It simply reads XML data from flickr API, and searchs all the tag elements in the XML. Since data is too broad, it only searches first day of each month from January to September of 2009.
Then, it stores all the tags into array, and compares all the tags. As a result, it displays tags that are taged more than 20 times with bar graph. Bar graph’s height represent the number
that how many times each tag has been taged. Random color has been assigned to each tag to distinct from one to another, and for better legibility of each tag.
I might used different way to visualize it rather than using a bar graph, but I found this is the one of the simply ways to represent this kind of data.
In the end, viewer can notice which has been popular for last few month, and it shapes some kinds of DNA map in the end. I guess it characterizes not only flickr service, but also
people’s interest toward photography in general.