Overview

Dataset statistics

Number of variables26
Number of observations8911
Missing cells41536
Missing cells (%)17.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory226.0 B

Variable types

Text4
Categorical4
Numeric18

Dataset

Description상대가치(관리진료과 등) 통계 / 대상: 건강보험 / 작성기준: 심사년월 / 의료행위통계는 요양기관에서 청구한 요양급여비용 명세서에 대한 심사결정 내용을 기준으로 작성되었습니다. / 행위별 항목은 현재 등재된 행위 항목에 관한 건강보험 진료내역입니다.(제외코드: 금액제 고시 항목, 포괄수가영역의 진료내역, 시범사업 및 기타 정액수가 행위 등)/관리진료과는 상대가치점수 개정연구시, 행위단위의 상대가치 관리하는 대표진료과를 의미하며, 요양급여비용 청구명세서 상 병원은 진료과목(의원은 표시과목)과는 다른 개념입니다. / 장/절분류는 건강보험요양급여비용 책자에 분류된 행위그룹을 의미합니다. / 대상:건강보험, 작성기준: 심사년월
URLhttps://www.data.go.kr/data/15077713/fileData.do

Alerts

의치한약구분 is highly imbalanced (72.0%)Imbalance
삭제코드 is highly imbalanced (69.7%)Imbalance
2014년총사용량실시횟수 has 3243 (36.4%) missing valuesMissing
2014년가산적용금액 has 3243 (36.4%) missing valuesMissing
2015년총사용량실시횟수 has 3126 (35.1%) missing valuesMissing
2015년가산적용금액 has 3126 (35.1%) missing valuesMissing
2016년총사용량실시횟수 has 2922 (32.8%) missing valuesMissing
2016년가산적용금액 has 2922 (32.8%) missing valuesMissing
2017년총사용량실시횟수 has 2622 (29.4%) missing valuesMissing
2017년가산적용금액 has 2622 (29.4%) missing valuesMissing
2018년총사용량실시횟수 has 1814 (20.4%) missing valuesMissing
2018년가산적용금액 has 1814 (20.4%) missing valuesMissing
2019년총사용량실시횟수 has 1712 (19.2%) missing valuesMissing
2019년가산적용금액 has 1712 (19.2%) missing valuesMissing
2020년총사용량실시횟수 has 1692 (19.0%) missing valuesMissing
2020년가산적용금액 has 1692 (19.0%) missing valuesMissing
2021년총사용량실시횟수 has 1829 (20.5%) missing valuesMissing
2021년가산적용금액 has 1829 (20.5%) missing valuesMissing
2022년총사용량실시횟수 has 1808 (20.3%) missing valuesMissing
2022년가산적용금액 has 1808 (20.3%) missing valuesMissing
2014년총사용량실시횟수 is highly skewed (γ1 = 27.57077279)Skewed
2014년가산적용금액 is highly skewed (γ1 = 41.13772245)Skewed
2015년총사용량실시횟수 is highly skewed (γ1 = 27.8330897)Skewed
2015년가산적용금액 is highly skewed (γ1 = 41.35228484)Skewed
2016년총사용량실시횟수 is highly skewed (γ1 = 28.30623004)Skewed
2016년가산적용금액 is highly skewed (γ1 = 42.07109587)Skewed
2017년총사용량실시횟수 is highly skewed (γ1 = 29.07737449)Skewed
2017년가산적용금액 is highly skewed (γ1 = 42.86268996)Skewed
2018년총사용량실시횟수 is highly skewed (γ1 = 29.90725079)Skewed
2018년가산적용금액 is highly skewed (γ1 = 44.63970069)Skewed
2019년총사용량실시횟수 is highly skewed (γ1 = 29.56403809)Skewed
2019년가산적용금액 is highly skewed (γ1 = 44.14017881)Skewed
2020년총사용량실시횟수 is highly skewed (γ1 = 28.88031191)Skewed
2020년가산적용금액 is highly skewed (γ1 = 42.06886716)Skewed
2021년총사용량실시횟수 is highly skewed (γ1 = 28.01685566)Skewed
2021년가산적용금액 is highly skewed (γ1 = 39.13100142)Skewed
2022년총사용량실시횟수 is highly skewed (γ1 = 29.1479562)Skewed
2022년가산적용금액 is highly skewed (γ1 = 40.30461892)Skewed
수가코드 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:56:56.080582
Analysis finished2023-12-12 20:56:57.580568
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

