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Valentine Ignatov
Valentine Ignatov

Plotting Graphing Programs For Mac ((INSTALL))



It is important to choose a suitable graph format and represent your data in the clearest way possible. There are countless ways of representing data sets and the nature of your graph, and choice of graphing software, will be dependent on your field of research. Depending on your data, you may wish to produce a scatter plot, bar graph, piechart or multivariable 3-dimensional plot. The type of graphical software that you settle on will be dependent on the output that you wish to generate.




Plotting graphing Programs For Mac



Below are a few OSX scientific graphical packages with some comments and links (hover over the image to find out more). If you use an alternative Mac based graphing program, please feel free to add to the list (with any insights) in the comments section below.


Microsoft office is still considered the mainstay office program and thus many people have access to Excel for graphing purposes. While excel is excellent for handling simple data sets, conducting routine calculations and plotting data during a research project it has a lack of graph types, formatting and output options. Generally, researchers use this alongside a scientific graphing program.


Powerful 2D plotting software. Interface allows a high degree of graph customisation and formatting with realtime updating. The software includes curve fitting and regression functions. Clean graphical output in multiple format types.


Considered by many in the biomedical field to be the 'gold standard' graphing program. Originally designed for experimental biologists, Prism can produce a number of 2D graphs and has a statistical analysis and regression functions built in. Prism graphs have a distinct look and can be exported in a number of formats suitable for publication.


2D scientific graphing software. Many plot types and output options. Fine control over presentation and extensive curve fitting functions. Formulas are available in the data sheet and standard templates can be constructed.


Ultimately, you may need to settle on more than one package. Many labs use multiple programs depending upon their project requirements. For Apple Mac users, there are a multitude of scientific graphing programs available with a wide range of features and pricing ranges. For ECRs in academia, many packages offer academic discounts and free trials! Finally, remember, that the cost of these packages will always be less than the cost of 'your time' and the cost of 'your research'!


Veusz is a scientific plotting and graphing program with a graphical user interface, designed to produce publication-ready 2D and 3D plots. In addition it can be used as a module in Python for plotting. Veusz is multiplatform, running on Windows, Linux/Unix and macOS. It supports vector and bitmap output, including PDF, Postscript, SVG and EMF. Veusz is Free Software.


With the help of a tutorial the program can be used by the novice user and is flexible for advanced work. In Veusz plots are created by building up plotting widgets with a consistent object-based interface, where the user sets the properties of the widgets. There are many options for customization of plots. See features, 2D examples and 3D examples to see what can be done with the program.


Plotting scientific graphs is essential for all researchers who want to present their findings in a meaningful way. Many free software tools for data analysis and scientific graph drawing are available in the market. To find the best software, ilovephd presents the 5 best graph plotting and data analysis tools for thesis and research article writing in this article.if(typeof ez_ad_units!='undefined')ez_ad_units.push([[300,250],'ilovephd_com-box-4','ezslot_1',173,'0','0']);__ez_fad_position('div-gpt-ad-ilovephd_com-box-4-0');


SciDAVis is a free interactive application aimed at data analysis and publication-quality plotting. It combines a shallow learning curve and an intuitive, easy-to-use graphical user interface with powerful features such as scriptability and extensibility. SciDAVis runs on GNU/Linux, Windows and MacOS X; possibly also on other platforms like *BSD, although this is untested.


Plotly's Python graphing library makes interactive, publication-quality graphs. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts. Plotly.py is free and open source and you can view the source, report issues or contribute on GitHub.


Gnuplot is a portable command-line driven graphing utility for Linux, OS/2, MS Windows, OSX, VMS, and many other platforms.The source code is copyrighted but freely distributed (i.e., you don't have to pay for it).It was originally created to allow scientists and studentsto visualize mathematical functions and data interactively, but has grown to support many non-interactive uses such as web scripting.It is also used as a plotting engine by third-party applications like Octave.Gnuplot has been supported and under active development since 1986.


