Overview

Dataset statistics

Number of variables13
Number of observations3214
Missing cells610
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory348.5 KiB
Average record size in memory111.0 B

Variable types

Text4
DateTime1
Categorical3
Numeric5

Dataset

Description건강보험심사평가원에서 제공하는 「건강보험 행위 급여·비급여 목록표 및 급여 상대가치점수」 / 건강보험심사평가원 홈페이지 > 제도정책 > 보험인정기준 메뉴에서 확인
Author건강보험심사평가원
URLhttps://www.data.go.kr/data/15067457/fileData.do

Alerts

시술구분 is highly overall correlated with 1_2구분 and 1 other fieldsHigh correlation
장구분 is highly overall correlated with 1_2구분 and 1 other fieldsHigh correlation
1_2구분 is highly overall correlated with 시술구분 and 1 other fieldsHigh correlation
한방병의원단가 is highly overall correlated with 치과병원단가High correlation
병원단가 is highly overall correlated with 보건기관단가 and 1 other fieldsHigh correlation
보건기관단가 is highly overall correlated with 병원단가High correlation
치과병원단가 is highly overall correlated with 한방병의원단가High correlation
상대가치점수 is highly overall correlated with 병원단가High correlation
시술구분 is highly imbalanced (63.3%)Imbalance
산정명칭 has 551 (17.1%) missing valuesMissing
상대가치점수 has 59 (1.8%) missing valuesMissing
수가코드 has unique valuesUnique
한방병의원단가 has 1742 (54.2%) zerosZeros
병원단가 has 330 (10.3%) zerosZeros
보건기관단가 has 2387 (74.3%) zerosZeros
치과병원단가 has 2232 (69.4%) zerosZeros

Reproduction

Analysis started2023-12-12 13:51:01.715981
Analysis finished2023-12-12 13:51:05.405545
Duration3.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

수가코드
Text

UNIQUE 

Distinct3214
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-12-12T22:51:05.661758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.4856876
Min length5

Characters and Unicode

Total characters24059
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

Unique3214 ?
Unique (%)100.0%

Sample

1st row10100
2nd row10100010
3rd row10100011
4th row10100030
5th row10100050
ValueCountFrequency (%)
10100 1
 
< 0.1%
15592594 1
 
< 0.1%
15593304 1
 
< 0.1%
15593300 1
 
< 0.1%
15592394 1
 
< 0.1%
15592400 1
 
< 0.1%
15592404 1
 
< 0.1%
15592490 1
 
< 0.1%
15592494 1
 
< 0.1%
15592500 1
 
< 0.1%
Other values (3204) 3204
99.7%
2023-12-12T22:51:06.162869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6382
26.5%
1 4882
20.3%
5 3691
15.3%
4 2579
10.7%
2 2152
 
8.9%
3 1529
 
6.4%
9 1199
 
5.0%
6 655
 
2.7%
8 498
 
2.1%
7 486
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24053
> 99.9%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6382
26.5%
1 4882
20.3%
5 3691
15.3%
4 2579
10.7%
2 2152
 
8.9%
3 1529
 
6.4%
9 1199
 
5.0%
6 655
 
2.7%
8 498
 
2.1%
7 486
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
A 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24053
> 99.9%
Latin 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6382
26.5%
1 4882
20.3%
5 3691
15.3%
4 2579
10.7%
2 2152
 
8.9%
3 1529
 
6.4%
9 1199
 
5.0%
6 655
 
2.7%
8 498
 
2.1%
7 486
 
2.0%
Latin
ValueCountFrequency (%)
A 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24059
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6382
26.5%
1 4882
20.3%
5 3691
15.3%
4 2579
10.7%
2 2152
 
8.9%
3 1529
 
6.4%
9 1199
 
5.0%
6 655
 
2.7%
8 498
 
2.1%
7 486
 
2.0%

적용일자
Date

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
Minimum2010-01-31 00:00:00
Maximum2023-01-03 00:00:00
2023-12-12T22:51:06.304271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:06.401823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

분류번호
Text

Distinct308
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-12-12T22:51:06.597269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length6
Mean length5.1020535
Min length2

Characters and Unicode

Total characters16398
Distinct characters47
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)4.8%

