Example of EventStream¶

[1]:

# import openLA as la
import OpenLA as la
course_info = la.CourseInformation(files_dir="dataset_sample", course_id="A")

Load event stream¶

[2]:

event_stream = course_info.load_eventstream()

[3]:

event_stream.df

[3]:

	userid	contentsid	operationname	pageno	marker	memo_length	devicecode	eventtime
0	U1	C1	OPEN	1	NaN	0	tablet	2018-04-08 17:53:47
1	U1	C1	PAGE_JUMP	1	NaN	0	tablet	2018-04-08 17:53:50
2	U1	C1	NEXT	1	NaN	0	tablet	2018-04-08 17:54:01
3	U1	C1	NEXT	2	NaN	0	tablet	2018-04-08 17:54:21
4	U1	C1	NEXT	3	NaN	0	tablet	2018-04-08 17:54:24
...	...	...	...	...	...	...	...	...
263279	U99	C8	NEXT	18	NaN	0	pc	2018-06-05 16:07:23
263280	U99	C8	PREV	19	NaN	0	pc	2018-06-05 16:07:26
263281	U99	C8	PREV	18	NaN	0	pc	2018-06-05 16:07:28
263282	U99	C8	PREV	17	NaN	0	pc	2018-06-05 16:07:30
263283	U99	C8	CLOSE	16	NaN	0	pc	2018-06-05 16:07:30

263284 rows × 8 columns

Aggregate Information¶

[4]:

event_stream.num_users()

[4]:

[5]:

event_stream.user_id()[:10]

[5]:

['U1', 'U10', 'U100', 'U101', 'U102', 'U103', 'U104', 'U105', 'U106', 'U107']

[6]:

event_stream.contents_id()

[6]:

['C1', 'C2', 'C3', 'C4', 'C5', 'C7', 'C8', 'C6']

[7]:

event_stream.operation_name()

[7]:

['OPEN',
 'PAGE_JUMP',
 'NEXT',
 'PREV',
 'ADD BOOKMARK',
 'DELETE BOOKMARK',
 'CLOSE',
 'BOOKMARK_JUMP',
 'ADD MARKER',
 'DELETE MARKER',
 'ADD MEMO',
 'DELETE_MEMO',
 'CHANGE MEMO',
 'SEARCH',
 'SEARCH_JUMP',
 'LINK_CLICK']

[8]:

event_stream.operation_count(user_id="U1")

[8]:

{'NEXT': 936,
 'PREV': 463,
 'PAGE_JUMP': 25,
 'OPEN': 22,
 'ADD BOOKMARK': 8,
 'CLOSE': 8,
 'BOOKMARK_JUMP': 3,
 'ADD MARKER': 2,
 'DELETE BOOKMARK': 1,
 'DELETE MARKER': 1}

[9]:

event_stream.operation_count(operation_name="NEXT",
                             user_id="U2",
                             contents_id="C1")

[9]:

[10]:

event_stream.marker_type()

[10]:

['difficult', 'important']

[11]:

event_stream.device_code()

[11]:

['tablet', 'pc', 'mobile']