Kst is the fastest real-time large-dataset viewing and plotting tool available (you may be interested in some benchmarks) and has built-in data analysis functionality.Kst contains many powerful built-in features and is expandable with plugins and extensions (see developer information in the "Resources" section).Kst is licensed under the GPL, and is as such freely available for anyone. What's more, as of 2.0.x it is available on all of the following platforms: Microsoft Windows, Linux, Mac OSX. See the "Downloads" section for pre-compiled executables or the sources.


A large number of third party packages extend and build on Matplotlibfunctionality, including several higher-level plotting interfaces(seaborn, HoloViews, ggplot, ...), and a projection and mappingtoolkit (Cartopy).


So I prepared a dockerfile to make it even easier to build windows using docker. You can build this docker image on linux. AFAIK there are ways to run docker on windows host but I won't go into any details of that. It is also possible to use MXE in msys2, which is a layer to run unix programs on windows. In fact most of the windows releases until now has been built on windows using msys2 and mxe.


A couple of months ago Gigwiz updated their flagship data analysis and graphing application Aabel I've recently had a chance to spend a little time using it and I thought I'd post my impressions. There are an increasing number of high quality data analysis tools now available under Mac OS X, these range from simple spreadsheet applications to powerful 3D data and statistcal analysis tools. One thing that you are quickly aware of is that Aabel produces absolutlely stunning graphs, but it is much more than a pretty face, it also has powerful statistical and data exploration tools. Aabel comes with an impressive 1000 page manual that describes the application in great detail with plenty of screenshots to aid understanding. It also has a much shorter "QuickStart Guide" to get you up and running instantly. The other thing I'd add is that I had a couple of questions when writing this and the Gigawiz support is excellent.


Aabel is a tremendously powerful plotting application and I can only describe a few of the many features.The HERG data set I'm using here has a column of categorical data, use the chart category "Categorical Histogram, Pareto, Spine, Ogive", and from the corresponding Variables & Plot Options palette, choose the intended categorical variable as shown in the figure below.


If we now add a scatterplot, and then activate the categorical Histogram and click the bin whose data should be highlighted, the corresponding points will be highlighted on the X-Y plot as shown in the image below. This linking and brushing is a really useful way to explore the data in multiple plots, and the ability to interact in this manner is one feature that sets apart the more extensive applications from the cheap and cheerful plotting and charting applications.


Aabel is an outstanding plotting and graphing tool that gives a wide variety of really beautiful plots, in additon it is also packed with a wealth of powerful statistcal tools. This is a really solid upgrade adding a wide range of additional statistical tools and plots. There have also been a few tweaks to the UI which should help new users. At $575 Aabel is a long way from the most expensive data analysis packages available in addition Aabel is available with an academic license for educational end users. Aabel also has applescript support a feature I'll look at in a subsequent review.


At the recent WWDC 2006 there was a discussion about the need for a simple 2D plotting tool, David Adalsteinsson the author of the scientific visualisation tool DataTank has created DataGraph a 2D plotting tool with the design philosophy "Simple and Powerful Plotting". On startup the application displays a three pane window, the left hand pane contains the data set being explored, the upper pane the display options and the lower pane the graph display. Across the top of the window are the various graph commands, these are also available from the application menu. The rightmost "Parameters" button opens a side panel giving access to sliders and other interactive manipulation tools.


The Graphviz layout programs take descriptions of graphs in a simple text language, and make diagrams in useful formats, such as images and SVG for web pages; PDF or Postscript for inclusion in other documents; or display in an interactive graph browser. Graphviz has many useful features for concrete diagrams, such as options for colors, fonts, tabular node layouts, line styles, hyperlinks, and custom shapes.


Nobody had mentioned Processing which is super versatile. You can do a lot more than just plotting but if that's all you want to do you can use the gwoptics library; hook up Arduino and Processing as directed here.


Live Graph is slightly buggy when caching data and I haven't found a way to set a moving window to display results. Also, showing multiple graphs requires manual scaling, but in spite of all this, it's still very useful. It's written in java so you'll need the JRE. I prefer this over having to install python like some of the other graphing programs do. another downside is that it opens 4 different windows, which is a pain when I want to flip between it and Tera Term.


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