Bob Amick is a Service Manager for a company that is a major supplier and producer of polypropylene fiber. He took a moment to discuss with us his use of STATISTICA in their processes.
I was invited to start writing a personal blog about my experiences with project management and STATISTICA. I have been an employee since 2005 and have worked on very diverse project types.
Some projects were two weeks. Some projects lasted almost 2 years. They were for StatSoft customers and for StatSoft internal use.
In 2009, I worked on a project to migrate the StatSoft Electronic Statistics Textbook (EST) from HTML pages into a Content Management System (CMS). In many ways this was a "StatSoft internal" project. We wanted an easier method to update pages and track changes.
Statistical tests examine a variety of relationships in data, but they share some common elements. Typically, statistical tests state a null and alternative hypothesis, calculate a test statistic, and report an associated p-value, and then the analyst makes a conclusion from the tests. This process is followed for simple tests as well as complex ones. Once you achieve a basic understanding of the process of statistical hypothesis testing, the concepts can be generalized to all tests.
Spiderman’s uncle says, “With great power comes great responsibility.” In STATISTICA, with great power comes structural requirements for the data. It may not be as epic, but it's just as true.
STATISTICA offers some easy-to-use tools for preparing data for analysis. The focus of this article is stacking and unstacking data.
If you haven’t figured it out by now, I’m kind of a nerd. I heard on the news the other day that home prices are falling once again, and my first thought was “I want to see that graphed!” rather than “Oh no, the economy is collapsing!”
I grabbed the Case Shiller Home Price index information and plotted it as a simple time series in a Line Plot. Easy. But paraphrasing the words that Tina Turner sang: “I never do nothin’ nice and easy.”