Overview

Dataset statistics

Number of variables16
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.4 KiB
Average record size in memory137.3 B

Variable types

Categorical5
Numeric6
Boolean3
Text2

Alerts

적용시작일자 has constant value ""Constant
필수선별급여중복인정여부 has constant value ""Constant
급여구분명 has constant value ""Constant
본인부담율A인정여부 has constant value ""Constant
본인부담율B인정여부 has constant value ""Constant
수술구분명 has constant value ""Constant
조산원단가 has constant value ""Constant
상대가치점수 is highly overall correlated with 병원단가High correlation
의원단가 is highly overall correlated with 병원단가 and 2 other fieldsHigh correlation
병원단가 is highly overall correlated with 상대가치점수 and 2 other fieldsHigh correlation
치과병의원단가 is highly overall correlated with 한방병원단가 and 1 other fieldsHigh correlation
보건기관단가 is highly overall correlated with 의원단가 and 2 other fieldsHigh correlation
한방병원단가 is highly overall correlated with 치과병의원단가 and 1 other fieldsHigh correlation
수가분류번호 is highly overall correlated with 의원단가 and 3 other fieldsHigh correlation
한글명 has unique valuesUnique
수가코드 has unique valuesUnique
의원단가 has 88 (88.0%) zerosZeros
병원단가 has 12 (12.0%) zerosZeros
치과병의원단가 has 83 (83.0%) zerosZeros
보건기관단가 has 88 (88.0%) zerosZeros
한방병원단가 has 86 (86.0%) zerosZeros

Reproduction

Analysis started2023-12-10 11:55:16.141922
Analysis finished2023-12-10 11:55:22.473331
Duration6.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

적용시작일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20200101
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
20200101 100
100.0%

Length

2023-12-10T20:55:22.574263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:55:22.717337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200101 100
100.0%

상대가치점수
Real number (ℝ)

HIGH CORRELATION 

Distinct57
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1787.4088
Minimum93.77
Maximum6518.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:55:22.881988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.77
5-th percentile187.42
Q1531.53
median1253.415
Q32724.5175
95-th percentile4705.52
Maximum6518.46
Range6424.69
Interquartile range (IQR)2192.9875

Descriptive statistics

Standard deviation1495.1604
Coefficient of variation (CV)0.83649603
Kurtosis0.53849001
Mean1787.4088
Median Absolute Deviation (MAD)1028.945
Skewness0.97546367
Sum178740.88
Variance2235504.5
MonotonicityNot monotonic
2023-12-10T20:55:23.102355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3259.23 7
 
7.0%
2953.68 6
 
6.0%
2342.57 6
 
6.0%
2037.02 6
 
6.0%
2648.13 6
 
6.0%
93.77 2
 
2.0%
592.41 2
 
2.0%
431.66 2
 
2.0%
106.73 2
 
2.0%
240.73 2
 
2.0%
Other values (47) 59
59.0%
ValueCountFrequency (%)
93.77 2
2.0%
106.73 2
2.0%
187.42 2
2.0%
187.53 1
1.0%
203.7 1
1.0%
212.79 2
2.0%
213.46 1
1.0%
224.47 2
2.0%
240.73 2
2.0%
274.11 1
1.0%
ValueCountFrequency (%)
6518.46 1
1.0%
5907.36 1
1.0%
5703.66 1
1.0%
5296.25 1
1.0%
5092.55 1
1.0%
4685.15 1
1.0%
4481.44 1
1.0%
4074.04 1
1.0%
3870.34 1
1.0%
3666.64 1
1.0%

필수선별급여중복인정여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
100 
ValueCountFrequency (%)
False 100
100.0%
2023-12-10T20:55:23.258058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

한글명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:55:23.456486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39.5
Mean length36
Min length17

Characters and Unicode

Total characters3600
Distinct characters74
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

