Overview

Dataset statistics

Number of variables12
Number of observations4096
Missing cells1098
Missing cells (%)2.2%
Duplicate rows46
Duplicate rows (%)1.1%
Total size in memory396.1 KiB
Average record size in memory99.0 B

Variable types

Categorical4
Text5
Numeric3

Dataset

Description건강보험심사평가원 의약품안전사용(DUR, Drug Utilization Review) 연령금기 의약품 품목 정보
URLhttps://www.data.go.kr/data/15067465/fileData.do

Alerts

Dataset has 46 (1.1%) duplicate rowsDuplicates
특정연령 is highly overall correlated with 특정연령단위-2High correlation
특정연령단위-1 is highly overall correlated with 고시일자High correlation
특정연령단위-2 is highly overall correlated with 특정연령 and 1 other fieldsHigh correlation
고시일자 is highly overall correlated with 특정연령단위-1 and 1 other fieldsHigh correlation
특정연령단위-1 is highly imbalanced (62.2%)Imbalance
상세정보 has 1098 (26.8%) missing valuesMissing
고시번호 is highly skewed (γ1 = -44.28747168)Skewed

Reproduction

Analysis started2023-12-12 23:13:42.856658
Analysis finished2023-12-12 23:13:45.839759
Duration2.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
급여품목
3296 
비급여품목
800 

Length

Max length5
Median length4
Mean length4.1953125
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
급여품목 3296
80.5%
비급여품목 800
 
19.5%

Length

2023-12-13T08:13:45.923753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:13:46.054914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
급여품목 3296
80.5%
비급여품목 800
 
19.5%

성분명
Text

Distinct203
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
2023-12-13T08:13:46.339180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length271
Median length98
Mean length26.637207
Min length7

Characters and Unicode

Total characters109106
Distinct characters66
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)0.8%

Sample

1st rowacamprosate
2nd rowacamprosate
3rd rowacarbose
4th rowacarbose
5th rowacetaminophen(encapsulated)
ValueCountFrequency (%)
hydrochloride 1058
 
10.2%
as 720
 
7.0%
sildenafil 336
 
3.3%
tadalafil 318
 
3.1%
acetaminophen,tramadol 310
 
3.0%
ciprofloxacin 225
 
2.2%
dihydrochloride 220
 
2.1%
thistle 201
 
1.9%
fruit 201
 
1.9%
fentanyl 179
 
1.7%
Other values (290) 6556
63.5%
2023-12-13T08:13:46.880130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 10101
 
9.3%
i 10069
 
9.2%
a 9547
 
8.8%
o 8750
 
8.0%
r 7035
 
6.4%
l 6874
 
6.3%
t 6856
 
6.3%
6291
 
5.8%
n 6139
 
5.6%
d 6072
 
5.6%
Other values (56) 31372
28.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 98239
90.0%
Space Separator 6291
 
5.8%
Other Punctuation 1244
 
1.1%
Uppercase Letter 1167
 
1.1%
Open Punctuation 942
 
0.9%
Close Punctuation 942
 
0.9%
Dash Punctuation 197
 
0.2%
Other Letter 43
 
< 0.1%
Decimal Number 32
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 10101
10.3%
i 10069
10.2%
a 9547
9.7%
o 8750
 
8.9%
r 7035
 
7.2%
l 6874
 
7.0%
t 6856
 
7.0%
n 6139
 
6.2%
d 6072
 
6.2%
c 4744
 
4.8%
Other values (16) 22052
22.4%
Uppercase Letter
ValueCountFrequency (%)
D 207
17.7%
C 150
12.9%
T 124
10.6%
M 123
10.5%
E 120
10.3%
L 98
8.4%
P 84
7.2%
F 76
 
6.5%
N 58
 
5.0%
I 39
 
3.3%
Other values (9) 88
7.5%
Decimal Number
ValueCountFrequency (%)
3 20
62.5%
1 6
 
18.8%
7 2
 
6.2%
6 1
 
3.1%
9 1
 
3.1%
5 1
 
3.1%
0 1
 
3.1%
Other Letter
ValueCountFrequency (%)
서 9
20.9%
방 9
20.9%
형 9
20.9%
제 8
18.6%
유 4
9.3%
함 4
9.3%
Other Punctuation
ValueCountFrequency (%)
, 998
80.2%
. 246
 
19.8%
Space Separator
ValueCountFrequency (%)
6291
100.0%
Open Punctuation
ValueCountFrequency (%)
( 942
100.0%
Close Punctuation
ValueCountFrequency (%)
) 942
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 197
100.0%
Math Symbol
ValueCountFrequency (%)
+ 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 99390
91.1%
Common 9655
 
8.8%
Hangul 43
 
< 0.1%
Greek 18
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 10101
10.2%
i 10069
10.1%
a 9547
9.6%
o 8750
 
8.8%
r 7035
 
7.1%
l 6874
 
6.9%
t 6856
 
6.9%
n 6139
 
6.2%
d 6072
 
6.1%
c 4744
 
4.8%
Other values (35) 23203
23.3%
Common
ValueCountFrequency (%)
6291
65.2%
, 998
 
10.3%
( 942
 
9.8%
) 942
 
9.8%
. 246
 
2.5%
- 197
 
2.0%
3 20
 
0.2%
+ 7
 
0.1%
1 6
 
0.1%
7 2
 
< 0.1%
Other values (4) 4
 
< 0.1%
Hangul
ValueCountFrequency (%)
서 9
20.9%
방 9
20.9%
형 9
20.9%
제 8
18.6%
유 4
9.3%
함 4
9.3%
Greek
ValueCountFrequency (%)
β 18
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 109043
99.9%
Hangul 43
 
