How were graphs created in the 19th century?
The first talk in the F5 series began with that premise and explored current approaches to data visualization. In addition to learning how to represent data, it is essential to know how to visualize it—and, therefore, how to interpret it.
The presentation by Pablo H. Paladino—a software developer at Datawheel—was titled “Data Visualization: Stories, Myths, and Legends” and took place on June 17, 2020, via Zoom. During his presentation, he reviewed the first example of data journalism, by John Snow, who surveyed cases of cholera in England andplotted them on a map.
From 1900 to the present day, what has changed is the medium, but not the way we think about graphics or the way we present information.
Some myths to debunk
- Unbiased data exists
"Bad news," says Paladino: "The source of the data, how it was collected, who is interviewed—all of that already introduces bias; it is up to us to commit to the truth, acknowledge those biases, and try to avoid them, so that we can move forward as objectively as possible."
- The more data, the better
It is always necessary to filter the collected data, and this should be reflected in the visualization. Similarly, all the information obtained should be displayed, avoiding the omission of “what does not suit our purposes.”
- Averages always represent
They serve to summarize, but they don't always accurately reflect the reality of what they're meant to show.
- If there is geographic data, you should create a map
When deciding whether or not to use a map, the level of detail is an important factor to consider. In the case of maps, smaller countries may not be clearly visible even if the variable being displayed is significant.
- To view data, you need a programmer
"We need them less and less," he says. "There are many services we can use, and it will also depend on our perspective on the issue."
It’s important to verify information with experts—preferably within your own team.
This is essential for understanding how to interpret the data and maintaining credibility.
Pablo H. Paladino holds a bachelor's degree in Systems Analysis and works as a software developer at Datawheel. He specializes in front-end development focused on data visualization, is an advocate for the open data movement, and collaborates with teams that build data-driven solutions and interactive features for media organizations and government agencies.