Overview

Dataset statistics

Number of variables11
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.4 KiB
Average record size in memory96.3 B

Variable types

Categorical7
Numeric3
Text1

Alerts

시술구분명 has constant value ""Constant
급여구분명 has constant value ""Constant
단가1(원) is highly overall correlated with 상대가치점수 and 3 other fieldsHigh correlation
적용시작일자 is highly overall correlated with 수가분류번호High correlation
수가분류번호 is highly overall correlated with 상대가치점수 and 5 other fieldsHigh correlation
단가4(원) is highly overall correlated with 상대가치점수 and 3 other fieldsHigh correlation
단가3(원) is highly overall correlated with 수가분류번호High correlation
상대가치점수 is highly overall correlated with 단가2(원) and 3 other fieldsHigh correlation
단가2(원) is highly overall correlated with 상대가치점수 and 3 other fieldsHigh correlation
적용시작일자 is highly imbalanced (91.9%)Imbalance
수가분류번호 is highly imbalanced (79.9%)Imbalance
단가1(원) is highly imbalanced (86.1%)Imbalance
단가3(원) is highly imbalanced (91.9%)Imbalance
단가4(원) is highly imbalanced (86.1%)Imbalance
한글명 has unique valuesUnique
수가코드 has unique valuesUnique

Reproduction

Analysis started2023-12-10 12:10:08.474005
Analysis finished2023-12-10 12:10:10.011892
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

적용시작일자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20200101
99 
20100401
 
1

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row20100401
2nd row20200101
3rd row20200101
4th row20200101
5th row20200101

Common Values

ValueCountFrequency (%)
20200101 99
99.0%
20100401 1
 
1.0%

Length

2023-12-10T21:10:10.081954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:10:10.174270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200101 99
99.0%
20100401 1
 
1.0%

상대가치점수
Real number (ℝ)

HIGH CORRELATION 

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean218.2028
Minimum0
Maximum769.28
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:10:10.276295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile53.6725
Q1135.02
median182.28
Q3292.99
95-th percentile411.54
Maximum769.28
Range769.28
Interquartile range (IQR)157.97

Descriptive statistics

Standard deviation137.1617
Coefficient of variation (CV)0.62859733
Kurtosis3.4145868
Mean218.2028
Median Absolute Deviation (MAD)87.42
Skewness1.4723762
Sum21820.28
Variance18813.331
MonotonicityNot monotonic
2023-12-10T21:10:10.434777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
162.02 6
 
6.0%
67.51 4
 
4.0%
202.53 4
 
4.0%
141.77 4
 
4.0%
182.28 4
 
4.0%
135.02 4
 
4.0%
364.55 3
 
3.0%
94.51 3
 
3.0%
175.53 3
 
3.0%
189.03 3
 
3.0%
Other values (50) 62
62.0%
ValueCountFrequency (%)
0.0 1
 
1.0%
27.0 2
2.0%
47.26 2
2.0%
54.01 1
 
1.0%
67.16 1
 
1.0%
67.51 4
4.0%
80.34 1
 
1.0%
85.06 1
 
1.0%
87.76 2
2.0%
89.79 1
 
1.0%
ValueCountFrequency (%)
769.28 1
1.0%
726.54 1
1.0%
588.98 1
1.0%
556.26 1
1.0%
432.06 1
1.0%
410.46 1
1.0%
405.06 1
1.0%
388.86 1
1.0%
384.81 1
1.0%
378.06 1
1.0%

한글명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T21:10:10.623930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length82
Mean length35.49
Min length22

Characters and Unicode

Total characters3549
Distinct characters77
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row요양병원 간호사 2/3 이상 확보(1일당)/
2nd row요양병원 한방입원료, 의사3·간호3등급/0-6시입원
3rd row요양병원 한방입원료, 의사3·간호3등급/0-6시입원, 내.소.정신과
4th row요양병원 한방입원료, 의사3·간호3등급/18-24시퇴원
5th row요양병원 한방입원료, 의사3·간호3등급/18-24시퇴원, 내.소.정신과
ValueCountFrequency (%)
요양병원 95
23.9%
한방입원료 94
23.6%
내.소.정신과 22
 
5.5%
내,소,정신과 15
 
3.8%
181일~270일째까지 10
 
2.5%
271일~360일째까지 10
 
2.5%
361일째부터 9
 
2.3%
의사3·간호6등급/입원 6
 
1.5%
의사4·간호2등급/입원 6
 
1.5%
의사4·간호1등급/입원 6
 
1.5%
Other values (65) 125
31.4%
2023-12-10T21:10:10.961217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
298
 