수가코드
Text

UNIQUE 

Distinct8911
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size69.7 KiB
2023-12-13T05:56:57.873416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters44555
Distinct characters34
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

Unique8911 ?
Unique (%)100.0%

Sample

1st row10100
2nd row10101
3rd row10102
4th row10103
5th row10200
ValueCountFrequency (%)
10100 1
 
< 0.1%
n0022 1
 
< 0.1%
mx141 1
 
< 0.1%
n0041 1
 
< 0.1%
n0026 1
 
< 0.1%
n0025 1
 
< 0.1%
n0024 1
 
< 0.1%
n0023 1
 
< 0.1%
n0043 1
 
< 0.1%
n0042 1
 
< 0.1%
Other values (8901) 8901
99.9%
2023-12-13T05:56:58.417408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5373
12.1%
1 5230
11.7%
2 4201
 
9.4%
3 3618
 
8.1%
4 3552
 
8.0%
5 3154
 
7.1%
6 2604
 
5.8%
7 2417
 
5.4%
8 1589
 
3.6%
9 1439
 
3.2%
Other values (24) 11378
25.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33177
74.5%
Uppercase Letter 11378
 
25.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 1202
 
10.6%
A 1150
 
10.1%
H 1093
 
9.6%
D 994
 
8.7%
B 675
 
5.9%
E 674
 
5.9%
N 616
 
5.4%
Q 499
 
4.4%
O 493
 
4.3%
R 486
 
4.3%
Other values (14) 3496
30.7%
Decimal Number
ValueCountFrequency (%)
0 5373
16.2%
1 5230
15.8%
2 4201
12.7%
3 3618
10.9%
4 3552
10.7%
5 3154
9.5%
6 2604
7.8%
7 2417
7.3%
8 1589
 
4.8%
9 1439
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Common 33177
74.5%
Latin 11378
 
25.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 1202
 
10.6%
A 1150
 
10.1%
H 1093
 
9.6%
D 994
 
8.7%
B 675
 
5.9%
E 674
 
5.9%
N 616
 
5.4%
Q 499
 
4.4%
O 493
 
4.3%
R 486
 
4.3%
Other values (14) 3496
30.7%
Common
ValueCountFrequency (%)
0 5373
16.2%
1 5230
15.8%
2 4201
12.7%
3 3618
10.9%
4 3552
10.7%
5 3154
9.5%
6 2604
7.8%
7 2417
7.3%
8 1589
 
4.8%
9 1439
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44555
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5373
12.1%
1 5230
11.7%
2 4201
 
9.4%
3 3618
 
8.1%
4 3552
 
8.0%
5 3154
 
7.1%
6 2604
 
5.8%
7 2417
 
5.4%
8 1589
 
3.6%
9 1439
 
3.2%
Other values (24) 11378
25.5%

분류번호
Text

Distinct8140
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size69.7 KiB
2023-12-13T05:56:58.778693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length6.6185613
Min length2

Characters and Unicode

Total characters58978
Distinct characters47
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7834 ?
Unique (%)87.9%

Sample

1st row가1가(9)
2nd row가1가(10)
3rd row가1가(11)
4th row가1가(12)
5th row가1나(9)
ValueCountFrequency (%)
다1절주3 20
 
0.2%
가9가(2 20
 
0.2%
가9가(1 20
 
0.2%
다3절주4 20
 
0.2%
가2다(2 18
 
0.2%
가2마(2 18
 
0.2%
가2라(2 18
 
0.2%
가2나(2 18
 
0.2%
가2가(2 18
 
0.2%
가2나(3 13
 
0.1%
Other values (8130) 8728
97.9%
2023-12-13T05:56:59.233554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5555
 
9.4%
) 5553
 
9.4%
2 5352
 
9.1%
( 4688
 
7.9%
나 4436
 
7.5%
가 4295
 
7.3%
4 3496
 
5.9%
3 2956
 
5.0%
자 2786
 
4.7%
6 2756
 
4.7%
Other values (37) 17105
29.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28865
48.9%
Other Letter 18735
31.8%
Close Punctuation 5553
 
9.4%
Open Punctuation 4688
 
7.9%
Dash Punctuation 1136
 
1.9%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
나 4436
23.7%
가 4295
22.9%
자 2786
14.9%
다 2381
12.7%
주 1206
 