< 0.1%
None 18
 
< 0.1%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 10101
 
9.3%
i 10069
 
9.2%
a 9547
 
8.8%
o 8750
 
8.0%
r 7035
 
6.5%
l 6874
 
6.3%
t 6856
 
6.3%
6291
 
5.8%
n 6139
 
5.6%
d 6072
 
5.6%
Other values (48) 31309
28.7%
None
ValueCountFrequency (%)
β 18
100.0%
Hangul
ValueCountFrequency (%)
서 9
20.9%
방 9
20.9%
형 9
20.9%
제 8
18.6%
유 4
9.3%
함 4
9.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

성분코드
Text

Distinct567
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
2023-12-13T08:13:47.226880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters36864
Distinct characters29
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194 ?
Unique (%)4.7%

Sample

1st row100501ATE
2nd row100501ATE
3rd row100601ATB
4th row100602ATB
5th row101404ATR
ValueCountFrequency (%)
513000atb 124
 
3.0%
480600atb 113
 
2.8%
123907acs 112
 
2.7%
241803atb 96
 
2.3%
560702atb 96
 
2.3%
189701ach 95
 
2.3%
560701atb 92
 
2.2%
463601atb 87
 
2.1%
104303atb 84
 
2.1%
553304atb 84
 
2.1%
Other values (557) 3113
76.0%
2023-12-13T08:13:47.681366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5423
14.7%
1 4011
10.9%
3 3661
9.9%
A 3063
 
8.3%
B 2438
 
6.6%
T 2336
 
6.3%
5 2211
 
6.0%
2 2112
 
5.7%
4 2008
 
5.4%
6 1668
 
4.5%
Other values (19) 7933
21.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24544
66.6%
Uppercase Letter 12320
33.4%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 3063
24.9%
B 2438
19.8%
T 2336
19.0%
C 1410
11.4%
I 559
 
4.5%
S 520
 
4.2%
J 459
 
3.7%
M 265
 
2.2%
H 199
 
1.6%
L 197
 
1.6%
Other values (9) 874
 
7.1%
Decimal Number
ValueCountFrequency (%)
0 5423
22.1%
1 4011
16.3%
3 3661
14.9%
5 2211
9.0%
2 2112
 
8.6%
4 2008
 
8.2%
6 1668
 
6.8%
8 1261
 
5.1%
7 1210
 
4.9%
9 979
 
4.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24544
66.6%
Latin 12320
33.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 3063
24.9%
B 2438
19.8%
T 2336
19.0%
C 1410
11.4%
I 559
 
4.5%
S 520
 
4.2%
J 459
 
3.7%
M 265
 
2.2%
H 199
 
1.6%
L 197
 
1.6%
Other values (9) 874
 
7.1%
Common
ValueCountFrequency (%)
0 5423
22.1%
1 4011
16.3%
3 3661
14.9%
5 2211
9.0%
2 2112
 
8.6%
4 2008
 
8.2%
6 1668
 
6.8%
8 1261
 
5.1%
7 1210
 
4.9%
9 979
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36864
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5423
14.7%
1 4011
10.9%
3 3661
9.9%
A 3063
 
8.3%
B 2438
 
6.6%
T 2336
 
6.3%
5 2211
 
6.0%
2 2112
 
5.7%
4 2008
 
5.4%
6 1668
 
4.5%
Other values (19) 7933
21.5%

제품코드
Real number (ℝ)

Distinct3225
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.184047 × 108
Minimum51600171
Maximum6.9990362 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2023-12-13T08:13:47.873594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51600171
5-th percentile60275198
Q16.4330092 × 108
median6.4940267 × 108
Q36.6070043 × 108
95-th percentile6.8900123 × 108
Maximum6.9990362 × 108
Range6.4830345 × 108
Interquartile range (IQR)17399505

Descriptive statistics

Standard deviation1.4274865 × 108
Coefficient of variation (CV)0.23083371
Kurtosis11.354181
Mean6.184047 × 108
Median Absolute Deviation (MAD)7300174.5
Skewness-3.6259734
Sum2.5329857 × 1012
Variance2.0377178 × 1016
MonotonicityNot monotonic
2023-12-13T08:13:48.044158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
669904501 4
 
0.1%
641806060 4
 
0.1%
669905551 4
 
0.1%
642003030 2
 
< 0.1%
642004520 2
 
< 0.1%
54300550 2
 
< 0.1%
657503480 2
 
< 0.1%
625200940 2
 
< 0.1%
654300730 2
 
< 0.1%
629700771 2
 
< 0.1%
Other values (3215) 4070
99.4%
ValueCountFrequency (%)
51600171 2
< 0.1%
51600261 2
< 0.1%
52100140 1
< 0.1%
52400490 1
< 0.1%
52400500 1
< 0.1%
52400540 1
< 0.1%
52400660 2
< 0.1%
52401310 2
< 0.1%
52401810 1
< 0.1%
52401880 1
< 0.1%
ValueCountFrequency (%)
699903620 1
< 0.1%
699903600 1
< 0.1%
699903170 2
< 0.1%
699903080 1
< 0.1%
699800410 1
< 0.1%
698504620 2
< 0.1%
698504050 1
< 0.1%
698503530 1
< 0.1%
698503291 1
< 0.1%
698503180 1
< 0.1%

제품명
Text

Distinct3926
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
2023-12-13T08:13:48.368153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length127
Median length76
Mean length26.982422
Min length4

