts. It is common, too, to use a serif font for a title and then a sans serif for the other two (or vice versa). Learning which fonts to use comes only from practice and studying examples." (Gerald Benoît,"Introduction to Information Visualization: Transforming Data into Meaningful Information", 2019)
"When teaching design composition for posters and for websites, there are some introductory rules [...]. One is the 'rule of thirds'. This equates to (no more than) three colors in the design, three typefaces, and three display areas in a design composition [...]" (Gerald Benoît,"Introduction to Information Visualization: Transforming Data into Meaningful Information", 2019)
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