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dosenet-analysis

Tools for analysis with DoseNet's open access data.

Everything here works right out of the box! You can see correlations between data, and as a bonus, the visualizations are beautiful too.

In order to do your own binning, however, you need to download the data from the DoseNet downloads page and select Etcheverry Roof from the dropdown menu. If you want to get data from another source, you will have to change a lot of filenames in the Ipython Notebooks. We might come up with a cleaner solution later on. Once you have downloaded the data, you can manually run the time_binning.py script with the necessary parameters, as follows:

python time_binning.py [optional arguments] <source>

where source can be a URL or file on your computer that refers to a .csv file from where you want to bin your data. Type python time_binning.py -h to see the full list of options.

However, I would strongly recommend you to use multi_bin.py, which automates the process of binning over different intervals of time and over multiple files or URLs. It works using Python's built-in os.system function. So it is MUCH more readable and beginner-friendly than an ordinary Bash script, and it might even work on Windows (unlike bash scripts). The script has adequately good documentation in its docstrings, and is pretty intuitive even for beginners, so feel free to check it out and make modifications to it to suit your use-case!

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Tools for analysis with DoseNet's open access data.

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