Characters and Unicode

Total characters110520
Distinct characters529
Distinct categories13 ?
Distinct scripts5 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3758 ?
Unique (%)91.7%

Sample

1st row명인아캄프로세이트정333mg(아캄프로세이트칼슘)_(0.333g/1정)
2nd row환인아캄프로세이트정(아캄프로세이트칼슘)_(0.333g/1정)
3rd row글루코바이정100밀리그람(아카보즈)_(0.1g/1정)
4th row글루코바이정50밀리그람(아카보즈)_(50mg/1정)
5th row타세놀8시간이알서방정325밀리그램(아세트아미노펜)_(0.325g/1정)
ValueCountFrequency (%)
1정 437
 
8.7%
1캡슐 84
 
1.7%
1장 53
 
1.1%
1매 39
 
0.8%
10ml 13
 
0.3%
1ml 9
 
0.2%
2ml 7
 
0.1%
50g 7
 
0.1%
1포 7
 
0.1%
7
 
0.1%
Other values (4061) 4335
86.7%
2023-12-13T08:13:48.858579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 7361
 
6.7%
) 7360
 
6.7%
1 5236
 
4.7%
0 4748
 
4.3%
정 4410
 
4.0%
_ 3954
 
3.6%
g 3881
 
3.5%
m 3015
 
2.7%
5 2845
 
2.6%
/ 2714
 
2.5%
Other values (519) 64996
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58273
52.7%
Decimal Number 17943
 
16.2%
Lowercase Letter 7800
 
7.1%
Open Punctuation 7367
 
6.7%
Close Punctuation 7366
 
6.7%
Other Punctuation 5181
 
4.7%
Connector Punctuation 3954
 
3.6%
Uppercase Letter 1589
 
1.4%
Space Separator 902
 
0.8%
Other Symbol 81
 
0.1%
Other values (3) 64
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 4410
 
7.6%
리 2078
 
3.6%
염 1958
 
3.4%
타 1463
 
2.5%
라 1445
 
2.5%
트 1396
 
2.4%
산 1394
 
2.4%
밀 1350
 
2.3%
그 1339
 
2.3%
스 1270
 
2.2%
Other values (441) 40170
68.9%
Lowercase Letter
ValueCountFrequency (%)
g 3881
49.8%
m 3015
38.7%
n 92
 
1.2%
a 85
 
1.1%
e 79
 
1.0%
o 78
 
1.0%
l 78
 
1.0%
i 73
 
0.9%
r 50
 
0.6%
t 49
 
0.6%
Other values (16) 320
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
L 717
45.1%
X 94
 
5.9%
I 77
 
4.8%
E 74
 
4.7%
O 73
 
4.6%
A 64
 
4.0%
C 60
 
3.8%
P 55
 
3.5%
T 54
 
3.4%
N 47
 
3.0%
Other values (15) 274
 
17.2%
Decimal Number
ValueCountFrequency (%)
1 5236
29.2%
0 4748
26.5%
5 2845
15.9%
2 1773
 
9.9%
3 1038
 
5.8%
7 776
 
4.3%
4 745
 
4.2%
6 385
 
2.1%
8 238
 
1.3%
9 159
 
0.9%
Other Punctuation
ValueCountFrequency (%)
/ 2714
52.4%
. 2121
40.9%
: 141
 
2.7%
% 128
 
2.5%
, 77
 
1.5%
Other Symbol
ValueCountFrequency (%)
㎠ 68
84.0%
㎍ 11
 
13.6%
㎎ 2
 
2.5%
Open Punctuation
ValueCountFrequency (%)
( 7361
99.9%
[ 6
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 7360
99.9%
] 6
 
0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 3954
100.0%
Space Separator
ValueCountFrequency (%)
902
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Math Symbol
ValueCountFrequency (%)
× 2
100.0%
Other Number
ValueCountFrequency (%)
½ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58269
52.7%
Common 42858
38.8%
Latin 9357
 
8.5%
Greek 32
 
< 0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 4410
 
7.6%
리 2078
 
3.6%
염 1958
 
3.4%
타 1463
 
2.5%
라 1445
 
2.5%
트 1396
 
2.4%
산 1394
 
2.4%
밀 1350
 
2.3%
그 1339
 
2.3%
스 1270
 
2.2%
Other values (439) 40166
68.9%
Latin
ValueCountFrequency (%)
g 3881
41.5%
m 3015
32.2%
L 717
 
7.7%
X 94
 
1.0%
n 92
 
1.0%
a 85
 
0.9%
e 79
 
0.8%
o 78
 
0.8%
l 78
 
0.8%
I 77
 
0.8%
Other values (39) 1161
 
12.4%
Common
ValueCountFrequency (%)
( 7361
17.2%
) 7360
17.2%
1 5236
12.2%
0 4748
11.1%
_ 3954
9.2%
5 2845
 
6.6%
/ 2714
 
6.3%
. 2121
 
4.9%
2 1773
 
4.1%
3 1038
 
2.4%
Other values (17) 3708
8.7%
Greek
ValueCountFrequency (%)
μ 20
62.5%
β 12
37.5%
Han
ValueCountFrequency (%)
建 2
50.0%
關 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58267
52.7%
ASCII 52131
47.2%
CJK Compat 81
 
0.1%
None 35
 
< 0.1%
CJK 4
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 7361
14.1%
) 7360
14.1%
1 5236
10.0%
0 4748
9.1%
_ 3954
7.6%
g 3881
7.4%
m 3015
 
