Overview

Dataset statistics

Number of variables15
Number of observations1278
Missing cells6390
Missing cells (%)33.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.1 KiB
Average record size in memory125.1 B

Variable types

Categorical8
Text1
Unsupported5
DateTime1

Dataset

Description한국보훈복지의료공단 광주보훈병원에서 제공하는 병동별 투약시간 기본정보 공공데이터로, 병동코드명, 용법코드명, 투여시간이 포함되어 있습니다.
Author한국보훈복지의료공단
URLhttps://www.data.go.kr/data/15102387/fileData.do

Alerts

투여시간6회차 is highly overall correlated with 병동코드명 and 6 other fieldsHigh correlation
투여시간3회차 is highly overall correlated with 투여시간1회차 and 5 other fieldsHigh correlation
투여시간4회차 is highly overall correlated with 투여시간1회차 and 5 other fieldsHigh correlation
투여시간2회차 is highly overall correlated with 투여시간1회차 and 5 other fieldsHigh correlation
병동코드명 is highly overall correlated with 투여시간6회차 and 1 other fieldsHigh correlation
투여시간1회차 is highly overall correlated with 투여시간2회차 and 5 other fieldsHigh correlation
투여시간7회차 is highly overall correlated with 병동코드명 and 6 other fieldsHigh correlation
투여시간5회차 is highly overall correlated with 투여시간1회차 and 5 other fieldsHigh correlation
투여시간4회차 is highly imbalanced (68.5%)Imbalance
투여시간5회차 is highly imbalanced (87.2%)Imbalance
투여시간6회차 is highly imbalanced (87.4%)Imbalance
투여시간7회차 is highly imbalanced (91.3%)Imbalance
투여시간8회차 has 1278 (100.0%) missing valuesMissing
투여시간9회차 has 1278 (100.0%) missing valuesMissing
투여시간10회차 has 1278 (100.0%) missing valuesMissing
투여시간11회차 has 1278 (100.0%) missing valuesMissing
투여시간12회차 has 1278 (100.0%) missing valuesMissing
투여시간8회차 is an unsupported type, check if it needs cleaning or further analysisUnsupported
투여시간9회차 is an unsupported type, check if it needs cleaning or further analysisUnsupported
투여시간10회차 is an unsupported type, check if it needs cleaning or further analysisUnsupported
투여시간11회차 is an unsupported type, check if it needs cleaning or further analysisUnsupported
투여시간12회차 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 17:14:37.867386
Analysis finished2023-12-12 17:14:39.311552
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

병동코드명
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
82병동
92 
91병동
 
81
81병동
 
79
51병동
 
77
52병동
 
76
Other values (19)
873 

Length

Max length5
Median length4
Mean length3.8912363
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11병동
2nd row11병동
3rd row11병동
4th row11병동
5th row11병동

Common Values

ValueCountFrequency (%)
82병동 92
 
7.2%
91병동 81
 
6.3%
81병동 79
 
6.2%
51병동 77
 
6.0%
52병동 76
 
5.9%
62병동 73
 
5.7%
32병동 67
 
5.2%
33병동 67
 
5.2%
53병동 67
 
5.2%
63병동 67
 
5.2%
Other values (14) 532
41.6%

Length

2023-12-13T02:14:39.390106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
82병동 92
 
7.2%
91병동 81
 
6.3%
81병동 79
 
6.2%
51병동 77
 
6.0%
52병동 76
 
5.9%
62병동 73
 
5.7%
32병동 67
 
5.2%
33병동 67
 
5.2%
53병동 67
 
5.2%
63병동 67
 
5.2%
Other values (14) 532
41.6%

용법코드명
Text

Distinct107
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
2023-12-13T02:14:39.639729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length26
Mean length21.813772
Min length12

Characters and Unicode

Total characters27878
Distinct characters88
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)1.3%

Sample

1st row1일 4회 5시간마다 복용하세요
2nd row1일 5회 4시간마다 복용하세요
3rd row1일 6회 4시간마다 복용하세요
4th row1일 1회 오전 7시에 복용하세요
5th row1일 1회 오후 7시에 복용하세요
ValueCountFrequency (%)
1일 1231
20.2%
복용하세요 1113
18.2%
1회 487
 
8.0%
2회 295
 
4.8%
3회 272
 
4.5%
30분에 248
 
4.1%
4회 177
 
2.9%
매 163
 
2.7%
30분,취침전에 160
 
2.6%
1시간에 132
 
2.2%
Other values (93) 1830
30.0%
2023-12-13T02:14:40.002389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6035
21.6%
1 1959
 
