There are a lot of words to describe visualization and visualization-related things. It can be confusing. You just came across this thing with data and stuff, but what do you call it? Here I define what all those words mean. Keep in mind, I’m not so, uh, good with words and, uh, stuff, so yeah.
Disclaimer: This is how I perceive the words. They are not official dictionary or academic definitions. Don’t use these in your next report or paper, unless you want to be laughed at.
data visualization — Graph-like image or interactive, usually tied with data exploration and analysis.
visualization — Similar to data visualization and often is, but can also be the later described information visualization.
viz — A shorter version of visualization in both length of word and thoughtfulness in design and data.
vizzes — Plural of viz and evokes an image of urinals.
information visualization — Usually encapsulates what data visualization is about, but usually makes an effort to provide “actionable insights.”
InfoVis — An annual conference that most visualization researchers go to.
infovis — Research of information visualization that people talk about at InfoVis
infoviz — Often a crappier version of infovis and closer to what will follow shortly. However, it could just be an indicator of the person using the word, and the work might be good.
information graphic — Serious work from journalist-type folks who provide a narrative with data.
infographic — A toss-up between information graphic and [INFOGRAPHIC], but usually the latter and often unnecessarily big.
[INFOGRAPHIC] — A gigantic graphic with lots of graphs, numbers, icons, and fancy-ish typefaces. Often used in blog post title. Always useless.
infograph — No idea who started using this term, but it’s dumb. Stop it.
chart — Typically looks very statistical and close to a table.
data chart — Even closer to a table of numbers. And kind of redundant.
graph — It’s like a chart, but it sounds more visual, because it’s the root of “graphic.”
data graphic — It’s an ambiguous term I like to use that doesn’t upset people who like to argue what visualization is and what it’s for, but clear enough that most people know what it is. Also implies that data comes first and is the driving force behind the graphic.
Did I miss anything?