Sample

1st row가1가(9)
2nd row가1가(9)
3rd row가1가(9)
4th row가1가(9)
5th row가1가(9)
ValueCountFrequency (%)
요51 672
 
20.9%
하12가 108
 
3.4%
가2마(2 90
 
2.8%
가2가(2 90
 
2.8%
가2나(2 90
 
2.8%
가2다(2 90
 
2.8%
가2라(2 90
 
2.8%
가2라(4 90
 
2.8%
가2다(4 90
 
2.8%
가2마(4 90
 
2.8%
Other values (298) 1722
53.4%
2023-12-12T22:51:07.016014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 2555
15.6%
2 2470
15.1%
) 2080
12.7%
( 2028
12.4%
1 1768
10.8%
5 862
 
5.3%
요 750
 
4.6%
나 575
 
3.5%
하 493
 
3.0%
4 480
 
2.9%
Other values (37) 2337
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6557
40.0%
Other Letter 5678
34.6%
Close Punctuation 2080
 
12.7%
Open Punctuation 2028
 
12.4%
Dash Punctuation 47
 
0.3%
Space Separator 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 2555
45.0%
요 750
 
13.2%
나 575
 
10.1%
하 493
 
8.7%
다 415
 
7.3%
라 324
 
5.7%
마 254
 
4.5%
주 88
 
1.5%
연 55
 
1.0%
파 37
 
0.7%
Other values (23) 132
 
2.3%
Decimal Number
ValueCountFrequency (%)
2 2470
37.7%
1 1768
27.0%
5 862
 
13.1%
4 480
 
7.3%
3 330
 
5.0%
6 268
 
4.1%
9 205
 
3.1%
0 92
 
1.4%
8 56
 
0.9%
7 26
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 2080
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2028
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10720
65.4%
Hangul 5678
34.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 2555
45.0%
요 750
 
13.2%
나 575
 
10.1%
하 493
 
8.7%
다 415
 
7.3%
라 324
 
5.7%
마 254
 
4.5%
주 88
 
1.5%
연 55
 
1.0%
파 37
 
0.7%
Other values (23) 132
 
2.3%
Common
ValueCountFrequency (%)
2 2470
23.0%
) 2080
19.4%
( 2028
18.9%
1 1768
16.5%
5 862
 
8.0%
4 480
 
4.5%
3 330
 
3.1%
6 268
 
2.5%
9 205
 
1.9%
0 92
 
0.9%
Other values (4) 137
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10720
65.4%
Hangul 5678
34.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 2555
45.0%
요 750
 
13.2%
나 575
 
10.1%
하 493
 
8.7%
다 415
 
7.3%
라 324
 
5.7%
마 254
 
4.5%
주 88
 
1.5%
연 55
 
1.0%
파 37
 
0.7%
Other values (23) 132
 
2.3%
ASCII
ValueCountFrequency (%)
2 2470
23.0%
) 2080
19.4%
( 2028
18.9%
1 1768
16.5%
5 862
 
8.0%
4 480
 
4.5%
3 330
 
3.1%
6 268
 
2.5%
9 205
 
1.9%
0 92
 
0.9%
Other values (4) 137
 
1.3%

한글명
Text

Distinct553
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
2023-12-12T22:51:07.243208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length67
Mean length29.681394
Min length4

Characters and Unicode

Total characters95396
Distinct characters258
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)6.5%

Sample

1st row초진진찰료-한의원, 국립병원내의 한방진료부, 상급종합병원·종합병원·병원·정신병원·요양병원·치과병원·보건의료원 내 한의과
2nd row초진진찰료-한의원, 국립병원내의 한방진료부, 상급종합병원·종합병원·병원·정신병원·요양병원·치과병원·보건의료원 내 한의과
3rd row초진진찰료-한의원, 국립병원내의 한방진료부, 상급종합병원·종합병원·병원·정신병원·요양병원·치과병원·보건의료원 내 한의과
4th row초진진찰료-한의원,보건의료원 내 한의과
5th row초진진찰료-한의원, 국립병원내의 한방진료부, 상급종합병원·종합병원·병원·정신병원·요양병원·치과병원·보건의료원 내 한의과
ValueCountFrequency (%)
한의과 1442
 
