Data Visualization is a relatively new field and as such, it has a lot of maturing to do. And part of that process is determining what is acceptable practice. At Visual.ly, we’ve decided that it is important to have a visible code of ethics, because it establishes a standard of quality, helps us garner trust from clients, users and viewers, and gives our team a sense of confidence and pride in their work.
But how do you develop a visualization-specific code of ethics? In many ways, visualization is similar to journalism. In fact, many – if not most – large newspapers have created dedicated visualization departments, which produce some of the highest-quality data visualizations we see today. That’s hardly coincidental. Much like journalists, data visualization professionals have to collect data and information and then represent it to the public in the most truthful way possible.
Such similarities make codes... keep reading