(Free) data visualization software

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Discussion Overview

The discussion revolves around recommendations for free data visualization software, exploring various tools suitable for different skill levels and preferences, including code-based and drag-and-drop options. Participants also inquire about sample data sets for practice.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested

Main Points Raised

  • One participant seeks recommendations for free data visualization software and sample data sets for practice.
  • Several participants suggest tools such as R, gnuplot, and ORIGIN, highlighting their features and suitability for different tasks.
  • Some participants express skepticism about the formatting capabilities of free software compared to proprietary tools.
  • Others recommend JavaScript libraries like D3.js and Chartist.js for those comfortable with coding, noting their interactivity and ease of use.
  • Participants mention the availability of extensive online resources for learning and using these tools.
  • There is a suggestion to explore Fedora Linux for data visualization software due to its licensing of free repositories.
  • Some participants advocate for using Gnuplot for complex visualizations and mention alternatives like SciDavis for more advanced needs.
  • One participant emphasizes the importance of statistical capabilities in data visualization, recommending R for its open-source nature and widespread use.
  • There is a brief exchange regarding preferences for operating systems, with differing opinions on the use of Windows versus Linux.

Areas of Agreement / Disagreement

Participants present a variety of tools and opinions, with no clear consensus on a single best option. Some express doubts about the capabilities of free software, while others advocate for specific tools based on their experiences.

Contextual Notes

Limitations include varying levels of familiarity with programming and statistical requirements, as well as differing opinions on the suitability of free versus paid software for advanced formatting needs.

Who May Find This Useful

Individuals interested in data visualization, particularly those seeking free tools and resources for learning and practice, may find this discussion beneficial.

HJ Farnsworth
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Greetings,

I have never worked with any good data visualization tools, but it is a skill I would very much like to learn.

Does anyone know of some good free data visualization software?

If so, could you please describe it a little bit as well? Eg., is it code-based or drag-and-drop, etc.

Additionally, does anyone know of any large sets of sample data that I could find online, that would be well-suited for practicing with the data visualization software once I download it?

E.g., I think a good starting project for me would be to learn how to produce a graphic like the one below from the raw data.

00014g-837.gif


Thanks very much for any help that you can give.

-HJ Farnsworth
 
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In addition to the paid ones (That schools might have available for you) a lot of the science community uses ORIGIN (http://www.originlab.com/)

But again, the free trial is only for 21 days.
 
You can learn with Tableu software which is a data Visualization Software .Now If you register on their site you can get the product free as Registered students get free training & software.Now this is a great software to start with, who knows you might endup getting an great Job as lots of Companies these days are using this software.
Second tool which i would recommend is "R". Its an great Free open source software, again lots of companies use this Tool.
Good luck with this.
 
I doubt that there are free packages that would allow the detailed formatting in your example (like degree symbols in the Y axis and all the formatted text blocks). The free ones probably don't have that type of formatting flexibility. That probably requires an expensive proprietary tool, a graphics department, or a lot of work in a text processing package. But there are a lot of free packages for doing basic charts of data. I have heard good things about 'R' and was pleased with what I saw in a brief look. You may have to do a basic graph and then overlay the labels on a graph picture in Microsoft Visio or Powerpoint.
 
Last edited:
Find Fedora linux data visualization software. Fedora is required by their license to carry only free repositories.
 
Dr Transport said:
gnuplot is free...

And loads of information is available online.
I really, really like the examples found on http://www.gnuplotting.org/
They show how you can make your figures pretty.
 
Hi!

The best library for data visualization is by far D3.js - that's if you like to get your hands dirty with JavaScript coding. But the things you can do there at a level of interactivity are unparalleled.

A way simpler JavaScript library is Chartist.js. The charts you can make with that are beautiful - though simpler - and it's a lot easier for you to learn.

Or if you need a simpler tool to visualize data you can try Highcharts. And that's totally free per personal projects.

Also you can go through this big list of data visualization tools and try every single one out of the 20 and see what fits best.

Does that help?

Best

Edoardo
 
  • #10
David Dell said:
Y
Second tool which i would recommend is "R". Its an great Free open source software, again lots of companies use this Tool.
Good luck with this.
As this requires also statistics, I would go for R, too:
https://cran.r-project.org/
 
  • #11
Gnuplot is what we use for complex stuff. We just use a spreadsheet or 2D Graph (https://www.padowan.dk/download/ ) for simpler stuff.

There is also a program called SciDavis that some people in our group use when they want something mode complex that Graph can do without using Gnuplot.
 
  • #13
JorisL said:
And loads of information is available online.
I really, really like the examples found on http://www.gnuplotting.org/
They show how you can make your figures pretty.

I would also like to suggest XMGRACE, which is also free and open-source. I believe it is only available for linux, but who would want to use windows in this day and age?
 
  • #14
mohinder said:
but who would want to use windows in this day and age?
Plenty of people.
 
  • #15
If you like code based plotting, then Gnuplot is certainly worth an effort. If your data treatment requires a lot of programming etc, then take a look at python and the matplotlib library.

For both there are extensive online resources available, like tutorials, examples, FAQs, etc.

If you prefer drag and drop graphics, then I cannot help you. :-)
 

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