I think the benchmark is a good idea; I'd suggest for your 2D plots that you replicate some of the plots in the. Edit: My current workflow is a mix of different components, which more or less work together but in total it is not really efficient and I think this is typical for a number of scientists at an university lab. Genius lets you copy stuff directly from this application to a document in.
My workflow is not always the same, as I am analysing data from different experiments, therefore I tried to keep the question a bit more general. Fortunately, like the other platforms, Linux is also enriched with a lot of plotting tools. Provides you a great advantage in data manipulation and filtering. Matplotlib is a scientific plotting software that can produce publication-quality figures for your research. Offers a built-in high-performance rendering engine that allows you to use this tool without having any programming skills. It also lets you design various diagrams, posters, graphs, and more. eval(ez_write_tag([[300,250],'ubuntupit_com-banner-1','ezslot_3',199,'0','0'])); Ggplot2 is another data visualization package for Linux. Looking at it, it wouldn't help me choose one. For submission, use the externalization library (see chapter 7 of the manual) to bake your figure into a pdf and simply replace. In my experience, I have found that GNUPLOT is the best tool for formatting and producing 2D plots and scatterplots. You can export vector graphics to several formats like EPS, MIF, SVG, and PDF. GeoGebra offers scientific graphs and data with points, vectors, lines, segments, polygons, and functions. It can be hard to learn, but it produces very clean plots. Anyway, the output quality of Asymptote is really nice. Text uses absolute coordinates by default which means that 8-point type will be 8 point regardless of whether the same figure is exported at 7 cm or 14 cm size. It is a bit weak, but certainly works fine for quick visualization.
GLE is a cross-platform software that runs in all the major. Having figures with several subplots and having some precise alignment between the coordinate systems of the subplots can be difficult. You have entered an incorrect email address! For each example, code (input) and images (output) would be posted. Lets you export the materials in several formats, including SVG, PDF, EPS, and PNG. If you have some experience with Python (or even not), I would recommend using the Python scientific software that is available (SciPy,Pandas),...) together with Matplotlib. Ggplot2 is another data visualization package for Linux. This application is written in C++ and has several types of functions. It is also a cross-platform language. It is a part of an ecosystem of packages (tidyverse) designed with common APIs and a shared philosophy. All graphics are specified in a declarative way (like SVG---you don't tell the system to draw something, you just list the vector graphics objects). Is there some software that allows this or should I just dig deeper in one of the packages? Save my name, email, and website in this browser for the next time I comment. Besides the normal graphs, it also provides complex plotting capacity to the users. Sometimes, the plots produced by GNUPLOT can be quite large (in MB range) and the journal might reject the files (this happened to me with some very colourful scatterplots).
It can also be set to produce plots in encapsulated postscript format (.eps) which allows for easy embedding into documents written in $\LaTeX$. It provides useful information and supports to run this application on your server correctly.eval(ez_write_tag([[580,400],'ubuntupit_com-narrow-sky-1','ezslot_17',814,'0','0'])); DataMelt is free and open-source software that helps in numeric computation, statistics, data analysis, data visualization, and more. Is it my responsibility to tell a team member off whom I think is crossing the line, Regions for numerically defined Toroidal surfaces, Strange usage of を-Particle inside a 俳句 (haiku). Genius is an ideal alternative to other popular software like Maple, Matlab, or Mathematica.