So let’s look at data visualization. What’s that all about? You saw a bit of it in the last demo, but that’s all about the second technology. Humans have a keen ability to process visual information. If you see it, you get insights out of it, and visual analytic is the science of analytical reason facilitated by visual interfaces. It helps you derive insight from large amounts of data, to detect the unexpected, discover the expected, and discover the unexpected, and then communicate it because it’s a in a visual way which is easy to communicate.
And so let’s look at another example of ad hoc analysis. So I’m going to play the role of a financial analyst. I’ve got a portfolio of mutual funds, and my job is to find and categorize the dogs in my portfolio. I’ve got 10 minutes to do this job, and there is not pre-set hypothesis. I’m going to have again fish in the data. Let the data tell the story and share my findings, and the theme here is data tell stories.
So let’s pull up the PowerPoint again. I’m going to now start this exercise, and instead of a pre-built project, I’m starting from scratch. There is a set of steps. I need to connect to some data. Built some charts. So let’s load some data. I’m going to go find the data source. It could be a text file or excel. It could be a database, Oracle, SQL Server, or MySQL, etc.