Data visualization in the media: Interesting video

A colleague who knows my fascination with data visualization pointed me to a recent interesting video created by Geoff McGhee on Journalism in the Age of Data. In this 8-part video, he interviews media people who create visualizations for their websites at the New York Times, Washington Post, CNBC, and more. It is interesting to see their view of why interactive visualization might be useful to their audience, and how it is linked to “good journalism”. Also interviewed are a few visualization interface developers (e.g., IBM’s Many Eyes designers) as well as Infographics experts and participants at the major Inforgraphics … Continue reading Data visualization in the media: Interesting video

NYT to mine their own data

You might ask yourself how on earth I have time for an entry during the last day of classes. Well, I don’t. That’s why I am doing it. The New York Times recently announced to their stockholders that they are going to be revolutionary by mining their own data. As quoted from the village voice, Data mining, [The company CEO Janet Robinson] told the crowd, would be used “to determine hidden patterns of uses to our website.” This was just one of the many futuristic projects in the works by the newspapers company’s research and development program The article focuses … Continue reading NYT to mine their own data

Visualizing hierarchical data

Today much data is gathered from the web. Data from websites often tend to be hierarchical in nature: For example, on Amazon we have categories (music, books, etc.), then within a category there are sub-categories (e.g, within Books: Business & Technology, Childrens’ books, etc.), and sometimes there are ever additional layers. Other examples are eBay, epinions, and almost any e-tailor. Even travel sites usually include some level of hierarchy. The standard plots and graphs such as bar charts, histograms, boxplots might be useful for visualizing a particular level of hierarchy, but not the “big picture”. The method of trellising is … Continue reading Visualizing hierarchical data