7.0%
요 1296
 
4.6%
세 1295
 
4.6%
하 1291
 
4.6%
회 1269
 
4.6%
일 1255
 
4.5%
복 1114
 
4.0%
용 1114
 
4.0%
에 1054
 
3.8%
Other values (78) 10196
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17339
62.2%
Space Separator 6035
 
21.6%
Decimal Number 4000
 
14.3%
Other Punctuation 504
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
요 1296
 
7.5%
세 1295
 
7.5%
하 1291
 
7.4%
회 1269
 
7.3%
일 1255
 
7.2%
복 1114
 
6.4%
용 1114
 
6.4%
에 1054
 
6.1%
식 979
 
5.6%
전 718
 
4.1%
Other values (66) 5954
34.3%
Decimal Number
ValueCountFrequency (%)
1 1959
49.0%
3 730
 
18.2%
2 458
 
11.5%
0 457
 
11.4%
4 232
 
5.8%
8 55
 
1.4%
6 44
 
1.1%
5 33
 
0.8%
7 32
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 500
99.2%
. 4
 
0.8%
Space Separator
ValueCountFrequency (%)
6035
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17339
62.2%
Common 10539
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
요 1296
 
7.5%
세 1295
 
7.5%
하 1291
 
7.4%
회 1269
 
7.3%
일 1255
 
7.2%
복 1114
 
6.4%
용 1114
 
6.4%
에 1054
 
6.1%
식 979
 
5.6%
전 718
 
4.1%
Other values (66) 5954
34.3%
Common
ValueCountFrequency (%)
6035
57.3%
1 1959
 
18.6%
3 730
 
6.9%
, 500
 
4.7%
2 458
 
4.3%
0 457
 
4.3%
4 232
 
2.2%
8 55
 
0.5%
6 44
 
0.4%
5 33
 
0.3%
Other values (2) 36
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17339
62.2%
ASCII 10539
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6035
57.3%
1 1959
 
18.6%
3 730
 
6.9%
, 500
 
4.7%
2 458
 
4.3%
0 457
 
4.3%
4 232
 
2.2%
8 55
 
0.5%
6 44
 
0.4%
5 33
 
0.3%
Other values (2) 36
 
0.3%
Hangul
ValueCountFrequency (%)
요 1296
 
7.5%
세 1295
 
7.5%
하 1291
 
7.4%
회 1269
 
7.3%
일 1255
 
7.2%
복 1114
 
6.4%
용 1114
 
6.4%
에 1054
 
6.1%
식 979
 
5.6%
전 718
 
4.1%
Other values (66) 5954
34.3%

투여시간1회차
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
07:00
231 
09:00
212 
08:00
164 
06:00
123 
13:00
86 
Other values (22)
462 

Length

Max length5
Median length5
Mean length4.9929577
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row08:00
2nd row05:00
3rd row05:00
4th row07:00
5th row19:00

Common Values

ValueCountFrequency (%)
07:00 231
18.1%
09:00 212
16.6%
08:00 164
12.8%
06:00 123
9.6%
13:00 86
 
6.7%
10:00 65
 
5.1%
08:30 61
 
4.8%
19:00 54
 
4.2%
07:50 44
 
3.4%
17:00 42
 
3.3%
Other values (17) 196
15.3%

Length

2023-12-13T02:14:40.159994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
07:00 231
18.1%
09:00 212
16.6%
08:00 164
12.8%
06:00 123
9.6%
13:00 86
 
6.7%
10:00 65
 
5.1%
08:30 61
 
4.8%
19:00 54
 
4.2%
07:50 44
 
3.4%
17:00 42
 
3.3%
Other values (17) 196
15.3%

투여시간2회차
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
<NA>
495 
13:00
147 
14:00
87 
22:00
68 
19:00
66 
Other values (20)
415 

Length

Max length5
Median length5
Mean length4.6126761
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row13:00
2nd row09:00
3rd row09:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 495
38.7%
13:00 147
 
11.5%
14:00 87
 
6.8%
22:00 68
 
5.3%
19:00 66
 
5.2%
11:00 59
 
4.6%
17:00 41
 
3.2%
12:00 38
 
3.0%
21:00 38
 
3.0%
10:00 32
 
2.5%
Other values (15) 207
16.2%

Length

2023-12-13T02:14:40.285642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 495
38.7%
13:00 147
 