5.8%
5 2845
 
5.5%
/ 2714
 
5.2%
. 2121
 
4.1%
Other values (61) 8896
17.1%
Hangul
ValueCountFrequency (%)
정 4410
 
7.6%
리 2078
 
3.6%
염 1958
 
3.4%
타 1463
 
2.5%
라 1445
 
2.5%
트 1396
 
2.4%
산 1394
 
2.4%
밀 1350
 
2.3%
그 1339
 
2.3%
스 1270
 
2.2%
Other values (438) 40164
68.9%
CJK Compat
ValueCountFrequency (%)
㎠ 68
84.0%
㎍ 11
 
13.6%
㎎ 2
 
2.5%
None
ValueCountFrequency (%)
μ 20
57.1%
β 12
34.3%
× 2
 
5.7%
½ 1
 
2.9%
CJK
ValueCountFrequency (%)
建 2
50.0%
關 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

업체명
Text

Distinct262
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
2023-12-13T08:13:49.187145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length7
Mean length7.9470215
Min length4

Characters and Unicode

Total characters32551
Distinct characters218
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)0.8%

Sample

1st row명인제약(주)
2nd row환인제약(주)
3rd row(주)한독
4th row(주)한독
5th row부광약품(주)
ValueCountFrequency (%)
태극제약(주 69
 
1.7%
주)대웅제약 66
 
1.6%
하나제약(주 62
 
1.5%
대원제약(주 60
 
1.4%
명인제약(주 59
 
1.4%
주식회사제뉴원사이언스 55
 
1.3%
주)동구바이오제약 54
 
1.3%
일동제약(주 54
 
1.3%
주식회사 53
 
1.3%
더유제약 51
 
1.2%
Other values (252) 3566
85.9%
2023-12-13T08:13:49.701191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4080
 
12.5%
( 3898
 
12.0%
) 3898
 
12.0%
약 2735
 
8.4%
제 2500
 
7.7%
이 867
 
2.7%
스 759
 
2.3%
한 742
 
2.3%
국 551
 
1.7%
품 380
 
1.2%
Other values (208) 12141
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24694
75.9%
Open Punctuation 3898
 
12.0%
Close Punctuation 3898
 
12.0%
Space Separator 56
 
0.2%
Other Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4080
 
16.5%
약 2735
 
11.1%
제 2500
 
10.1%
이 867
 
3.5%
스 759
 
3.1%
한 742
 
3.0%
국 551
 
2.2%
품 380
 
1.5%
동 363
 
1.5%
오 357
 
1.4%
Other values (204) 11360
46.0%
Open Punctuation
ValueCountFrequency (%)
( 3898
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3898
100.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24699
75.9%
Common 7852
 
24.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4080
 
16.5%
약 2735
 
11.1%
제 2500
 
10.1%
이 867
 
3.5%
스 759
 
3.1%
한 742
 
3.0%
국 551
 
2.2%
품 380
 
1.5%
동 363
 
1.5%
오 357
 
1.4%
Other values (205) 11365
46.0%
Common
ValueCountFrequency (%)
( 3898
49.6%
) 3898
49.6%
56
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24694
75.9%
ASCII 7852
 
24.1%
None 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4080
 
16.5%
약 2735
 
11.1%
제 2500
 
10.1%
이 867
 
3.5%
스 759
 
3.1%
한 742
 
3.0%
국 551
 
2.2%
품 380
 
1.5%
동 363
 
1.5%
오 357
 
1.4%
Other values (204) 11360
46.0%
ASCII
ValueCountFrequency (%)
( 3898
49.6%
) 3898
49.6%
56
 
0.7%
None
ValueCountFrequency (%)
㈜ 5
100.0%

특정연령
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.999756
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2023-12-13T08:13:49.860176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median13
Q318
95-th percentile24
Maximum80
Range79
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.9754107
Coefficient of variation (CV)0.69042918
Kurtosis19.093259
Mean12.999756
Median Absolute Deviation (MAD)5
Skewness2.7948649
Sum53247
Variance80.557997
MonotonicityNot monotonic
2023-12-13T08:13:50.030852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
18 1346
32.9%
12 806
19.7%
2 525
 
12.8%
15 312
 
7.6%
6 297
 
7.3%
3 176
 
4.3%
16 150
 
3.7%
24 136
 
3.3%
1 101
 
2.5%
4 75
 
1.8%
Other values (13) 172
 
4.2%
ValueCountFrequency (%)
1 101
 
2.5%
2 525
12.8%
3 176
 
4.3%
4 75
 
1.8%
5 19
 
0.5%
6 297
 
7.3%
7 14
 
0.3%
8 5
 
0.1%
10 1
 
< 0.1%
12 806
19.7%
ValueCountFrequency (%)
80 24
 
0.6%
75 2
 
< 0.1%
65 6
 
0.1%
36 48
 
1.2%
25 6
 
0.1%
24 136
 
3.3%
20 5
 
0.1%
19 2
 
< 0.1%
18 1346
32.9%
16 150
 
3.7%

특정연령단위-1
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
세 (3)
3608 
개월 (2)
415 
주 (1)
 
73

Length

Max length6
Median length5
Mean length5.1013184
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row세 (3)
2nd row세 (3)
3rd row세 (3)
4th row세 (3)
5th row세 (3)

Common Values

ValueCountFrequency (%)
세 (3) 3608
88.1%
개월 (2) 415
 
10.1%
주 (1) 73
 
1.8%

Length

2023-12-13T08:13:50.189010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:13:50.303409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
세 3608
44.0%
3 3608
44.0%
개월 415
 
5.1%
2 415
 
5.1%
주 73
 
0.9%
1 73
 
0.9%

특정연령단위-2
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
미만 (1)
2657 
이하 (2)
1407 
이상 (4)
 