11.0%
내 733
 
5.6%
한방입원료 700
 
5.4%
요양병원 694
 
5.3%
간호관리료 586
 
4.5%
한방병원 513
 
3.9%
적용 420
 
3.2%
종합병원 416
 
3.2%
상급종합병원 331
 
2.5%
병원·정신병원·치과병원 316
 
2.4%
Other values (534) 6925
53.0%
2023-12-12T22:51:07.717545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9862
 
10.3%
원 7267
 
7.6%
료 4657
 
4.9%
병 4321
 
4.5%
의 3441
 
3.6%
한 3386
 
3.5%
급 2547
 
2.7%
등 2373
 
2.5%
입 2330
 
2.4%
간 2304
 
2.4%
Other values (248) 52908
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73634
77.2%
Space Separator 9862
 
10.3%
Decimal Number 4633
 
4.9%
Other Punctuation 3988
 
4.2%
Dash Punctuation 1509
 
1.6%
Open Punctuation 873
 
0.9%
Close Punctuation 873
 
0.9%
Letter Number 14
 
< 0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 7267
 
9.9%
료 4657
 
6.3%
병 4321
 
5.9%
의 3441
 
4.7%
한 3386
 
4.6%
급 2547
 
3.5%
등 2373
 
3.2%
입 2330
 
3.2%
간 2304
 
3.1%
호 2232
 
3.0%
Other values (224) 38776
52.7%
Decimal Number
ValueCountFrequency (%)
1 1035
22.3%
2 818
17.7%
4 792
17.1%
3 747
16.1%
5 727
15.7%
7 214
 
4.6%
6 123
 
2.7%
8 115
 
2.5%
0 40
 
0.9%
9 22
 
0.5%
Other Punctuation
ValueCountFrequency (%)
· 2013
50.5%
, 1789
44.9%
: 106
 
2.7%
/ 55
 
1.4%
% 25
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 831
95.2%
[ 42
 
4.8%
Close Punctuation
ValueCountFrequency (%)
) 831
95.2%
] 42
 
4.8%
Letter Number
ValueCountFrequency (%)
Ⅰ 7
50.0%
Ⅱ 7
50.0%
Space Separator
ValueCountFrequency (%)
9862
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1509
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73634
77.2%
Common 21748
 
22.8%
Latin 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 7267
 
9.9%
료 4657
 
6.3%
병 4321
 
5.9%
의 3441
 
4.7%
한 3386
 
4.6%
급 2547
 
3.5%
등 2373
 
3.2%
입 2330
 
3.2%
간 2304
 
3.1%
호 2232
 
3.0%
Other values (224) 38776
52.7%
Common
ValueCountFrequency (%)
9862
45.3%
· 2013
 
9.3%
, 1789
 
8.2%
- 1509
 
6.9%
1 1035
 
4.8%
( 831
 
3.8%
) 831
 
3.8%
2 818
 
3.8%
4 792
 
3.6%
3 747
 
3.4%
Other values (12) 1521
 
7.0%
Latin
ValueCountFrequency (%)
Ⅰ 7
50.0%
Ⅱ 7
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73634
77.2%
ASCII 19735
 
20.7%
None 2013
 
2.1%
Number Forms 14
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9862
50.0%
, 1789
 
9.1%
- 1509
 
7.6%
1 1035
 
5.2%
( 831
 
4.2%
) 831
 
4.2%
2 818
 
4.1%
4 792
 
4.0%
3 747
 
3.8%
5 727
 
3.7%
Other values (11) 794
 
4.0%
Hangul
ValueCountFrequency (%)
원 7267
 
9.9%
료 4657
 
6.3%
병 4321
 
5.9%
의 3441
 
4.7%
한 3386
 
4.6%
급 2547
 
3.5%
등 2373
 
3.2%
입 2330
 
3.2%
간 2304
 
3.1%
호 2232
 
3.0%
Other values (224) 38776
52.7%
None
ValueCountFrequency (%)
· 2013
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 7
50.0%
Ⅱ 7
50.0%