8.4%
원 284
 
8.0%
, 157
 
4.4%
입 153
 
4.3%
병 108
 
3.0%
료 108
 
3.0%
의 105
 
3.0%
한 103
 
2.9%
/ 101
 
2.8%
양 100
 
2.8%
Other values (67) 2032
57.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2248
63.3%
Decimal Number 490
 
13.8%
Other Punctuation 432
 
12.2%
Space Separator 298
 
8.4%
Dash Punctuation 51
 
1.4%
Math Symbol 20
 
0.6%
Lowercase Letter 8
 
0.2%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 284
 
12.6%
입 153
 
6.8%
병 108
 
4.8%
료 108
 
4.8%
의 105
 
4.7%
한 103
 
4.6%
양 100
 
4.4%
요 100
 
4.4%
호 99
 
4.4%
간 99
 
4.4%
Other values (47) 989
44.0%
Decimal Number
ValueCountFrequency (%)
4 97
19.8%
1 84
17.1%
6 61
12.4%
3 61
12.4%
2 56
11.4%
0 44
9.0%
8 32
 
6.5%
5 31
 
6.3%
7 24
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 157
36.3%
/ 101
23.4%
· 98
22.7%
. 68
15.7%
\ 8
 
1.9%
Space Separator
ValueCountFrequency (%)
298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Math Symbol
ValueCountFrequency (%)
~ 20
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2248
63.3%
Common 1293
36.4%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 284
 
12.6%
입 153
 
6.8%
병 108
 
4.8%
료 108
 
4.8%
의 105
 
4.7%
한 103
 
4.6%
양 100
 
4.4%
요 100
 
4.4%
호 99
 
4.4%
간 99
 
4.4%
Other values (47) 989
44.0%
Common
ValueCountFrequency (%)
298
23.0%
, 157
12.1%
/ 101
 
7.8%
· 98
 
7.6%
4 97
 
7.5%
1 84
 
6.5%
. 68
 
5.3%
6 61
 
4.7%
3 61
 
4.7%
2 56
 
4.3%
Other values (9) 212
16.4%
Latin
ValueCountFrequency (%)
n 8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2248
63.3%
ASCII 1203
33.9%
None 98
 
2.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
298
24.8%
, 157
13.1%
/ 101
 
8.4%
4 97
 
8.1%
1 84
 
7.0%
. 68
 
5.7%
6 61
 
5.1%
3 61
 
5.1%
2 56
 
4.7%
- 51
 
4.2%
Other values (9) 169
14.0%
Hangul
ValueCountFrequency (%)
원 284
 
12.6%
입 153
 
6.8%
병 108
 
4.8%
료 108
 
4.8%
의 105
 
4.7%
한 103
 
4.6%
양 100
 
4.4%
요 100
 
4.4%
호 99
 
4.4%
간 99
 
4.4%
Other values (47) 989
44.0%
None
ValueCountFrequency (%)
· 98
100.0%

수가코드
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13516066
Minimum11800
Maximum15551204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:10:11.110635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11800
5-th percentile15540.95
Q115534203
median15541052
Q315543201
95-th percentile15550244
Maximum15551204
Range15539404
Interquartile range (IQR)8998

Descriptive statistics

Standard deviation5245248.5
Coefficient of variation (CV)0.3880751
Kurtosis3.0510493
Mean13516066
Median Absolute Deviation (MAD)2900
Skewness-2.2338287
Sum1.3516066 × 109
Variance2.7512632 × 1013
MonotonicityNot monotonic
2023-12-10T21:10:11.287283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15001 1
 
1.0%
15551204 1
 
1.0%
15538304 1
 
1.0%
15538500 1
 
1.0%
15538400 1
 
1.0%
15538300 1
 
1.0%
15534504 1
 
1.0%
15357904 1
 
1.0%
15357900 1
 
1.0%
15357804 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
11800 1
1.0%
15001 1
1.0%
15534 1
1.0%
15538 1
1.0%
15540 1
1.0%
15541 1
1.0%
15542 1
1.0%
15543 1
1.0%
15544 1
1.0%
15548 1
1.0%
ValueCountFrequency (%)
15551204 1
1.0%
15551200 1
1.0%
15551104 1
1.0%
15551100 1
1.0%
15551004 1
1.0%
15550204 1
1.0%
15550200 1
1.0%
15550104 1
1.0%
15550100 1
1.0%
15550004 1
1.0%

수가분류번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
요51
94 
가2다(4)
 
4
산4마(5)
 
1
가8라(2)
 