32

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이상 (4)
2nd row이상 (4)
3rd row이하 (2)
4th row이하 (2)
5th row미만 (1)

Common Values

ValueCountFrequency (%)
미만 (1) 2657
64.9%
이하 (2) 1407
34.4%
이상 (4) 32
 
0.8%

Length

2023-12-13T08:13:50.454433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:13:50.580163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미만 2657
32.4%
1 2657
32.4%
이하 1407
17.2%
2 1407
17.2%
이상 32
 
0.4%
4 32
 
0.4%

고시번호
Real number (ℝ)

SKEWED 

Distinct30
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20112576
Minimum2009300
Maximum20220087
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size36.1 KiB
2023-12-13T08:13:50.714361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2009300
5-th percentile20050017
Q120090300
median20090300
Q320170086
95-th percentile20200130
Maximum20220087
Range18210787
Interquartile range (IQR)79786

Descriptive statistics

Standard deviation403014.83
Coefficient of variation (CV)0.020037952
Kurtosis1988.3914
Mean20112576
Median Absolute Deviation (MAD)20270
Skewness-44.287472
Sum8.238111 × 1010
Variance1.6242095 × 1011
MonotonicityNot monotonic
2023-12-13T08:13:50.831323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20090300 1559
38.1%
20190041 393
 
9.6%
20130047 352
 
8.6%
20160155 254
 
6.2%
20200130 229
 
5.6%
20110227 222
 
5.4%
20040002 194
 
4.7%
20180088 182
 
4.4%
20070030 132
 
3.2%
20170086 107
 
2.6%
Other values (20) 472
 
11.5%
ValueCountFrequency (%)
2009300 2
 
< 0.1%
20040002 194
 
4.7%
20050017 76
 
1.9%
20070030 132
 
3.2%
20070068 26
 
0.6%
20080090 103
 
2.5%
20090300 1559
38.1%
20100246 2
 
< 0.1%
20100278 4
 
0.1%
20110009 3
 
0.1%
ValueCountFrequency (%)
20220087 30
 
0.7%
20220049 27
 
0.7%
20220023 2
 
< 0.1%
20210106 3
 
0.1%
20210072 21
 
0.5%
20200130 229
5.6%
20190131 34
 
0.8%
20190041 393
9.6%
20180088 182
4.4%
20170086 107
 
2.6%

고시일자
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size32.1 KiB
2009-12-03
1561 
2019-05-22
393 
2013-02-25
352 
2016-12-30
254 
2020-12-28
229 
Other values (25)
1307 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row2019-05-22
2nd row2019-05-22
3rd row2009-12-03
4th row2009-12-03
5th row2005-03-09

Common Values

ValueCountFrequency (%)
2009-12-03 1561
38.1%
2019-05-22 393
 
9.6%
2013-02-25 352
 
8.6%
2016-12-30 254
 
6.2%
2020-12-28 229
 
5.6%
2011-11-24 222
 
5.4%
2004-01-16 194
 
4.7%
2018-11-02 179
 
4.4%
2007-04-11 158
 
3.9%
2017-11-06 107
 
2.6%
Other values (20) 447
 
10.9%

Length

2023-12-13T08:13:50.959781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2009-12-03 1561
38.1%
2019-05-22 393
 
9.6%
2013-02-25 352
 
8.6%
2016-12-30 254
 
6.2%
2020-12-28 229
 
5.6%
2011-11-24 222
 
5.4%
2004-01-16 194
 
4.7%
2018-11-02 179
 
4.4%
2007-04-11 158
 
3.9%
2017-11-06 107
 
2.6%
Other values (20) 447
 
10.9%

상세정보
Text

MISSING 

Distinct89
Distinct (%)3.0%
Missing1098
Missing (%)26.8%
Memory size32.1 KiB
2023-12-13T08:13:51.184138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length159
Median length133
Mean length40.257839
Min length11

Characters and Unicode

Total characters120693
Distinct characters394
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)0.6%

Sample

1st row65세 이상에서 안전성 및 유효성 미확립. 연령이 높아질수록 신장기능이 저하되어 이 약이 축적될 수 있음.
2nd row65세 이상에서 안전성 및 유효성 미확립. 연령이 높아질수록 신장기능이 저하되어 이 약이 축적될 수 있음.
3rd row안전성 및 유효성 미확립
4th row안전성 및 유효성 미확립
5th row소아 및 고령자(노인)는 최소 필요량을 복용하고 이상반응에 유의. 과도한 체온강하, 허탈, 사지냉각 등이 나타날 수 있음
ValueCountFrequency (%)
및 2271
 
7.8%
안전성 1632
 
5.6%
미확립 1618
 
5.5%
유효성 1571
 
5.4%
억제 526
 
1.8%
소아에서 463
 
1.6%
치명적인 418
 
1.4%
사망 407
 
1.4%
발생 382
 
1.3%
어린 380
 
1.3%
Other values (553) 19618
67.0%
2023-12-13T08:13:51.585195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26292
 
21.8%
성 3727
 
3.1%
에 2797
 
2.3%
및 2271
 
1.9%
미 2177
 
1.8%
유 2135
 
1.8%
전 1969
 
1.6%
아 1802
 
1.5%
안 1704
 
1.4%
, 1702
 
1.4%
Other values (384) 74117
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86933
72.0%
Space Separator 26292
 