11.5%
14:00 87
 
6.8%
22:00 68
 
5.3%
19:00 66
 
5.2%
11:00 59
 
4.6%
17:00 41
 
3.2%
12:00 38
 
3.0%
21:00 38
 
3.0%
10:00 32
 
2.5%
Other values (15) 207
16.2%

투여시간3회차
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
<NA>
805 
18:00
85 
17:00
 
78
22:00
 
77
20:00
 
47
Other values (11)
186 

Length

Max length5
Median length4
Mean length4.3701095
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row18:00
2nd row13:00
3rd row13:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 805
63.0%
18:00 85
 
6.7%
17:00 78
 
6.1%
22:00 77
 
6.0%
20:00 47
 
3.7%
19:00 44
 
3.4%
16:00 33
 
2.6%
13:00 30
 
2.3%
18:30 30
 
2.3%
17:50 17
 
1.3%
Other values (6) 32
 
2.5%

Length

2023-12-13T02:14:40.417021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 805
63.0%
18:00 85
 
6.7%
17:00 78
 
6.1%
22:00 77
 
6.0%
20:00 47
 
3.7%
19:00 44
 
3.4%
16:00 33
 
2.6%
13:00 30
 
2.3%
18:30 30
 
2.3%
17:50 17
 
1.3%
Other values (6) 32
 
2.5%

투여시간4회차
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
<NA>
1063 
22:00
121 
17:00
 
30
23:00
 
25
02:00
 
13
Other values (4)
 
26

Length

Max length5
Median length4
Mean length4.1682316
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row23:00
2nd row17:00
3rd row17:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1063
83.2%
22:00 121
 
9.5%
17:00 30
 
2.3%
23:00 25
 
2.0%
02:00 13
 
1.0%
21:00 12
 
0.9%
14:00 6
 
0.5%
00:00 6
 
0.5%
23:50 2
 
0.2%

Length

2023-12-13T02:14:40.554009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:14:40.674289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1063
83.2%
22:00 121
 
9.5%
17:00 30
 
2.3%
23:00 25
 
2.0%
02:00 13
 
1.0%
21:00 12
 
0.9%
14:00 6
 
0.5%
00:00 6
 
0.5%
23:50 2
 
0.2%

투여시간5회차
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
<NA>
1242 
21:00
 
30
18:00
 
6

Length

Max length5
Median length4
Mean length4.028169
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row21:00
3rd row21:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1242
97.2%
21:00 30
 
2.3%
18:00 6
 
0.5%

Length

2023-12-13T02:14:40.806594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:14:40.924559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1242
97.2%
21:00 30
 
2.3%
18:00 6
 
0.5%

투여시간6회차
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
<NA>
1243 
01:00
 
29
22:00
 
6

Length

Max length5
Median length4
Mean length4.0273865
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row01:00
3rd row01:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1243
97.3%
01:00 29
 
2.3%
22:00 6
 
0.5%

Length

2023-12-13T02:14:41.046932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:14:41.135444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1243
97.3%
01:00 29
 
2.3%
22:00 6
 
0.5%

투여시간7회차
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
<NA>
1264 
05:00
 
14

Length

Max length5
Median length4
Mean length4.0109546
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row05:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1264
98.9%
05:00 14
 
1.1%

Length

2023-12-13T02:14:41.437163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:14:41.532746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1264
98.9%
05:00 14
 
1.1%

투여시간8회차
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1278
Missing (%)100.0%
Memory size11.4 KiB

투여시간9회차
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1278
Missing (%)100.0%
Memory size11.4 KiB

투여시간10회차
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1278
Missing (%)100.0%
Memory size11.4 KiB

투여시간11회차
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1278
Missing (%)100.0%
Memory size11.4 KiB

투여시간12회차
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1278
Missing (%)100.0%
Memory size11.4 KiB

