Reorganizing gaze analizis pipeline documentation.

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-Log gaze analysis
-=================
-
-[ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) and [ArLayer](../../argaze.md/#argaze.ArFeatures.ArLayer) logging are optional pipeline steps. They are executed at each new scan path step to update logs.
-
-## Enable ArFrame and ArLayer logging
-
-[ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) and [ArLayer](../../argaze.md/#argaze.ArFeatures.ArLayer) have a log attribute to enable analysis logging.
-
-Here is the JSON ArFrame configuration file example where logging is enabled for the ArFrame and for one ArLayer:
-
-```json
-{
-    "name": "My FullHD screen",
-    "size": [1920, 1080],
-    "log": true,
-    ...
-    "layers": {
-        "MyLayer": {
-            "log": true,
-            ...
-        }
-    }
-}
-```
-
-Then, here is how to access to logs dictionaries:
-
-```python
-# Assuming that all timestamped gaze positions have been processed by ArFrame.look method
-...
-
-# Access to ArFame scan path analysis logs
-for analysis, log in ar_frame.logs.items():
-    
-    # Do something with scan path analysis log
-    ...
-
-# Access to ArLayers AOI scan path analysis logs
-for layer_name, layer in ar_frame.layers.items():
-
-    for analysis, log in layer.logs.items():
-
-        # Do something with AOI scan path analysis log
-        ...
-```
-
-!!! note
-    [ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) and its [ArLayers](../../argaze.md/#argaze.ArFeatures.ArLayer) logging are automatically done each time the [ArFrame.look](../../argaze.md/#argaze.ArFeatures.ArFrame.look) method is called.  
-    [ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) logging records each scan path analysis into a dedicated timestamped data buffer each time a new scan path step happens.  
-    [ArLayer](../../argaze.md/#argaze.ArFeatures.ArLayer) logging records each AOI scan path analysis into a dedicated timestamped data buffer each time a new AOI scan path step happens.
-
-## Export gaze analysis logs to CSV file
-
-It is possible to convert gaze analysis log as [Pandas DataFrame](https://pandas.pydata.org/docs/getting_started/intro_tutorials/01_table_oriented.html#min-tut-01-tableoriented) object which can be writen into a CSV file.
-
-```python
-import pandas
-
-# Assuming that all timestamped gaze positions have been processed by ArFrame.look method
-...
-
-# Export ArFame scan path analysis logs
-for analysis, log in ar_frame.logs.items():
-    
-    log.as_dataframe().to_csv(f'./{ar_frame.name}_{analysis}.csv')
-
-# Export ArLayers layers AOI scan path analysis logs
-for layer_name, layer in ar_frame.layers.items():
-
-    for analysis, log in layer.logs.items():
-
-        log.as_dataframe().to_csv(f'./{ar_frame.name}_{layer_name}_{analysis}.csv')
-
-```
-
-Assuming that [ArGaze.GazeAnalysis.Basic](../../argaze.md/#argaze.GazeAnalysis.Basic) scan path analysis module is enabled for 'My FullHD screen' ArFrame, a ***My FullHD screen_argaze.GazeAnalysis.Basic.csv*** file would be created:
-
-|timestamped|path_duration|step_fixation_durations_average|steps_number|
-|:----------|:------------|:------------------------------|:-----------|
-|3460       |1750         |563.0                          |2           |
-|4291       |2623         |652.0                          |3           |
-|4769       |3107         |544.0                          |4           |
-|6077       |4411         |652.8                          |5           |
-|6433       |4760         |595.1                          |6           |
-|7719       |6050         |652.8                          |7           |
-|...        |...          |...                            |...         |
-
-Assuming that [ArGaze.GazeAnalysis.NGram](../../argaze.md/#argaze.GazeAnalysis.NGram) AOI scan path analysis module is enabled for 'MyLayer' ArLayer, a ***My FullHD screen_MyLayer_argaze.GazeAnalysis.NGram.csv*** file would be created:
-
-|timestamped|ngrams_count|
-|:----------|:-----------|
-|5687       |"{3: {}, 4: {}, 5: {}}"|
-|6208       |"{3: {('upper_left_corner', 'lower_left_corner', 'lower_right_corner'): 1}, 4: {}, 5: {}}"|
-|...        |...         |
-
-