alexluoqk/ccm

chronicConditionsManagement

ccm

chronicConditionsManagement

dataframe column

Index(['index', 'lastMod', 'askList', 'answerList', 'checkInList', 'complaint', 'record', 'advice', 'consultingType', 'patientVote', 'onlineCons', 'askLagTotal', 'answerLagTotal', 'checkInLag', 'checkInTitle', 'checkInType', 'withOffLine', 'timesCheckIn', 'askFreq', 'answerFreq', 'checkInFreq', 'satisficing', 'lookBackType1', 'lookBackLag1', 'lookBackType2', 'lookBackLag2', 'lookBackType3', 'lookBackLag3', 'lookAheadType', 'lookAheadLag', 'patientSex', 'patientAge'], dtype='object')

dataframe info

<class 'pandas.core.frame.DataFrame'>

Int64Index: 383278 entries, 0 to 383277

Data columns (total 32 columns):

#	Column	Non-Null Count	Dtype
---	------	--------------	-----
0	index	383278 non-null	int64
1	lastMod	383278 non-null	object
2	askList	381038 non-null	object
3	answerList	383269 non-null	object
4	checkInList	383278 non-null	object
5	complaint	383277 non-null	object
6	record	346164 non-null	object
7	advice	347277 non-null	object
8	consultingType	383278 non-null	object
9	patientVote	383278 non-null	object
10	onlineCons	383278 non-null	object
11	askLagTotal	383278 non-null	int64
12	answerLagTotal	383278 non-null	int64
13	checkInLag	383273 non-null	object
14	checkInTitle	383273 non-null	object
15	checkInType	383273 non-null	object
16	withOffLine	383278 non-null	int64
17	timesCheckIn	383278 non-null	int64
18	askFreq	383278 non-null	int64
19	answerFreq	383278 non-null	int64
20	checkInFreq	383278 non-null	int64
21	satisficing	383278 non-null	float64
22	lookBackType1	133083 non-null	object
23	lookBackLag1	133182 non-null	float64
24	lookBackType2	42037 non-null	object
25	lookBackLag2	42057 non-null	float64
26	lookBackType3	19595 non-null	object
27	lookBackLag3	19605 non-null	float64
28	lookAheadType	198803 non-null	object
29	lookAheadLag	198803 non-null	float64
30	patientSex	383278 non-null	object
31	patientAge	383207 non-null	float64

dtypes: float64(6), int64(8), object(18)

memory usage: 96.5+ MB