An average research workday from the KaleidaGraph viewpoint
Below we are giving you a scenario that we think illustrates how we see KaleidaGraph and how we hope it will be viewed by the technical market.
Let’s examine an average research workday from the KaleidaGraph viewpoint: A scientific experiment is in progress and our researcher is trying to balance her lab hours with other responsibilities to educate and report. This program has the ability to make just about any type of technical graph and allow the user to analyze the data with very robust modeling tools. A serious program for scientists and engineers.The scientific instrumentation which records the experimental data is storing thousands of data points per hour in an Excel spreadsheet. There are new graduate students to assimilate into the lab and an important conference is rapidly approaching. This is the environment in which KaleidaGraph shines. The lab staff masters the basic functionality of KaleidaGraph in less than one hour using the Quick Start guide that walks users through the entering and importing of data, plot customization, applying curve fits and error bars, and exporting the plot. Most have not even cracked the documentation because, well, they are busy graduate students, and the use of KaleidaGraph is so intuitive.
An Excel spreadsheet opens directly from within KaleidaGraph, so that data is readily available in the data windows. But someone has sent some collateral data from a neighboring lab, so that text file is easily imported into the application as well. The appropriate 2D graph type is selected from the Gallery menu and the students proceed to manipulate any and all of the graph elements, as necessary, to meet the very exacting standards for the conference publication. Upon completion of the prototype graph, a template is saved so that succeeding runs of data can quickly be graphed in the same style. The students then analyze the relationship of the data using ANOVA, t-test or a nonparametric test and apply a custom curve fit to see the data trends.
Formula scripts now help to automate the process of importing data, creating plots, exporting, and printing. The experiment proceeds and KaleidaGraph handles the large data load with speed and accuracy. Now it’s time for final conference preparations. KaleidaGraph can link directly to PowerPoint, MS Word, and more, so posters and documentation area finished in a timely fashion. In a research world dominated by Microsoft Office, it’s reassuring to know the KaleidaGraph can competently fill its ‘scientific gap’, yet do so effortlessly day after day. It’s also nice to know that our professor and her staff have arrived at the conference prepared and un-frazzled.