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update examples/situational-awareness/README.md

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Déborah Servili 2016-09-05 13:41:02 +02:00
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* The studied _period_ can be either the 7, 28 or 360 last days * 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 * _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 * _order_ define the accuracy of the curve fitting. Default value is 3
* It will generate three plots: * It will generate two plots comparing all the tags:
* tags_repartition_plot that present the raw data
* tags_repartition_trend_plot that present the general evolution for each tag
* Then each taxonomies will be represented in three plots:
* Raw datas: in plot folder, named with the name of the corresponding taxonomy * 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) * 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. * Curve fitting: in plotlib folder, name as the taxonomy it presents.