Well, it seems as though this is my final post for the blogging section of the class. I will admit that I have fallen behind slightly with my blog entries but it all comes down to priorities. There is a lot going on in my life right now and I just do not have time for blog posts. Which brings me to the main point regarding what I have deduced on blogs; they are great if you have the time. And not just time once a week. In order for blogs to serve their purpose, they need to be updated constantly. I do not think that I have have the “consistency” required to maintain a blog. However, I am also not a huge user of Facebook and Twitter. I am not against social media as I once might have been, nor am I a conspiracy theorist that believes that such sites are only avenues for governmental tracking (not entirely ludicrous, I will admit). No, the reason I do not, and more than likely will not, become famous through my blog prose is that i don’t have the time. Or if I do, I spend it on something other than blogging.
What I want to talk about today is the addiction that comes with data mining. A while back, Bloomberg reporter Michael Forsythe, co-writer of an excellent piece covering growing Chinese local government debt, spoke to our class and you could sense his passion for data mining. I thought that he was nuts; spending hours poring over miniscule data entries. Then I tried doing some mining of my own.
For another class, we were told to try out some data visualization software programs and our group chose Tableau. I will not get into the pros and cons of Tableau because this is about the process and not the end result. I looked into Major League Baseball teams in the US, as data was readily available online. Payroll, home attendance, population of metro area, GDP of metro area, total wins, cost per win, franchise worth, franchise revenue, and the list went on. I started out just finding payroll info and dividing it by how many wins the team had to find how much each win cost the team. However, the more I looked, the more data I found and was interested in.
To make a long story short, if the topic you are researching comes from you ad not your editor, it generally means that it is something that you are interested in. Once that is the case, I have learned that the search ca be highly addictive. And that it is better to be the New York Yankees than the Kansas City Royals or the Cleveland Indians.