21.8%
Other Punctuation 3072
 
2.5%
Decimal Number 1226
 
1.0%
Lowercase Letter 1160
 
1.0%
Uppercase Letter 567
 
0.5%
Close Punctuation 523
 
0.4%
Open Punctuation 523
 
0.4%
Dash Punctuation 304
 
0.3%
Math Symbol 80
 
0.1%
Other values (3) 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 3727
 
4.3%
에 2797
 
3.2%
및 2271
 
2.6%
미 2177
 
2.5%
유 2135
 
2.5%
전 1969
 
2.3%
아 1802
 
2.1%
안 1704
 
2.0%
이 1661
 
1.9%
립 1625
 
1.9%
Other values (327) 65065
74.8%
Lowercase Letter
ValueCountFrequency (%)
i 158
13.6%
a 149
12.8%
t 94
 
8.1%
o 92
 
7.9%
c 85
 
7.3%
l 66
 
5.7%
e 66
 
5.7%
n 64
 
5.5%
r 64
 
5.5%
u 54
 
4.7%
Other values (11) 268
23.1%
Uppercase Letter
ValueCountFrequency (%)
A 135
23.8%
P 120
21.2%
H 119
21.0%
L 74
13.1%
D 60
10.6%
F 14
 
2.5%
M 12
 
2.1%
S 11
 
1.9%
N 10
 
1.8%
C 7
 
1.2%
Other values (3) 5
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 430
35.1%
2 253
20.6%
7 192
15.7%
6 142
 
11.6%
8 92
 
7.5%
3 55
 
4.5%
5 50
 
4.1%
4 10
 
0.8%
0 2
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 1702
55.4%
. 1330
43.3%
% 32
 
1.0%
: 4
 
0.1%
· 3
 
0.1%
※ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
26292
100.0%
Close Punctuation
ValueCountFrequency (%)
) 523
100.0%
Open Punctuation
ValueCountFrequency (%)
( 523
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 304
100.0%
Math Symbol
ValueCountFrequency (%)
~ 80
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 9
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Other Symbol
ValueCountFrequency (%)
★ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86931
72.0%
Common 32033
 
26.5%
Latin 1727
 
1.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 3727
 
4.3%
에 2797
 
3.2%
및 2271
 
2.6%
미 2177
 
2.5%
유 2135
 
2.5%
전 1969
 
2.3%
아 1802
 
2.1%
안 1704
 
2.0%
이 1661
 
1.9%
립 1625
 
1.9%
Other values (325) 65063
74.8%
Latin
ValueCountFrequency (%)
i 158
 
9.1%
a 149
 
8.6%
A 135
 
7.8%
P 120
 
6.9%
H 119
 
6.9%
t 94
 
5.4%
o 92
 
5.3%
c 85
 
4.9%
L 74
 
4.3%
l 66
 
3.8%
Other values (24) 635
36.8%
Common
ValueCountFrequency (%)
26292
82.1%
, 1702
 
5.3%
. 1330
 
4.2%
) 523
 
1.6%
( 523
 
1.6%
1 430
 
1.3%
- 304
 
0.9%
2 253
 
0.8%
7 192
 
0.6%
6 142
 
0.4%
Other values (13) 342
 
1.1%
Han
ValueCountFrequency (%)
腺 1
50.0%
性 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86931
72.0%
ASCII 33743
 
28.0%
Punctuation 12
 
< 0.1%
None 3
 
< 0.1%
Misc Symbols 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26292
77.9%
, 1702
 
5.0%
. 1330
 
3.9%
) 523
 
1.5%
( 523
 
1.5%
1 430
 
1.3%
- 304
 
0.9%
2 253
 
0.7%
7 192
 
0.6%
i 158
 
0.5%
Other values (42) 2036
 
6.0%
Hangul
ValueCountFrequency (%)
성 3727
 
4.3%
에 2797
 
3.2%
및 2271
 
2.6%
미 2177
 
2.5%
유 2135
 
2.5%
전 1969
 
2.3%
아 1802
 
2.1%
안 1704
 
2.0%
이 1661
 
1.9%
립 1625
 
1.9%
Other values (325) 65063
74.8%
Punctuation
ValueCountFrequency (%)
‘ 9
75.0%
’ 2
 
16.7%
※ 1
 
8.3%
None
ValueCountFrequency (%)
· 3
100.0%
Misc Symbols
ValueCountFrequency (%)
★ 2
100.0%
CJK
ValueCountFrequency (%)
腺 1
50.0%
性 1
50.0%

Interactions

2023-12-13T08:13:44.799776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:13:44.145447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:13:44.439458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:13:44.923483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:13:44.236755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:13:44.549180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:13:45.026788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:13:44.333475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:13:44.652517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:13:51.679541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분제품코드특정연령특정연령단위-1특정연령단위-2고시번호고시일자상세정보
구분1.0000.0140.0250.0390.040NaN0.3950.510
제품코드0.0141.0000.0440.1260.035NaN0.1850.222
특정연령0.0250.0441.0000.4200.777NaN0.7650.995
특정연령단위-10.0390.1260.4201.0000.230NaN0.8600.997
특정연령단위-20.0400.0350.7770.2301.000NaN0.7820.979
고시번호NaNNaNNaNNaNNaN1.000NaNNaN
고시일자0.3950.1850.7650.8600.782NaN1.0000.996
상세정보0.5100.2220.9950.9970.979NaN0.9961.000
2023-12-13T08:13:51.806166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분특정연령단위-1고시일자특정연령단위-2
구분1.0000.0650.3130.067
특정연령단위-10.0651.0000.6210.073
고시일자0.3130.6211.0000.522
특정연령단위-20.0670.0730.5221.000
2023-12-13T08:13:51.898928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제품코드특정연령고시번호구분특정연령단위-1특정연령단위-2고시일자
제품코드1.000-0.006-0.0140.0250.0380.0110.087
특정연령-0.0061.0000.0320.0270.3110.7190.448
고시번호-0.0140.0321.0000.0000.0000.0000.000
구분0.0250.0270.0001.0000.0650.0670.313
특정연령단위-10.0380.3110.0000.0651.0000.0730.621
특정연령단위-20.0110.7190.0000.0670.0731.0000.522
고시일자0.0870.4480.0000.3130.6210.5221.000