Unique100 ?
Unique (%)100.0%

Sample

1st row소아 진정관리료-상급종합병원/신생아
2nd row소아 진정관리료-상급종합병원/신생아 야간
3rd row소아 진정관리료-상급종합병원/신생아 공휴일
4th row소아 진정관리료-종합병원/신생아
5th row소아 진정관리료-종합병원/신생아 야간
ValueCountFrequency (%)
신생아 33
 
9.2%
신생아실 24
 
6.7%
입원료-질병이 24
 
6.7%
신생아중환자실입원료/오전0-6시입원 16
 
4.5%
외 16
 
4.5%
소아 12
 
3.4%
없는 12
 
3.4%
있는 12
 
3.4%
집중간호 10
 
2.8%
적응증 10
 
2.8%
Other values (46) 189
52.8%
2023-12-10T20:55:23.979164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 272
 
7.6%
258
 
7.2%
- 183
 
5.1%
아 168
 
4.7%
료 163
 
4.5%
신 156
 
4.3%
생 156
 
4.3%
병 137
 
3.8%
급 111
 
3.1%
입 105
 
2.9%
Other values (64) 1891
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2790
77.5%
Space Separator 258
 
7.2%
Decimal Number 224
 
6.2%
Dash Punctuation 183
 
5.1%
Other Punctuation 145
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 272
 
9.7%
아 168
 
6.0%
료 163
 
5.8%
신 156
 
5.6%
생 156
 
5.6%
병 137
 
4.9%
급 111
 
4.0%
입 105
 
3.8%
간 82
 
2.9%
실 78
 
2.8%
Other values (50) 1362
48.8%
Decimal Number
ValueCountFrequency (%)
1 41
18.3%
2 39
17.4%
4 36
16.1%
6 32
14.3%
0 31
13.8%
8 27
12.1%
5 9
 
4.0%
3 9
 
4.0%
Other Punctuation
ValueCountFrequency (%)
/ 100
69.0%
, 33
 
22.8%
· 9
 
6.2%
: 3
 
2.1%
Space Separator
ValueCountFrequency (%)
258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 183
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2790
77.5%
Common 810
 
22.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 272
 
9.7%
아 168
 
6.0%
료 163
 
5.8%
신 156
 
5.6%
생 156
 
5.6%
병 137
 
4.9%
급 111
 
4.0%
입 105
 
3.8%
간 82
 
2.9%
실 78
 
2.8%
Other values (50) 1362
48.8%
Common
ValueCountFrequency (%)
258
31.9%
- 183
22.6%
/ 100
 
12.3%
1 41
 
5.1%
2 39
 
4.8%
4 36
 
4.4%
, 33
 
4.1%
6 32
 
4.0%
0 31
 
3.8%
8 27
 
3.3%
Other values (4) 30
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2790
77.5%
ASCII 801
 
22.2%
None 9
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 272
 
9.7%
아 168
 
6.0%
료 163
 
5.8%
신 156
 
5.6%
생 156
 
5.6%
병 137
 
4.9%
급 111
 
4.0%
입 105
 
3.8%
간 82
 
2.9%
실 78
 
2.8%
Other values (50) 1362
48.8%
ASCII
ValueCountFrequency (%)
258
32.2%
- 183
22.8%
/ 100
 
12.5%
1 41
 
5.1%
2 39
 
4.9%
4 36
 
4.5%
, 33
 
4.1%
6 32
 
4.0%
0 31
 
3.9%
8 27
 
3.4%
Other values (3) 21
 
2.6%
None
ValueCountFrequency (%)
· 9
100.0%

수가코드
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T20:55:24.413339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.37
Min length5

Characters and Unicode

Total characters737
Distinct characters11
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

Unique100 ?
Unique (%)100.0%

Sample

1st rowAC301C00
2nd rowAC301C10
3rd rowAC301C50
4th rowAC302C00
5th rowAC302C10
ValueCountFrequency (%)
ac301c00 1
 
1.0%
aj111020 1
 
1.0%
aj121110 1
 
1.0%
aj121100 1
 
1.0%
aj121020 1
 
1.0%
aj121010 1
 
1.0%
aj121 1
 
1.0%
aj111220 1
 
1.0%
aj111210 1
 
1.0%
aj111200 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T20:55:25.110844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 208
28.2%
0 154
20.9%
A 100
13.6%
2 77
 