산정명칭
Text

MISSING 

Distinct103
Distinct (%)3.9%
Missing551
Missing (%)17.1%
Memory size25.2 KiB
2023-12-12T22:51:07.973440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length29
Mean length12.739767
Min length2

Characters and Unicode

Total characters33926
Distinct characters114
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row야간
2nd row야간-차등수가제외
3rd row토요09-13
4th row공휴
5th row만1세미만
ValueCountFrequency (%)
내.소.정신과 858
17.0%
18-24시퇴원 437
 
8.7%
0-6시입원 437
 
8.7%
입원 336
 
6.7%
병실입원 336
 
6.7%
이상 336
 
6.7%
9인 336
 
6.7%
입원31일부터 285
 
5.6%
입원16-30일 276
 
5.5%
내,소,정신과 168
 
3.3%
Other values (90) 1241
24.6%
2023-12-12T22:51:08.358876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2383
 
7.0%
원 2130
 
6.3%
1 1835
 
5.4%
. 1716
 
5.1%
입 1687
 
5.0%
, 1572
 
4.6%
- 1457
 
4.3%
일 1143
 
3.4%
신 1120
 
3.3%
6 1119
 
3.3%
Other values (104) 17764
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19398
57.2%
Decimal Number 6939
 
20.5%
Other Punctuation 3288
 
9.7%
Space Separator 2383
 
7.0%
Dash Punctuation 1457
 
4.3%
Math Symbol 397
 
1.2%
Close Punctuation 32
 
0.1%
Open Punctuation 32
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 2130
 
11.0%
입 1687
 
8.7%
일 1143
 
5.9%
신 1120
 
5.8%
정 1046
 
5.4%
내 1038
 
5.4%
소 1034
 
5.3%
과 1026
 
5.3%
시 890
 
4.6%
만 889
 
4.6%
Other values (86) 7395
38.1%
Decimal Number
ValueCountFrequency (%)
1 1835
26.4%
6 1119
16.1%
0 952
13.7%
3 800
11.5%
2 681
 
9.8%
8 549
 
7.9%
4 437
 
6.3%
9 342
 
4.9%
7 224
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 1716
52.2%
, 1572
47.8%
Close Punctuation
ValueCountFrequency (%)
) 24
75.0%
」 8
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 24
75.0%
「 8
 
25.0%
Space Separator
ValueCountFrequency (%)
2383
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1457
100.0%
Math Symbol
ValueCountFrequency (%)
~ 397
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19398
57.2%
Common 14528
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 2130
 
11.0%
입 1687
 
8.7%
일 1143
 
5.9%
신 1120
 
5.8%
정 1046
 
5.4%
내 1038
 
5.4%
소 1034
 
5.3%
과 1026
 
5.3%
시 890
 
4.6%
만 889
 
4.6%
Other values (86) 7395
38.1%
Common
ValueCountFrequency (%)
2383
16.4%
1 1835
12.6%
. 1716
11.8%
, 1572
10.8%
- 1457
10.0%
6 1119
7.7%
0 952
 
6.6%
3 800
 
5.5%
2 681
 
4.7%
8 549
 
3.8%
Other values (8) 1464
10.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19398
57.2%
ASCII 14512
42.8%
None 16
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2383
16.4%
1 1835
12.6%
. 1716
11.8%
, 1572
10.8%
- 1457
10.0%
6 1119
7.7%
0 952
 
6.6%
3 800
 
5.5%
2 681
 
4.7%
8 549
 
3.8%
Other values (6) 1448
10.0%
Hangul
ValueCountFrequency (%)
원 2130
 
11.0%
입 1687
 
8.7%
일 1143
 
5.9%
신 1120
 
5.8%
정 1046
 
5.4%
내 1038
 
5.4%
소 1034
 
5.3%
과 1026
 
5.3%
시 890
 
4.6%
만 889
 
4.6%
Other values (86) 7395
38.1%
None
ValueCountFrequency (%)
「 8
50.0%
」 8
50.0%

1_2구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
1
2654 
2
560 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 2654
82.6%
2 560
 
17.4%

Length

2023-12-12T22:51:08.489726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:51:08.580246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 2654
82.6%
2 560
 