1

Length

Max length6
Median length3
Mean length3.18
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row산4마(5)
2nd row요51
3rd row요51
4th row요51
5th row요51

Common Values

ValueCountFrequency (%)
요51 94
94.0%
가2다(4) 4
 
4.0%
산4마(5) 1
 
1.0%
가8라(2) 1
 
1.0%

Length

2023-12-10T21:10:11.439181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:10:11.540385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요51 94
94.0%
가2다(4 4
 
4.0%
산4마(5 1
 
1.0%
가8라(2 1
 
1.0%

시술구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
비시술
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비시술 100
100.0%

Length

2023-12-10T21:10:11.648723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:10:11.766662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비시술 100
100.0%

급여구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
급여
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
급여 100
100.0%

Length

2023-12-10T21:10:12.149826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:10:12.389040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
급여 100
100.0%

단가1(원)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
96 
51420
 
1
67160
 
1
48560
 
1
63430
 
1

Length

Max length5
Median length1
Mean length1.16
Min length1

Unique

Unique4 ?
Unique (%)4.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 96
96.0%
51420 1
 
1.0%
67160 1
 
1.0%
48560 1
 
1.0%
63430 1
 
1.0%

Length

2023-12-10T21:10:12.710301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:10:13.132107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 96
96.0%
51420 1
 
1.0%
67160 1
 
1.0%
48560 1
 
1.0%
63430 1
 
1.0%

단가2(원)
Real number (ℝ)

HIGH CORRELATION 

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16647.2
Minimum2000
Maximum58620
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T21:10:13.385707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile4094
Q110290
median13890
Q322322.5
95-th percentile31362
Maximum58620
Range56620
Interquartile range (IQR)12032.5

Descriptive statistics

Standard deviation10421.598
Coefficient of variation (CV)0.62602705
Kurtosis3.4501665
Mean16647.2
Median Absolute Deviation (MAD)6665
Skewness1.4926184
Sum1664720
Variance1.086097 × 108
MonotonicityNot monotonic
2023-12-10T21:10:13.748466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12350 6
 
6.0%
5140 4
 
4.0%
15430 4
 
4.0%
10800 4
 
4.0%
13890 4
 
4.0%
10290 4
 
4.0%
27780 3
 
3.0%
7200 3
 
3.0%
13380 3
 
3.0%
14400 3
 
3.0%
Other values (50) 62
62.0%
ValueCountFrequency (%)
2000 1
 
1.0%
2060 2
2.0%
3600 2
2.0%
4120 1
 
1.0%
5120 1
 
1.0%
5140 4
4.0%
6120 1
 
1.0%
6480 1
 
1.0%
6690 2
2.0%
6840 1
 
1.0%
ValueCountFrequency (%)
58620 1
1.0%
55360 1
1.0%
44880 1
1.0%
42390 1
1.0%
32920 1
1.0%
31280 1
1.0%
30870 1
1.0%
29630 1
1.0%
29320 1
1.0%
28810 1
1.0%

단가3(원)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
99 
5630
 
1

Length

Max length4
Median length1
Mean length1.03
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 99
99.0%
5630 1
 
1.0%

Length

2023-12-10T21:10:14.000765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:10:14.143952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 99
99.0%
5630 1
 
1.0%

단가4(원)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
96 
51480
 
1
67240
 
1
48620
 
1
63500
 
1

Length

Max length5
Median length1
Mean length1.16
Min length1

Unique

Unique4 ?
Unique (%)4.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 96
96.0%
51480 1
 
1.0%
67240 1
 
1.0%
48620 1
 
1.0%
63500 1
 
1.0%

Length

2023-12-10T21:10:14.306074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T21:10:14.482450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 96
96.0%
51480 1
 