10.4%
J 52
 
7.1%
3 46
 
6.2%
G 36
 
4.9%
4 32
 
4.3%
C 24
 
3.3%
5 4
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 525
71.2%
Uppercase Letter 212
28.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 208
39.6%
0 154
29.3%
2 77
 
14.7%
3 46
 
8.8%
4 32
 
6.1%
5 4
 
0.8%
6 4
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
A 100
47.2%
J 52
24.5%
G 36
 
17.0%
C 24
 
11.3%

Most occurring scripts

ValueCountFrequency (%)
Common 525
71.2%
Latin 212
28.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 208
39.6%
0 154
29.3%
2 77
 
14.7%
3 46
 
8.8%
4 32
 
6.1%
5 4
 
0.8%
6 4
 
0.8%
Latin
ValueCountFrequency (%)
A 100
47.2%
J 52
24.5%
G 36
 
17.0%
C 24
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 737
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 208
28.2%
0 154
20.9%
A 100
13.6%
2 77
 
10.4%
J 52
 
7.1%
3 46
 
6.2%
G 36
 
4.9%
4 32
 
4.3%
C 24
 
3.3%
5 4
 
0.5%

수가분류번호
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
가9나(1)
49 
가33가
 
3
가33다
 
3
가33라
 
3
가7가(1)(가)
 
3
Other values (14)
39 

Length

Max length9
Median length6
Mean length6.46
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row가33가
2nd row가33가
3rd row가33가
4th row가33나
5th row가33나

Common Values

ValueCountFrequency (%)
가9나(1) 49
49.0%
가33가 3
 
3.0%
가33다 3
 
3.0%
가33라 3
 
3.0%
가7가(1)(가) 3
 
3.0%
가7다(1) 3
 
3.0%
가7가(2)(가) 3
 
3.0%
가7가(1)(나) 3
 
3.0%
가7다(2) 3
 
3.0%
가7가(2)(나) 3
 
3.0%
Other values (9) 24
24.0%

Length

2023-12-10T20:55:25.352382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가9나(1 49
49.0%
가33가 3
 
3.0%
가33나 3
 
3.0%
가7가(2)(라 3
 
3.0%
가7다(4 3
 
3.0%
가7가(1)(라 3
 
3.0%
가7가(2)(다 3
 
3.0%
가7다(3 3
 
3.0%
가7가(1)(다 3
 
3.0%
가7가(2)(나 3
 
3.0%
Other values (9) 24
24.0%

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

2023-12-10T20:55:25.541542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:55:25.678835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
급여 100
100.0%

본인부담율A인정여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
100 
ValueCountFrequency (%)
False 100
100.0%
2023-12-10T20:55:25.783959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

본인부담율B인정여부
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
100 
ValueCountFrequency (%)
False 100
100.0%
2023-12-10T20:55:25.895001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

수술구분명
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비수술 100
100.0%

Length

2023-12-10T20:55:26.040805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:55:26.170894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비수술 100
100.0%

의원단가
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4415.2
Minimum0
Maximum75470
Zeros88
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:55:26.305547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30654
Maximum75470
Range75470
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14630.093
Coefficient of variation (CV)3.3135741
Kurtosis14.0242
Mean4415.2
Median Absolute Deviation (MAD)0
Skewness3.7650371
Sum441520
Variance2.1403961 × 108
MonotonicityNot monotonic
2023-12-10T20:55:26.455451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 88
88.0%
75470 2
 
