Like many of us I enjoy things that purport to tell me something about me, even if what they tell me does not seem right. I like fanciful things too. I take Facebook surveys – what color would I be if I was a color? I made that one up.
And I like data analysis and data visualization. Data visualization is the new way of saying that you make your data look like a picture – a chart, a graph, a map overlay, something. You visualize it. “Data” is (often) counts of something, by something – number of sales by product (the oblong widget, the square widget), month and year of the sale, area of the world. You can use metrics other than counts, such as averages. What is the average price of a pint of blueberries in Philadelphia, during July 2014? You get the idea.
A word cloud, also called a tag cloud, is a data visualization of all the words in a document or a web site. Wikipedia talks about this in some detail, and includes a formula – http://en.wikipedia.org/wiki/Tag_cloud. You do not do this manually; you use an application, a program that count up all the words, and displays the words differently, depending on how often they are used in your source. Words that are used more often are bigger and have more prominence on the page. You omit filler words such as “the”, “and”. The goal is to make a pretty picture that says something interesting about the document or web site.
I decided to use Wordle (http://www.wordle.net) to make a pretty picture of this blog. Wordle is free. You can put Worldle images on your site. Most importantly, the images it generates are attractive.
I could not find an easy way to grab all the words from this blog, so I carefully copied my blog posts into a document, eliminating administrative words such as “posted”, dates of the posts, and the words from the columns on the side of my posts. I wanted wordle to work on what the blog was about. I wanted to see what comes up. Will California still be important?
I generated my word cloud before the last two posts. My word cloud captures how my blog looks before July 19, 2014. I tried a variety of picture formats and took a screenshot of the one I liked.
Good news – California is still prominent in my word cloud! There it is, looking blue. You can also see that Wordle is not smart enough to figure out that some words are really one word, even if they look like two. I wrote about Palo Alto, where I lived, but Wordle breaks it up into two words, and distributes the words “Palo” and “Alto” on different parts of the picture.
Next, I wanted to see what my resume looked like, after it went through Wordle. I removed my name and address and let Wordle do its thing. Here it is.
From my readings, when you apply for a job, you are supposed to generate a word cloud of a job you like, and then a word cloud of your resume. Then you make the word cloud of your resume match the job as closely as possible. The idea is that your resume fits the job, and so people will want to interview you for the job. I do not know if this works, but I understand the reasoning. But here’s the thing – I am absurdly fond of my how my resume came out on Wordle. I can look at my resume and I see what I care about. I would not want to change it.
It’s all about me.