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Grapher 12: A Look at March Madness 2016!

March brings one of most highly anticipated US sporting events of the year, the NCAA Division I Men’s Basketball Tournament, commonly referred to as March Madness! The term was coined in 1939 by H.V. Porter, but didn’t gain widespread popularity until the early 1980s. This year’s single-elimination tournament began with 68 teams on March 15, and we’re now down to the Sweet Sixteen! Let’s take a closer look at some tournament stats with graphs created in Grapher 12!

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Visualizing Iowa Caucus Results Using Grapher 12

With 2016 being a presidential election year, it’s hard not to be at least tangentially aware of what’s going on with United States politics. I’ve voted in every presidential election (and most local elections) that I have been able to vote in, but I’ve never considered myself a particularly political person. Now that I have children, that has changed a little. You’ll still never see me at a party convention, and you won’t catch me watching debates on TV, but I’m very concerned over how this country will be run, so I will definitely do my homework before casting my vote in November.

On Tuesday March 1st, Colorado held its Republican and Democratic caucuses. From what I could see as I drove past the venue for one of these, the turnout was pretty good. Although the results are not in yet for the Republican caucus, the Democratic caucus resulted in a win for Bernie Sanders. This wasn’t the first state to hold a caucus though. The Iowa caucus, at the beginning of February, is the first caucus each election year. With more time since the numbers came in, there has been more chance to break apart the votes into categories like sex, age, and education level. I know that one caucus isn’t any indicator of how the party nominations or the election will turn out, but I still think it’s interesting to look at the numbers since this is the first chance voters have to pick a candidate. Thus, without further adieu, here are the Iowa caucus results broken out by sex, age, and education level.

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Beta Tester Feedback on the Latest Release of Our 2D & 3D Graphing Program – Grapher™ 12

Beta Tester Feedback on the Latest Release of Our 2D & 3D Graphing Program – Grapher™ 12

Prior to any release, our software undergoes a rigorous 6 week external testing period. This testing period, referred to as Beta Testing, gives a select group of Grapher customers an opportunity to provide their input on the new features and to test the functionality in their everyday use of the product. These individuals are extremely important to the final release as their input and testing ensures we have a stable and upgrade-worthy product.

During the Grapher 12 Beta Testing period, 20 individuals completed the testing period. Below are their comments on the newest set of Grapher features.

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Our Powerful and Accurate 2D and 3D Graphing Program is Even Better – Introducing Grapher™ version 12

Our Powerful and Accurate 2D and 3D Graphing Program is Even Better – Introducing Grapher™ version 12

We are excited to announce the release of Grapher 12. Introduced in 1986, Grapher is a leading competitor in graphing software. Designed for scientists, engineers, and business professionals, Grapher converts data from a variety of file formats into more than 70 fully customizable graph types. Practically every component of Grapher’s plot is customizable allowing anyone to quickly and easily create publication-quality graphs.

“Grapher really is one of the easiest graphing programs to use,” says Grapher Product Manager, Sabrina Pearson. “Every aspect of the graph can be customized, and you can quickly make changes so your graph meets your expectations.”

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Verifying Reported Statistics with Grapher

I recently read about the decreasing gender wage gap for newly graduated college students in an article on the Liberty Street Economics, the blog of the Federal Reserve Bank of New York. In the article, there is a statement that “among recent college graduates, men earn about 3 percent more than women overall” but that the gap “widens significantly as workers approach mid-career”. The article summarizes this mid-career group of individuals, where they find that “men earn about 15 percent more than women.” Being the inquisitive person that I am, I wondered how these statements could be made – what evidence was there supporting these statements? I could have taken the table on their blog and calculated a quick mathematical average using a spreadsheet program. But, the table only included a sub-section of the full data being used and the data was already in statistical summaries instead of original polling numbers. I decided to find some raw data and create some graphs that would allow me to perform some analysis myself.

Much data is available for download and analysis from the US Census Bureau. This data can be downloaded and edited. It can then be used for graphing or mapping in many Golden Software programs. The data can also be used for analysis, such as creating statistics, comparing values, or providing supporting evidence for other statistics. In this case, I thought some simple bar charts for various populations would help support or overthrow the claims of the decreasing gender wage gap in young workers.

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