2.0%
19260 2
 
2.0%
8050 2
 
2.0%
30240 2
 
2.0%
60380 1
 
1.0%
38520 1
 
1.0%
16090 1
 
1.0%
60490 1
 
1.0%
ValueCountFrequency (%)
0 88
88.0%
8050 2
 
2.0%
16090 1
 
1.0%
19260 2
 
2.0%
30240 2
 
2.0%
38520 1
 
1.0%
60380 1
 
1.0%
60490 1
 
1.0%
75470 2
 
2.0%
ValueCountFrequency (%)
75470 2
 
2.0%
60490 1
 
1.0%
60380 1
 
1.0%
38520 1
 
1.0%
30240 2
 
2.0%
19260 2
 
2.0%
16090 1
 
1.0%
8050 2
 
2.0%
0 88
88.0%

병원단가
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct50
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132278.6
Minimum0
Maximum496710
Zeros12
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:55:26.631760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q132775
median95510
Q3207610
95-th percentile358562
Maximum496710
Range496710
Interquartile range (IQR)174835

Descriptive statistics

Standard deviation117725.85
Coefficient of variation (CV)0.88998408
Kurtosis0.34387599
Mean132278.6
Median Absolute Deviation (MAD)82990
Skewness0.88907068
Sum13227860
Variance1.3859375 × 1010
MonotonicityNot monotonic
2023-12-10T20:55:26.887470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
12.0%
248350 7
 
7.0%
155220 6
 
6.0%
201790 6
 
6.0%
178500 6
 
6.0%
225070 6
 
6.0%
232830 2
 
2.0%
18340 2
 
2.0%
32890 2
 
2.0%
54620 2
 
2.0%
Other values (40) 49
49.0%
ValueCountFrequency (%)
0 12
12.0%
8130 2
 
2.0%
14280 2
 
2.0%
15520 1
 
1.0%
16210 2
 
2.0%
16270 1
 
1.0%
18340 2
 
2.0%
20890 1
 
1.0%
28560 1
 
1.0%
32430 1
 
1.0%
ValueCountFrequency (%)
496710 1
1.0%
450140 1
1.0%
434620 1
1.0%
403570 1
1.0%
388050 1
1.0%
357010 1
1.0%
341490 1
1.0%
310440 1
1.0%
294920 1
1.0%
279400 1
1.0%

치과병의원단가
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8118.9
Minimum0
Maximum90130
Zeros83
Zeros (%)83.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:55:27.087387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile72267.5
Maximum90130
Range90130
Interquartile range (IQR)0

Descriptive statistics

Standard deviation21330.914
Coefficient of variation (CV)2.6273157
Kurtosis6.5739749
Mean8118.9
Median Absolute Deviation (MAD)0
Skewness2.7525062
Sum811890
Variance4.5500788 × 108
MonotonicityNot monotonic
2023-12-10T20:55:27.255883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 83
83.0%
90130 2
 
2.0%
76880 2
 
2.0%
21040 2
 
2.0%
9330 2
 
2.0%
37730 2
 
2.0%
72100 1
 
1.0%
61510 1
 
1.0%
42080 1
 
1.0%
18660 1
 
1.0%
Other values (3) 3
 
3.0%
ValueCountFrequency (%)
0 83
83.0%
9330 2
 
2.0%
18660 1
 
1.0%
21040 2
 
2.0%
23960 1
 
1.0%
37730 2
 
2.0%
42080 1
 
1.0%
47910 1
 
1.0%
61510 1
 
1.0%
72100 1
 
1.0%
ValueCountFrequency (%)
90130 2
2.0%
76880 2
2.0%
75450 1
1.0%
72100 1
1.0%
61510 1
1.0%
47910 1
1.0%
42080 1
1.0%
37730 2
2.0%
23960 1
1.0%
21040 2
2.0%

보건기관단가
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4312.3
Minimum0
Maximum73710
Zeros88
Zeros (%)88.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:55:27.421490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile29944
Maximum73710
Range73710
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14289.022
Coefficient of variation (CV)3.3135502
Kurtosis14.023497
Mean4312.3
Median Absolute Deviation (MAD)0
Skewness3.764949
Sum431230
Variance2.0417616 × 108
MonotonicityNot monotonic
2023-12-10T20:55:27.597882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 88
88.0%
73710 2
 
