Golden Software Blog

Helping you learn more about the latest product information, tips, tricks, techniques, and customer stories so you can visualize data and communicate results with ease.
Mar
30

Graphing the Growing Season

Spring bulbs are beginning to bloom, and with each reminder that spring is on the way I think more about starting my vegetable garden. Every gardener knows that the question of when to plant is always a struggle.  Maximizing the growing season while minimizing plant loss due to surprise cold snaps and frosts is always a balancing act. Living at high elevations can make this even more difficult, so I decided to do some research and see if I could get a better picture of what my garden and I are up against. 


The first thing I needed to find was information about the temperature tolerances for vegetables.  I found a great table at the Colorado State University Extension that provided acceptable germination temperatures as well as information on how temperature-hardy the young plants are.  I created a floating bar chart in Grapher 12 to depict this information.

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Guest — Blakelee
Awesome article! It's nice seeing the variety of ways Grapher can be used.
Wednesday, 30 March 2016 15:27
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Mar
07

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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Mar
07

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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Sep
29

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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