17.4%

시술구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
0
2772 
9
441 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0009334
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 2772
86.2%
9 441
 
13.7%
<NA> 1
 
< 0.1%

Length

2023-12-12T22:51:08.679005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:51:08.784683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2772
86.2%
9 441
 
13.7%
na 1
 
< 0.1%

한방병의원단가
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct777
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16582.138
Minimum0
Maximum301290
Zeros1742
Zeros (%)54.2%
Negative0
Negative (%)0.0%
Memory size28.4 KiB
2023-12-12T22:51:08.904700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q318137.5
95-th percentile83173.5
Maximum301290
Range301290
Interquartile range (IQR)18137.5

Descriptive statistics

Standard deviation30900.268
Coefficient of variation (CV)1.8634671
Kurtosis8.6225399
Mean16582.138
Median Absolute Deviation (MAD)0
Skewness2.5915891
Sum53294990
Variance9.5482655 × 108
MonotonicityNot monotonic
2023-12-12T22:51:09.059831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1742
54.2%
6670 42
 
1.3%
5000 39
 
1.2%
6000 26
 
0.8%
8340 26
 
0.8%
6480 20
 
0.6%
8090 19
 
0.6%
3340 13
 
0.4%
4340 13
 
0.4%
9710 12
 
0.4%
Other values (767) 1262
39.3%
ValueCountFrequency (%)
0 1742
54.2%
210 1
 
< 0.1%
310 1
 
< 0.1%
520 1
 
< 0.1%
540 1
 
< 0.1%
590 1
 
< 0.1%
640 1
 
< 0.1%
970 2
 
0.1%
1060 1
 
< 0.1%
1100 1
 
< 0.1%
ValueCountFrequency (%)
301290 1
< 0.1%
241030 1
< 0.1%
233360 1
< 0.1%
209220 1
< 0.1%
200860 1
< 0.1%
185080 1
< 0.1%
183460 1
< 0.1%
174660 1
< 0.1%
169210 1
< 0.1%
165110 1
< 0.1%

병원단가
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct1648
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38029.701
Minimum0
Maximum477440
Zeros330
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size28.4 KiB
2023-12-12T22:51:09.254576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15835
median22785
Q356542.5
95-th percentile120632
Maximum477440
Range477440
Interquartile range (IQR)50707.5

Descriptive statistics

Standard deviation44813.509
Coefficient of variation (CV)1.1783818
Kurtosis12.227428
Mean38029.701
Median Absolute Deviation (MAD)19005
Skewness2.563561
Sum1.2222746 × 108
Variance2.0082506 × 109
MonotonicityNot monotonic
2023-12-12T22:51:09.414845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 330
 
10.3%
5570 42
 
1.3%
4180 39
 
1.2%
5020 26
 
0.8%
6970 26
 
0.8%
6760 22
 
0.7%
5410 17
 
0.5%
3620 13
 
0.4%
2790 13
 
0.4%
8120 12
 
0.4%
Other values (1638) 2674
83.2%
ValueCountFrequency (%)
0 330
10.3%
70 1
 
< 0.1%
80 1
 
< 0.1%
150 2
 
0.1%
210 1
 
< 0.1%
220 1
 
< 0.1%
250 1
 
< 0.1%
260 1
 
< 0.1%
300 3
 
0.1%
320 1
 
< 0.1%
ValueCountFrequency (%)
477440 1
< 0.1%
441390 1
< 0.1%
428050 1
< 0.1%
378660 1
< 0.1%
353110 1
< 0.1%
344820 1
< 0.1%
329270 1
< 0.1%
320490 1
< 0.1%
307050 1
< 0.1%
287340 1
< 0.1%

보건기관단가
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct322
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4236.2321
Minimum0
Maximum131590
Zeros2387
Zeros (%)74.3%
Negative0
Negative (%)0.0%
Memory size28.4 KiB
2023-12-12T22:51:09.555886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31785
95-th percentile29100
Maximum131590
Range131590
Interquartile range (IQR)1785

Descriptive statistics

Standard deviation12075.22
Coefficient of variation (CV)2.8504624
Kurtosis21.915907
Mean4236.2321
Median Absolute Deviation (MAD)0
Skewness4.3002196
Sum13615250
Variance1.4581095 × 108
MonotonicityNot monotonic
2023-12-12T22:51:09.711209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2387
74.3%
6360 42
 