Missing values

2023-12-13T08:13:45.535425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:13:45.745648image/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

구분성분명성분코드제품코드제품명업체명특정연령특정연령단위-1특정연령단위-2고시번호고시일자상세정보
0급여품목acamprosate100501ATE651904740명인아캄프로세이트정333mg(아캄프로세이트칼슘)_(0.333g/1정)명인제약(주)65세 (3)이상 (4)201900412019-05-2265세 이상에서 안전성 및 유효성 미확립. 연령이 높아질수록 신장기능이 저하되어 이 약이 축적될 수 있음.
1급여품목acamprosate100501ATE657201040환인아캄프로세이트정(아캄프로세이트칼슘)_(0.333g/1정)환인제약(주)65세 (3)이상 (4)201900412019-05-2265세 이상에서 안전성 및 유효성 미확립. 연령이 높아질수록 신장기능이 저하되어 이 약이 축적될 수 있음.
2급여품목acarbose100601ATB652100060글루코바이정100밀리그람(아카보즈)_(0.1g/1정)(주)한독18세 (3)이하 (2)200903002009-12-03안전성 및 유효성 미확립
3급여품목acarbose100602ATB652100050글루코바이정50밀리그람(아카보즈)_(50mg/1정)(주)한독18세 (3)이하 (2)200903002009-12-03안전성 및 유효성 미확립
4급여품목acetaminophen(encapsulated)101404ATR642204320타세놀8시간이알서방정325밀리그램(아세트아미노펜)_(0.325g/1정)부광약품(주)12세 (3)미만 (1)200500172005-03-09소아 및 고령자(노인)는 최소 필요량을 복용하고 이상반응에 유의. 과도한 체온강하, 허탈, 사지냉각 등이 나타날 수 있음
5급여품목acetaminophen(encapsulated)101430ATR622803650아세트엠8시간이알서방정650밀리그램(아세트아미노펜)_(0.65g/1정)(주)마더스제약12세 (3)미만 (1)200500172005-03-09소아 및 고령자(노인)는 최소 필요량을 복용하고 이상반응에 유의. 과도한 체온강하, 허탈, 사지냉각 등이 나타날 수 있음
6급여품목acetaminophen(encapsulated)101430ATR628801440타이레펜8시간이알서방정650밀리그램(아세트아미노펜)_(0.65g/1정)(주)휴비스트제약12세 (3)미만 (1)200500172005-03-09소아 및 고령자(노인)는 최소 필요량을 복용하고 이상반응에 유의. 과도한 체온강하, 허탈, 사지냉각 등이 나타날 수 있음
7급여품목acetaminophen(encapsulated)101430ATR642202200타세놀8시간이알서방정(아세트아미노펜)_(0.65g/1정)부광약품(주)12세 (3)미만 (1)200500172005-03-09소아 및 고령자(노인)는 최소 필요량을 복용하고 이상반응에 유의. 과도한 체온강하, 허탈, 사지냉각 등이 나타날 수 있음
8급여품목acetaminophen(encapsulated)101430ATR643306670펜잘8시간이알서방정(아세트아미노펜)_(0.65g/1정)(주)종근당12세 (3)미만 (1)200500172005-03-09소아 및 고령자(노인)는 최소 필요량을 복용하고 이상반응에 유의. 과도한 체온강하, 허탈, 사지냉각 등이 나타날 수 있음
9급여품목acetaminophen(encapsulated)101430ATR643501510써스펜8시간이알서방정650밀리그램(아세트아미노펜)_(0.65g/1정)한미약품(주)12세 (3)미만 (1)200500172005-03-09소아 및 고령자(노인)는 최소 필요량을 복용하고 이상반응에 유의. 과도한 체온강하, 허탈, 사지냉각 등이 나타날 수 있음
구분성분명성분코드제품코드제품명업체명특정연령특정연령단위-1특정연령단위-2고시번호고시일자상세정보
4086비급여품목cholecalciferol concentrated powder (as vitamin D3)D07903ATB641502450팩타민디쓰리정25000아이유(콜레칼시페롤농축분말)_(0.25mg/1정)맥널티제약(주)3개월 (2)미만 (1)201800882018-11-02<NA>
4087비급여품목cholecalciferol concentrated powder (as vitamin D3)D07903ATB659901270메가디쓰리정25000아이유(콜레칼시페롤농축분말)_(0.25mg/1정)(주)한국팜비오3개월 (2)미만 (1)201800882018-11-02<NA>
4088비급여품목cholecalciferol concentrated powder (as vitamin D3)D07904ATB664602170디맥정7000아이유(농축콜레칼시페롤과립)_(70mg/1정)(주)다림바이오텍3개월 (2)미만 (1)201800882018-11-02<NA>
4089비급여품목cholecalciferol concentrated powder (as vitamin D3)D07905ATB664602180디맥정30000아이유(농축콜레칼시페롤과립)_(0.3g/1정)(주)다림바이오텍3개월 (2)미만 (1)201800882018-11-02<NA>
4090비급여품목cholecalciferol concentrated powder (as vitamin D3)D07906ATB679700450비코레드정22400아이유(콜레칼시페롤농축분말)_(0.224g/1정)리퓨어헬스케어(주)3개월 (2)미만 (1)201700862017-11-06<NA>
4091비급여품목Pulvis Cinnamomi Corticis(Cinnamon Bark Powder), Pulvis Gentianae Luteae Radicis et Rhizomatis(Gentian Powder), Hydrotalcite, Sodium bicarbonateD08300ATB661904060스리날-에스정_(1정)영풍제약(주)15세 (3)미만 (1)202001302020-12-28<NA>
4092비급여품목Aluminium hydroxide, Benfotiamine, Pulvis Syzygii Flos(Clove Powder), Licorice Extract Powder, Pulvis Curcumae Radicis(Curcuma Root Powder), Fennel, Pulvis Ginseng Radicis, Hydrotalcite, Magnesium hydroxide, Methylmethionine sulfonium chloride, Zingiberis Rhizoma RecensD30500AGN623900061카베2코와과립_(13g)한국코와(주)15세 (3)미만 (1)202001302020-12-28<NA>
4093비급여품목Tipiracil, TrifluridineE22500ATB645405620론서프정20_(1정)제일약품(주)18세 (3)이하 (2)202001302020-12-28소아에 대한 안전성 및 유효성 미확립, 동물실험(랫트)에서 지속적으로 성장하는 전치에 대한 영향 보고
4094비급여품목Tipiracil, TrifluridineE22600ATB645405630론서프정15_(1정)제일약품(주)18세 (3)이하 (2)202001302020-12-28소아에 대한 안전성 및 유효성 미확립, 동물실험(랫트)에서 지속적으로 성장하는 전치에 대한 영향 보고
4095비급여품목berberine tannate + kaolin + pectinE47600ASY642902551후라베린큐시럽_(90mL)일동제약(주)19세 (3)미만 (1)202001302020-12-28<NA>

