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Octave

Using Open Source Software for SWMP Data Analysis. Octave. TTW 2014 : Michelle Cordrey. +. Easy to use for exploratory statistics Great graphics packages ( ggplot ) Helpful community For some is more intuitive than other options Cross disciplinary and very high quality packages

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Octave

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  1. Using Open Source Softwarefor SWMP Data Analysis Octave TTW 2014 : Michelle Cordrey

  2. + • Easy to use for exploratory statistics • Great graphics packages (ggplot) • Helpful community • For some is more intuitive than other options • Cross disciplinary and very high quality packages • Many packages (>5000 in CRAN) • Rstudio – GUI interactive environment which makes working in R much easier for newcomers to programming

  3. Python • Relatively easy to learn • Popular – many users / help resources • “Real” Language** • Scientific computing packages – NumPy, SciPy, Pandas • Many different ways to work with in excel, arcmap, IDEs , console, ipython

  4. + • The number of packages needed to work with scientific data is daunting: SciPy , NumPy, Pandas, matplotlib etc… • Install a complete solution such as Anaconda To get all necessary pkgs and nice IDE and interactive environments Other option for complete python sci data solution:

  5. 15 minute analysis:simple examples Owl

  6. 15 minute analysis: R simple example

  7. 15 minute analysis: R simple example

  8. 15 minute analysis: R simple example

  9. 15 minute analysis: R simple example

  10. 15 minute analysis: Python example

  11. 15 minute analysis: Python example

  12. 15 minute analysis: Python example

  13. 15 minute analysis: Python example

  14. Resources • Python • Install Anaonda: https://store.continuum.io/cshop/anaconda/ • R • Install R: http://cran.r-project.org • Install Rstudio: http://www.rstudio.com All code used in the will be at: http://trnerr.org/opensourcetools/

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