Data visualization is becoming less of a tech company rarity and more a part of everyone’s everyday life.
This is an article summary about how data visualization has gone mainstream or something that is now considered to be conventional or normal. This article helps us see both the positive and negative effects of this realization. If you are interested in learning about the full article click here: It’s Official: Data Visualization has gone maintream
“When Donald Trump was elected, he framed and hung in the White House a map of the United States that implied he was elected by an enormous landslide. But as every frustrated data visualization expert pointed out, this map neglected to indicate that more people didn’t vote for Trump than did.”
See below for a side by side comparison between the US’s first data-science president, Thomas Jefferson, and our current president Donald Trump. Additionally, click on the tab
Trump’s Visual Tweet
On the left, we see Donald Trump tweeting an image of the United States divided into red and blue. On the right, we see how Thomas Jefferson charted the crops the slaves of his plantation planted every year. Link to Article
In September 2019, Donald Trump presented false information about the range of Hurricane Dorian. This is another example of data visualization going awry.
Hurrican Dorian Flub
“Giorgia Lupi, who has throughout her career eschewed this entire line of reasoning to forge a path that touches on traditional data visualization, data art, design, and data humanism.” Check out her website here
Meet Giorgia Lupi, an informational fashion designer who has taken her designs to a new narrative level.
Check out Lupi’s collection: Mae Jemison The Astronaut. This collection was inspired by the data collected by the first black, female astronaut.
library(ggplot2)
car2<-ggplot(mtcars, aes(x=mtcars$mpg)) + geom_histogram(binwidth = 5)
car2