1.0%
67240 1
 
1.0%
48620 1
 
1.0%
63500 1
 
1.0%

Interactions

2023-12-10T21:10:09.483526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:10:08.893045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:10:09.182820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:10:09.586623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:10:08.989055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:10:09.280756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:10:09.677778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:10:09.097120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T21:10:09.396924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T21:10:14.610061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
적용시작일자상대가치점수한글명수가코드수가분류번호단가1(원)단가2(원)단가3(원)단가4(원)
적용시작일자1.0000.1501.0000.0951.0000.000NaN0.0000.000
상대가치점수0.1501.0001.0000.2950.8910.8140.9870.1500.814
한글명1.0001.0001.0001.0001.0001.0001.0001.0001.000
수가코드0.0950.2951.0001.0000.1480.0000.000NaN0.000
수가분류번호1.0000.8911.0000.1481.0000.6240.7821.0000.624
단가1(원)0.0000.8141.0000.0000.6241.0000.8140.0001.000
단가2(원)NaN0.9871.0000.0000.7820.8141.0000.0000.814
단가3(원)0.0000.1501.000NaN1.0000.0000.0001.0000.000
단가4(원)0.0000.8141.0000.0000.6241.0000.8140.0001.000
2023-12-10T21:10:15.131018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단가1(원)적용시작일자수가분류번호단가4(원)단가3(원)
단가1(원)1.0000.0000.5501.0000.000
적용시작일자0.0001.0000.9900.0000.000
수가분류번호0.5500.9901.0000.5500.990
단가4(원)1.0000.0000.5501.0000.000
단가3(원)0.0000.0000.9900.0001.000
2023-12-10T21:10:15.293639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상대가치점수수가코드단가2(원)적용시작일자수가분류번호단가1(원)단가3(원)단가4(원)
상대가치점수1.000-0.0781.0000.1060.5720.6690.1060.669
수가코드-0.0781.000-0.0780.0460.3350.0000.0460.000
단가2(원)1.000-0.0781.0000.0000.5480.6690.0000.669
적용시작일자0.1060.0460.0001.0000.9900.0000.0000.000
수가분류번호0.5720.3350.5480.9901.0000.5500.9900.550
단가1(원)0.6690.0000.6690.0000.5501.0000.0001.000
단가3(원)0.1060.0460.0000.0000.9900.0001.0000.000
단가4(원)0.6690.0000.6690.0000.5501.0000.0001.000

Missing values

2023-12-10T21:10:09.799508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T21:10:09.952855image/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

적용시작일자상대가치점수한글명수가코드수가분류번호시술구분명급여구분명단가1(원)단가2(원)단가3(원)단가4(원)
0201004010.0요양병원 간호사 2/3 이상 확보(1일당)/15001산4마(5)비시술급여0200000
120200101162.02요양병원 한방입원료, 의사3·간호3등급/0-6시입원15533100요51비시술급여01235000
220200101202.53요양병원 한방입원료, 의사3·간호3등급/0-6시입원, 내.소.정신과15533104요51비시술급여01543000
320200101162.02요양병원 한방입원료, 의사3·간호3등급/18-24시퇴원15533200요51비시술급여01235000
420200101202.53요양병원 한방입원료, 의사3·간호3등급/18-24시퇴원, 내.소.정신과15533204요51비시술급여01543000
520200101283.54요양병원 한방입원료, 의사3·간호4등급/15534요51비시술급여02161000
620200101364.55요양병원 한방입원료, 의사3·간호4등급/내.소.정신과15534004요51비시술급여02778000
720200101141.77요양병원 한방입원료, 의사3·간호4등급/0-6시입원15534100요51비시술급여01080000
820200101182.28요양병원 한방입원료, 의사3·간호4등급/0-6시입원, 내.소.정신과15534104요51비시술급여01389000
920200101141.77요양병원 한방입원료, 의사3·간호4등급/18-24시퇴원15534200요51비시술급여01080000
적용시작일자상대가치점수한글명수가코드수가분류번호시술구분명급여구분명단가1(원)단가2(원)단가3(원)단가4(원)
9020200101291.64요양병원 한방입원료, 의사4·간호2등급/입원 181일~270일째까지 내,소,정신과15542400요51비시술급여02222000
9120200101275.44요양병원 한방입원료, 의사4·간호2등급/입원 271일~360일째까지15542500요51비시술급여02099000
9220200101384.81요양병원 한방입원료, 의사4·간호2등급/입원 271일~360일째까지 내,소,정신과15542304요51비시술급여02932000
9320200101364.55요양병원 한방입원료, 의사4·간호2등급/입원 361일째부터15542404요51비시술급여02778000
9420200101344.3요양병원 한방입원료, 의사4·간호2등급/입원 361일째부터 내,소,정신과15542504요51비시술급여02624000
9520200101269.36요양병원 한방입원료, 의사4·간호3등급/입원 181일~270일째까지15543300요51비시술급여02053000
9620200101255.19요양병원 한방입원료, 의사4·간호3등급/입원 181일~270일째까지 내,소,정신과15543400요51비시술급여01945000
9720200101241.01요양병원 한방입원료, 의사4·간호3등급/입원 271일~360일째까지15543500요51비시술급여01836000
9820200101346.33요양병원 한방입원료, 의사4·간호3등급/입원 271일~360일째까지 내,소,정신과15543304요51비시술급여02639000
992020010167.16협의진찰료-요양병원,보건의료원 내 한의과/11800가8라(2)비시술급여0512056300