1.3%
4770 39
 
1.2%
5730 26
 
0.8%
7950 26
 
0.8%
7720 21
 
0.7%
6180 20
 
0.6%
4140 13
 
0.4%
3180 13
 
0.4%
9270 12
 
0.4%
Other values (312) 615
 
19.1%
ValueCountFrequency (%)
0 2387
74.3%
210 1
 
< 0.1%
540 1
 
< 0.1%
590 1
 
< 0.1%
930 2
 
0.1%
1060 1
 
< 0.1%
1100 1
 
< 0.1%
1200 1
 
< 0.1%
1210 1
 
< 0.1%
1300 2
 
0.1%
ValueCountFrequency (%)
131590 1
< 0.1%
116110 1
< 0.1%
102710 1
< 0.1%
93110 1
< 0.1%
92880 1
< 0.1%
87940 1
< 0.1%
83800 1
< 0.1%
82770 1
< 0.1%
79150 2
0.1%
77590 2
0.1%

치과병원단가
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct489
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7945.7592
Minimum0
Maximum293710
Zeros2232
Zeros (%)69.4%
Negative0
Negative (%)0.0%
Memory size28.4 KiB
2023-12-12T22:51:09.876896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34880
95-th percentile54500
Maximum293710
Range293710
Interquartile range (IQR)4880

Descriptive statistics

Standard deviation21851.626
Coefficient of variation (CV)2.7500992
Kurtosis29.52406
Mean7945.7592
Median Absolute Deviation (MAD)0
Skewness4.5608803
Sum25537670
Variance4.7749355 × 108
MonotonicityNot monotonic
2023-12-12T22:51:10.050804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2232
69.4%
6500 42
 
1.3%
4880 39
 
1.2%
8130 26
 
0.8%
5850 26
 
0.8%
7890 21
 
0.7%
4230 17
 
0.5%
6310 17
 
0.5%
3250 13
 
0.4%
9470 12
 
0.4%
Other values (479) 769
 
23.9%
ValueCountFrequency (%)
0 2232
69.4%
210 1
 
< 0.1%
540 1
 
< 0.1%
590 1
 
< 0.1%
950 2
 
0.1%
1090 1
 
< 0.1%
1100 1
 
< 0.1%
1150 1
 
< 0.1%
1230 1
 
< 0.1%
1240 1
 
< 0.1%
ValueCountFrequency (%)
293710 1
< 0.1%
234970 1
< 0.1%
227490 1
< 0.1%
203950 1
< 0.1%
195800 1
< 0.1%
180420 1
< 0.1%
170270 1
< 0.1%
156890 1
< 0.1%
154790 1
< 0.1%
146850 2
0.1%

상대가치점수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1923
Distinct (%)61.0%
Missing59
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean522.65995
Minimum0.82
Maximum5990.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.4 KiB
2023-12-12T22:51:10.211716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.82
5-th percentile42.389
Q1132.735
median358.1
Q3737.25
95-th percentile1518.661
Maximum5990.46
Range5989.64
Interquartile range (IQR)604.515

Descriptive statistics

Standard deviation548.18029
Coefficient of variation (CV)1.0488278
Kurtosis13.200823
Mean522.65995
Median Absolute Deviation (MAD)266.46
Skewness2.6404596
Sum1648992.1
Variance300501.63
MonotonicityNot monotonic
2023-12-12T22:51:10.361343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69.92 39
 
1.2%
52.44 39
 
1.2%
62.93 26
 
0.8%
87.4 26
 
0.8%
84.85 19
 
0.6%
67.88 17
 
0.5%
45.45 13
 
0.4%
34.96 13
 
0.4%
94.51 12
 
0.4%
101.82 12
 
0.4%
Other values (1913) 2939
91.4%
(Missing) 59
 
1.8%
ValueCountFrequency (%)
0.82 1
< 0.1%
0.95 1
< 0.1%
1.9 2
0.1%
2.72 1
< 0.1%
3.08 1
< 0.1%
3.3 1
< 0.1%
3.8 2
0.1%
3.81 1
< 0.1%
4.03 1
< 0.1%
5.5 1
< 0.1%
ValueCountFrequency (%)
5990.46 1
< 0.1%
5538.14 1
< 0.1%
5370.76 1
< 0.1%
4751.05 1
< 0.1%
4430.51 1
< 0.1%
4326.53 1
< 0.1%
4131.35 1
< 0.1%
4021.24 1
< 0.1%
3852.62 1
< 0.1%
3605.25 1
< 0.1%