Duplicate rows

Most frequently occurring

구분성분명성분코드제품코드제품명업체명특정연령특정연령단위-1특정연령단위-2고시번호고시일자상세정보# duplicates
0급여품목DL-methylephedrine hydrochloride, chlorpheniramine maleate, dihydrocodeine tartrate, guaifenesin532700ASY645701142코데날액_(500mL)삼아제약(주)12세 (3)미만 (1)201800882018-11-0212세 미만 소아는 호흡억제 감수성이 큼. 12세 미만 소아에서 사망을 포함하는 중증 호흡억제 위험이 크다는 국외 보고 있음.2
1급여품목DL-methylephedrine hydrochloride, chlorpheniramine maleate, dihydrocodeine tartrate, guaifenesin532700ASY671802901코대원시럽_(500mL)대원제약(주)12세 (3)미만 (1)201800882018-11-0212세 미만 소아는 호흡억제 감수성이 큼. 12세 미만 소아에서 사망을 포함하는 중증 호흡억제 위험이 크다는 국외 보고 있음.2
2급여품목Rifampicin, Isoniazid, Pyrazinamide, Ethambutol519500ATB653102670튜비스정_(1정)(주)비씨월드제약8세 (3)미만 (1)202101062021-12-16흡인 위험과 Ethambutol로 인한 시력 변화 평가가 어려울 수 있음2
3급여품목acetaminophen,tramadol hydrochloride480600ATB646902640울트라셋세미정_(1정)(주)한국얀센12세 (3)미만 (1)201900412019-05-22소아에서 생명에 치명적인 호흡 억제 및 사망 발생2
4급여품목acetaminophen,tramadol hydrochloride513000ATR646902660울트라셋이알세미서방정_(1정)(주)한국얀센12세 (3)미만 (1)201900412019-05-22소아에서 생명에 치명적인 호흡 억제 및 사망 발생2
5급여품목acetaminophen,tramadol hydrochloride514100ATR646902650울트라셋이알서방정_(1정)(주)한국얀센12세 (3)미만 (1)201900412019-05-22소아에서 생명에 치명적인 호흡 억제 및 사망 발생2
6급여품목acetaminophen,tramadol hydrochloride514100ATR694002940베아셋서방정_(1정)대웅바이오(주)12세 (3)미만 (1)201900412019-05-22소아에서 생명에 치명적인 호흡 억제 및 사망 발생2
7급여품목ammonium chloride, chlorpheniramine maleate, dihydrocodeine tartrate, DL-methylephedrine hydrochloride532500ASY642003611코프원시럽_(20mL)현대약품(주)12세 (3)미만 (1)201800882018-11-0212세 미만 소아는 호흡억제 감수성이 큼. 12세 미만 소아에서 사망을 포함하는 중증 호흡억제 위험이 크다는 국외 보고 있음.2
8급여품목ammonium chloride, chlorpheniramine maleate, dihydrocodeine tartrate, DL-methylephedrine hydrochloride532500ASY642102282코푸시럽_(20mL)(주)유한양행12세 (3)미만 (1)201800882018-11-0212세 미만 소아는 호흡억제 감수성이 큼. 12세 미만 소아에서 사망을 포함하는 중증 호흡억제 위험이 크다는 국외 보고 있음.2
9급여품목ammonium chloride, chlorpheniramine maleate, dihydrocodeine tartrate, DL-methylephedrine hydrochloride532500ASY642404021코디프로시럽_(20mL)영진약품(주)12세 (3)미만 (1)201800882018-11-0212세 미만 소아는 호흡억제 감수성이 큼. 12세 미만 소아에서 사망을 포함하는 중증 호흡억제 위험이 크다는 국외 보고 있음.2