2.0%
18810 2
 
2.0%
7860 2
 
2.0%
29540 2
 
2.0%
58970 1
 
1.0%
37620 1
 
1.0%
15720 1
 
1.0%
59080 1
 
1.0%
ValueCountFrequency (%)
0 88
88.0%
7860 2
 
2.0%
15720 1
 
1.0%
18810 2
 
2.0%
29540 2
 
2.0%
37620 1
 
1.0%
58970 1
 
1.0%
59080 1
 
1.0%
73710 2
 
2.0%
ValueCountFrequency (%)
73710 2
 
2.0%
59080 1
 
1.0%
58970 1
 
1.0%
37620 1
 
1.0%
29540 2
 
2.0%
18810 2
 
2.0%
15720 1
 
1.0%
7860 2
 
2.0%
0 88
88.0%

조산원단가
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T20:55:27.806219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T20:55:27.969985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

한방병원단가
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5959.3
Minimum0
Maximum90020
Zeros86
Zeros (%)86.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T20:55:28.095597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile42321.5
Maximum90020
Range90020
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18089.999
Coefficient of variation (CV)3.0355912
Kurtosis11.865098
Mean5959.3
Median Absolute Deviation (MAD)0
Skewness3.4675003
Sum595930
Variance3.2724806 × 108
MonotonicityNot monotonic
2023-12-10T20:55:28.274220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 86
86.0%
90020 2
 
2.0%
21020 2
 
2.0%
9320 2
 
2.0%
37680 2
 
2.0%
72020 1
 
1.0%
42030 1
 
1.0%
18640 1
 
1.0%
75370 1
 
1.0%
23930 1
 
1.0%
ValueCountFrequency (%)
0 86
86.0%
9320 2
 
2.0%
18640 1
 
1.0%
21020 2
 
2.0%
23930 1
 
1.0%
37680 2
 
2.0%
42030 1
 
1.0%
47860 1
 
1.0%
72020 1
 
1.0%
75370 1
 
1.0%
ValueCountFrequency (%)
90020 2
2.0%
75370 1
1.0%
72020 1
1.0%
47860 1
1.0%
42030 1
1.0%
37680 2
2.0%
23930 1
1.0%
21020 2
2.0%
18640 1
1.0%
9320 2
2.0%

Interactions

2023-12-10T20:55:20.734507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:16.683270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:17.522870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:18.325065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:19.147143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:19.893333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:20.862468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:16.819437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:17.675659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:18.453216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:19.279384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:20.019931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:21.018637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:16.988034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:17.825300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:18.596323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:19.408693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:20.164339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:21.140368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:17.130576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:17.945301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:18.731745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:19.526266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:20.296354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:21.264823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:17.252643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:18.054753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:18.864224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:19.641137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:20.424817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:21.395732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:17.393963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:18.195048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:19.016373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:19.778731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T20:55:20.599416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T20:55:28.403408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상대가치점수한글명수가코드수가분류번호의원단가병원단가치과병의원단가보건기관단가한방병원단가
상대가치점수1.0001.0001.0000.3060.0000.9990.0000.0000.000
한글명1.0001.0001.0001.0001.0001.0001.0001.0001.000
수가코드1.0001.0001.0001.0001.0001.0001.0001.0001.000
수가분류번호0.3061.0001.0001.0000.8860.3530.9010.8860.889
의원단가0.0001.0001.0000.8861.0000.0000.5791.0000.000
병원단가0.9991.0001.0000.3530.0001.0000.0000.0000.000
치과병의원단가0.0001.0001.0000.9010.5790.0001.0000.5790.982
보건기관단가0.0001.0001.0000.8861.0000.0000.5791.0000.000
한방병원단가0.0001.0001.0000.8890.0000.0000.9820.0001.000
2023-12-10T20:55:28.606141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상대가치점수의원단가병원단가치과병의원단가보건기관단가한방병원단가수가분류번호
상대가치점수1.000-0.3810.968-0.372-0.381-0.3720.104
의원단가-0.3811.000-0.5620.1211.000-0.1480.615
병원단가0.968-0.5621.000-0.404-0.562-0.3040.125
치과병의원단가-0.3720.121-0.4041.0000.1210.8720.606
보건기관단가-0.3811.000-0.5620.1211.000-0.1480.615
한방병원단가-0.372-0.148-0.3040.872-0.1481.0000.621
수가분류번호0.1040.6150.1250.6060.6150.6211.000