장구분
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size25.2 KiB
1
1788 
요양병원
752 
14
496 
4
 
55
호스피스
 
55
Other values (5)
 
68

Length

Max length4
Median length1
Mean length1.9306161
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1788
55.6%
요양병원 752
23.4%
14 496
 
15.4%
4 55
 
1.7%
호스피스 55
 
1.7%
17 34
 
1.1%
0 10
 
0.3%
13 9
 
0.3%
의료급여 8
 
0.2%
12 7
 
0.2%

Length

2023-12-12T22:51:10.521995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:51:10.667507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1788
55.6%
요양병원 752
23.4%
14 496
 
15.4%
4 55
 
1.7%
호스피스 55
 
1.7%
17 34
 
1.1%
0 10
 
0.3%
13 9
 
0.3%
의료급여 8
 
0.2%
12 7
 
0.2%

Interactions

2023-12-12T22:51:04.560172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:02.545022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:03.056493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:03.578259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:04.054197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:04.651316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:02.651099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:03.197418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:03.672688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:04.144975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:04.756859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:02.765943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:03.292025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:03.788680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:04.257899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:04.857620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:02.864496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:03.378921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:03.879137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:04.358837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:04.953845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:02.952238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:03.474038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:03.966666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:04.471672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:51:10.767393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
적용일자1_2구분시술구분한방병의원단가병원단가보건기관단가치과병원단가상대가치점수장구분
적용일자1.0000.0000.0000.0000.0000.0000.000NaN0.787
1_2구분0.0001.0000.9780.2190.3860.2150.1630.4121.000
시술구분0.0000.9781.0000.1980.3340.1360.1550.3560.994
한방병의원단가0.0000.2190.1981.0000.5900.4900.9240.6160.308
병원단가0.0000.3860.3340.5901.0000.1260.6561.0000.487
보건기관단가0.0000.2150.1360.4900.1261.0000.0000.2710.232
치과병원단가0.0000.1630.1550.9240.6560.0001.0000.6510.244
상대가치점수NaN0.4120.3560.6161.0000.2710.6511.0000.393
장구분0.7871.0000.9940.3080.4870.2320.2440.3931.000
2023-12-12T22:51:10.914467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시술구분장구분1_2구분
시술구분1.0000.9320.867
장구분0.9321.0000.999
1_2구분0.8670.9991.000
2023-12-12T22:51:11.038934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
한방병의원단가병원단가보건기관단가치과병원단가상대가치점수1_2구분시술구분장구분
한방병의원단가1.000-0.2140.4600.599-0.0140.2190.1970.145
병원단가-0.2141.000-0.614-0.1390.8500.2960.2560.168
보건기관단가0.460-0.6141.0000.399-0.4300.1640.1040.073
치과병원단가0.599-0.1390.3991.000-0.2830.1250.1180.077
상대가치점수-0.0140.850-0.430-0.2831.0000.3160.2730.199
1_2구분0.2190.2960.1640.1250.3161.0000.8670.999
시술구분0.1970.2560.1040.1180.2730.8671.0000.932
장구분0.1450.1680.0730.0770.1990.9990.9321.000

Missing values

2023-12-12T22:51:05.078622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:51:05.235162image/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.
2023-12-12T22:51:05.348172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

수가코드적용일자분류번호한글명산정명칭1_2구분시술구분한방병의원단가병원단가보건기관단가치과병원단가상대가치점수장구분
0101002023-01-01가1가(9)초진진찰료-한의원, 국립병원내의 한방진료부, 상급종합병원·종합병원·병원·정신병원·요양병원·치과병원·보건의료원 내 한의과<NA>1014510121201384014140152.061
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