As time went on, I continued to use graphs, but I confess I spent less time graphing the data in various ways then I did back then and more time experimenting with a suite of models. The result was that I lost some of the connection to the data that is the art and feel side of data science.
Lately I have been playing with RStudio's shiny app ( along with everyone else). The result has been that it brought back to me the importance of exploring your data graphically and introduced me to a lot of types of graphs that I had never seen or used. Many of these plots provide powerful insight into the structure and the nature of the data that I was working with that I do not believe I could have gotten any other way.
So I thought I might spend the next couple of weeks doing relative short blog posts on graph different types of data set with different types of graphs. I hope this simple review of one of the core elements of data science will be as helpful to you as it has been to me.