Missing values

2023-12-10T20:55:21.591817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T20:55:22.283315image/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

적용시작일자상대가치점수필수선별급여중복인정여부한글명수가코드수가분류번호급여구분명본인부담율A인정여부본인부담율B인정여부수술구분명의원단가병원단가치과병의원단가보건기관단가조산원단가한방병원단가
020200101914.14N소아 진정관리료-상급종합병원/신생아AC301C00가33가급여NN비수술0696600000
1202001011142.68N소아 진정관리료-상급종합병원/신생아 야간AC301C10가33가급여NN비수술0870700000
2202001011142.68N소아 진정관리료-상급종합병원/신생아 공휴일AC301C50가33가급여NN비수술0870700000
320200101868.32N소아 진정관리료-종합병원/신생아AC302C00가33나급여NN비수술0661700000
4202001011085.4N소아 진정관리료-종합병원/신생아 야간AC302C10가33나급여NN비수술0827100000
5202001011085.4N소아 진정관리료-종합병원/신생아 공휴일AC302C50가33나급여NN비수술0827100000
620200101824.94N소아 진정관리료-병원,치과병원,요양병원,한방병원/신생아AC303C00가33다급여NN비수술062860721000072020
7202001011031.18N소아 진정관리료-병원,치과병원,요양병원,한방병원/신생아 야간AC303C10가33다급여NN비수술078580901300090020
8202001011031.18N소아 진정관리료-병원,치과병원,요양병원,한방병원/신생아 공휴일AC303C50가33다급여NN비수술078580901300090020
920200101703.72N소아 진정관리료-의원,치과의원,보건의료원/신생아AC304C00가33라급여NN비수술603800615105897000
적용시작일자상대가치점수필수선별급여중복인정여부한글명수가코드수가분류번호급여구분명본인부담율A인정여부본인부담율B인정여부수술구분명의원단가병원단가치과병의원단가보건기관단가조산원단가한방병원단가
90202001012342.57N상급종합병원-4등급간호관리료적용 신생아중환자실입원료/오전0-6시입원AJ144100가9나(1)급여NN비수술01785000000
91202001012342.57N상급종합병원-4등급간호관리료적용 신생아중환자실입원료/오전0-6시입원 집중간호 신생아AJ144110가9나(1)급여NN비수술01785000000
92202001012342.57N상급종합병원-4등급간호관리료적용 신생아중환자실입원료/오전0-6시입원 적응증 외 신생아AJ144120가9나(1)급여NN비수술01785000000
93202001012342.57N상급종합병원-4등급간호관리료적용 신생아중환자실입원료/18-24시퇴원AJ144200가9나(1)급여NN비수술01785000000
94202001012342.57N상급종합병원-4등급간호관리료적용 신생아중환자실입원료/18-24시퇴원 집중간호 신생아AJ144210가9나(1)급여NN비수술01785000000
95202001012342.57N상급종합병원-4등급간호관리료적용 신생아중환자실입원료/18시-24시퇴원 적응증 외 신생아AJ144220가9나(1)급여NN비수술01785000000
96202001013055.53N상급종합병원-6등급간호관리료적용 신생아중환자실입원료/AJ161가9나(1)급여NN비수술02328300000
97202001012240.72N상급종합병원-6등급간호관리료적용 신생아중환자실입원료/집중간호 신생아AJ161010가9나(1)급여NN비수술01707400000
9820200101203.7N상급종합병원-6등급간호관리료적용 신생아중환자실입원료/적응증 외 신생아AJ161020가9나(1)급여NN비수술0155200000
99202001011527.77N상급종합병원-6등급간호관리료적용 신생아중환자실입원료/오전0-6시입원AJ161100가9나(1)급여NN비수술01164200000