수정일시
Date

Distinct234
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Memory size10.1 KiB
Minimum2007-01-01 00:00:00
Maximum2022-01-13 10:49:00
2023-12-13T02:14:41.644603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:14:41.774974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-13T02:14:41.859622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
병동코드명투여시간1회차투여시간2회차투여시간3회차투여시간4회차투여시간5회차투여시간6회차
병동코드명1.0000.0000.0000.0000.2480.6690.874
투여시간1회차0.0001.0000.9650.9830.8320.9870.987
투여시간2회차0.0000.9651.0000.9900.8580.9870.987
투여시간3회차0.0000.9830.9901.0000.8540.9870.987
투여시간4회차0.2480.8320.8580.8541.0000.9870.987
투여시간5회차0.6690.9870.9870.9870.9871.0000.987
투여시간6회차0.8740.9870.9870.9870.9870.9871.000
2023-12-13T02:14:41.985612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
투여시간6회차투여시간3회차투여시간4회차투여시간2회차병동코드명투여시간1회차투여시간7회차투여시간5회차
투여시간6회차1.0000.8960.8960.8960.5470.8961.0000.896
투여시간3회차0.8961.0000.6330.7840.0000.8921.0000.897
투여시간4회차0.8960.6331.0000.6340.0960.5961.0000.897
투여시간2회차0.8960.7840.6341.0000.0000.7611.0000.897
병동코드명0.5470.0000.0960.0001.0000.0001.0000.399
투여시간1회차0.8960.8920.5960.7610.0001.0001.0000.897
투여시간7회차1.0001.0001.0001.0001.0001.0001.0001.000
투여시간5회차0.8960.8970.8970.8970.3990.8971.0001.000
2023-12-13T02:14:42.099085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
병동코드명투여시간1회차투여시간2회차투여시간3회차투여시간4회차투여시간5회차투여시간6회차투여시간7회차
병동코드명1.0000.0000.0000.0000.0960.3990.5471.000
투여시간1회차0.0001.0000.7610.8920.5960.8970.8961.000
투여시간2회차0.0000.7611.0000.7840.6340.8970.8961.000
투여시간3회차0.0000.8920.7841.0000.6330.8970.8961.000
투여시간4회차0.0960.5960.6340.6331.0000.8970.8961.000
투여시간5회차0.3990.8970.8970.8970.8971.0000.8961.000
투여시간6회차0.5470.8960.8960.8960.8960.8961.0001.000
투여시간7회차1.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-13T02:14:39.032344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:14:39.238163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

병동코드명용법코드명투여시간1회차투여시간2회차투여시간3회차투여시간4회차투여시간5회차투여시간6회차투여시간7회차투여시간8회차투여시간9회차투여시간10회차투여시간11회차투여시간12회차수정일시
011병동1일 4회 5시간마다 복용하세요08:0013:0018:0023:00<NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
111병동1일 5회 4시간마다 복용하세요05:0009:0013:0017:0021:0001:00<NA><NA><NA><NA><NA><NA>2007-01-01 00:00
211병동1일 6회 4시간마다 복용하세요05:0009:0013:0017:0021:0001:0005:00<NA><NA><NA><NA><NA>2007-01-01 00:00
311병동1일 1회 오전 7시에 복용하세요07:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
411병동1일 1회 오후 7시에 복용하세요19:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
511병동1일 1회 오전 8시에 복용하세요08:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
611병동1일 2회 아침,저녁식후 30분에 복용하세요09:0019:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
711병동1일 2회 아침,저녁식전 30분에 복용하세요07:0017:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
811병동1일 2회 아침,저녁식전 1시간에 복용하세요07:0017:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
911병동1일 2회 아침,저녁식전 2시간에 복용하세요06:0016:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
병동코드명용법코드명투여시간1회차투여시간2회차투여시간3회차투여시간4회차투여시간5회차투여시간6회차투여시간7회차투여시간8회차투여시간9회차투여시간10회차투여시간11회차투여시간12회차수정일시
1268회복실1일 3회 식전 1시간에 복용하세요07:0011:0017:00<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
1269회복실1일 3회 식전 2시간에 복용하세요06:0010:0016:00<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
1270회복실1일 3회 점심,저녁식후 30분,취침전에 복용하세요13:0019:0022:00<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
1271회복실1일 3회 아침,점심식후 30분,취침전에 복용하세요09:0013:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
1272회복실1일 3회 아침,저녁식후 30분,취침전에 복용하세요09:0019:0022:00<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
1273회복실1일 3회 식후 1시간에 복용하세요 복용하세요09:0013:0019:00<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
1274회복실1일 3회 식후 2시간에 복용하세요10:0014:0020:00<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
1275회복실1일 3회 매 식사직전에 복용하세요07:5011:5017:50<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
1276회복실1일 3회 식사직후에 복용하세요08:3012:3018:30<NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00
1277회복실1주 1회 아침식전 30분에 복용하세요07:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2007-01-01 00:00