Have you ever wondered why data visualization matters? Do you prefer to look simply at numbers in a spreadsheet, or would you rather seen an image of that data?
Many people learn better visually. We all have to crawl through a great deal of data each and every day as well as process the meaning of all of this information. So, why bother with data visualization at all?
To understand that, it helps to understand the principles we strive for in data journalism. At The New York Times, we strongly believe that visualization is reporting, with many of the same elements that would make a traditional story effective: a narrative that pares away extraneous information to find a story in the data; context to help the reader understand the basics of the subject; interviewing the data to find its flaws and be sure of our conclusions. Prettiness is a bonus; if it obliterates the ability to read the story of the visualization, it’s not worth adding some wild new visualization style or strange interface. (From: http://www.niemanlab.org/2011/10/word-clouds-considered-harmful/.)
What do you think are the key concepts for a clear visualization of data? What do you consider a bad info graphic? Do you have a favorite infographic? (This could be a favorite because it is excellent, or a favorite because it is so awesomely bad.)