What's your technical competency level?
If you're at a Mac and not scared of pulling up a Terminal window, Python with Matplotlib will give you excellent results: example gallery with code. Or any other way to install these packages is fine - this is the easiest route I know of. Say "mydata. Look at the gallery, pick what you need, look at the code, and modify away On lack of preview: shakes fist at Maecenas.
LoggerPro is a good option. It depends on what you need to graph. For simple boring things like scatterplots, the easiest thing to do might well be to generate them in excel and then edit the graphs away from excel's awful defaults.
Not mac-specific, but mac-compatible: R , SciLab , and Sage are freeware heavy-duty math programs, which all include graphing capabilities. Note that these programs will not necessarily give your data a "polished" look, but they will give your data a "I'm a serious scientist take me seriously" look, which can be important. R is rapidly becoming the standard tool for statistics these days, so it's probably worth learning, particularly if you're doing scientific work.
SciLab is more focused on matrix math and simulation, and Sage is more focused on symbolic manipulation algebra , so they're more niche programs. But since they all have different styles and way more power than you probably need, so it's mostly a matter of finding the one you're most comfortable with. I second the vote for R , although learning R will take some effort.
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GGPLOT2 it's a function in R can create highly customizable, professional-looking plots that are suitable for publication. See here for some examples. I find that Numbers produces much nicer-looking plots than Excel, and is free nowadays.
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I've also used gnuplot for years, and it's not all that difficult -- though it helps to be able to tweak the plot a bit in a vector graphics program. I've also played around with Plot2 , which is also free and isn't command-line based.
Turn equations into graphs
Really, truly, if you are going to be dealing with data at any point in the future, learn R. Its capabilities are stunning, and growing every day. I just spent an hour talking though a dataset with my officemate, and she did some awesome things with just a few lines of R that should have taken much longer than they did. Take a look at Prism's Graphpad -- it's pretty simple and quite intuitive if all you need are things like bar graphs, XY scatter plots, simple regressions, etc, and very easy to format because you can easily cut and paste as vector images into your presentation software or into Adobe Illustrator.
Bonus, a lot of academic institutions already have licenses, and there's also a free 30 day trial.
Graph on Mac | Graph
To install and run Origin or OriginPro on a Mac, you need use a virtualization software, as explained below. The Mac Viewer is a portable, standalone application that can be run without installation. OriginLab recommends running Origin from Boot Camp , if dual-booting is an option. For those who prefer to run Origin as an application on your Mac desktop without a reboot of the Mac OS, we suggest the following virtualization software:. OriginLab Corp.
Mac OS X Using the virtualization software, create a new virtual computer and install Windows on the virtual computer. Run the virtual computer on which Windows is installed.
When Windows is ready, install Origin. Is there a comparison table for hot keys from Mac keyboard? Why can't I use right button when runing virtualized Win 7 on Mac? What can I do if the virtual machine is slow on Mac? What license types are supported when run Origin on Mac?