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update examples/situational-awareness/README.md

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Déborah Servili 2016-08-30 10:42:34 +02:00
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* tag\_search.py allows research for multiple tags is possible by separating each tag by the | symbol.
* Partial research is also possible with tag\_search.py. For instance, search for "ransom" will also return tags containin "ransomware".
* tags\_to\_graphs.py is a script that will generate several plots to visualise tags distribution.
* The studied _period_ can be either the 7, 28 or 360 last days
* _accuracy_ allows to get smallers splits of data instead of the default values
* _order_ define the accuracy of the curve fitting. Default value is 3
* It will generate three plots:
* Raw datas: in plot folder, named with the name of the corresponding taxonomy
* Trend: in plot folder, named _taxonomy_\_trend. general evolution of the data (linear fitting, curve fitting at order 1)
* Curve fitting: in plotlib folder, name as the taxonomy it presents.
:warning: These scripts are not time optimised
## Requierements
* [Pygal](https://github.com/Kozea/pygal/)
* [Matplotlib](https://github.com/matplotlib/matplotlib)