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update examples/situational-awareness/README.md
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* The studied _period_ can be either the 7, 28 or 360 last days
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* _accuracy_ allows to get smallers splits of data instead of the default values
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* _order_ define the accuracy of the curve fitting. Default value is 3
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* It will generate three plots:
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* It will generate two plots comparing all the tags:
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* tags_repartition_plot that present the raw data
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* tags_repartition_trend_plot that present the general evolution for each tag
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* Then each taxonomies will be represented in three plots:
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* Raw datas: in plot folder, named with the name of the corresponding taxonomy
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* Trend: in plot folder, named _taxonomy_\_trend. general evolution of the data (linear fitting, curve fitting at order 1)
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* Curve fitting: in plotlib folder, name as the taxonomy it presents.
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