6.4%
누 873
 
4.7%
라 688
 
3.7%
마 453
 
2.4%
너 371
 
2.0%
바 289
 
1.5%
Other values (23) 957
 
5.1%
Decimal Number
ValueCountFrequency (%)
1 5555
19.2%
2 5352
18.5%
4 3496
12.1%
3 2956
10.2%
6 2756
9.5%
5 2414
8.4%
7 1864
 
6.5%
0 1811
 
6.3%
8 1364
 
4.7%
9 1297
 
4.5%
Close Punctuation
ValueCountFrequency (%)
) 5553
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4688
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1136
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40243
68.2%
Hangul 18735
31.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
나 4436
23.7%
가 4295
22.9%
자 2786
14.9%
다 2381
12.7%
주 1206
 
6.4%
누 873
 
4.7%
라 688
 
3.7%
마 453
 
2.4%
너 371
 
2.0%
바 289
 
1.5%
Other values (23) 957
 
5.1%
Common
ValueCountFrequency (%)
1 5555
13.8%
) 5553
13.8%
2 5352
13.3%
( 4688
11.6%
4 3496
8.7%
3 2956
7.3%
6 2756
6.8%
5 2414
6.0%
7 1864
 
4.6%
0 1811
 
4.5%
Other values (4) 3798
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40242
68.2%
Hangul 18735
31.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5555
13.8%
) 5553
13.8%
2 5352
13.3%
( 4688
11.6%
4 3496
8.7%
3 2956
7.3%
6 2756
6.8%
5 2414
6.0%
7 1864
 
4.6%
0 1811
 
4.5%
Other values (3) 3797
9.4%
Hangul
ValueCountFrequency (%)
나 4436
23.7%
가 4295
22.9%
자 2786
14.9%
다 2381
12.7%
주 1206
 
6.4%
누 873
 
4.7%
라 688
 
3.7%
마 453
 
2.4%
너 371
 
2.0%
바 289
 
1.5%
Other values (23) 957
 
5.1%
None
ValueCountFrequency (%)
· 1
100.0%

한글명
Text

Distinct8692
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size69.7 KiB
2023-12-13T05:56:59.473589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length148
Median length68
Mean length21.869599
Min length1

Characters and Unicode

Total characters194880
Distinct characters706
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8492 ?
Unique (%)95.3%

Sample

1st row초진진찰료-한의원,국립병원내의한방진료부,상급종합병원·종합병원·병원·정신병원·요양병원·치과병원·보건의료원내한의과
2nd row초진진찰료-한방병원
3rd row초진진찰료-상급종합병원에설치된경우를제외한한의과대학부속한방병원
4th row초진진찰료-상급종합병원에설치된한의과대학부속한방병원
5th row재진진찰료-한의원,국립병원내의한방진료부,상급종합병원·종합병원·병원·정신병원·요양병원·치과병원·보건의료원내한의과
ValueCountFrequency (%)
핵산증폭-정성그룹2 8
 
0.1%
핵산증폭-정성그룹1 6
 
0.1%
입원환자안전관리료-종합병원-500병상이상 4
 
< 0.1%
염기서열분석-유전자형그룹3 4
 
< 0.1%
입원환자안전관리료-상급종합병원 4
 
< 0.1%
염기서열분석-약제내성그룹2 3
 
< 0.1%
핵산증폭-정성그룹3 3
 
< 0.1%
야간간호료-종합병원 3
 
< 0.1%
입원환자안전관리료-병원 2
 
< 0.1%
입원환자안전관리료-병원,정신병원(200병상이상 2
 
< 0.1%
Other values (8682) 8872
99.6%
2023-12-13T05:56:59.936141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 8721
 
4.5%
술 3807
 
2.0%
원 3528
 
1.8%
사 3464
 
1.8%
) 3117
 
1.6%
( 3116
 
1.6%
료 2864
 
1.5%
정 2817
 
1.4%
기 2787
 
1.4%
검 2749
 
1.4%
Other values (696) 157910
81.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 157271
80.7%
Dash Punctuation 8721
 
4.5%
Open Punctuation 5819
 
3.0%
Close Punctuation 5814
 
3.0%
Lowercase Letter 4978
 
2.6%
Decimal Number 4416
 
2.3%
Uppercase Letter 3848
 
2.0%
Other Punctuation 3611
 
1.9%
Math Symbol 135
 
0.1%
Letter Number 96
 
< 0.1%
Other values (4) 171
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
술 3807
 
2.4%
원 3528
 
2.2%
사 3464
 
2.2%
료 2864
 
1.8%
정 2817
 
1.8%
기 2787
 
1.8%
검 2749
 
1.7%
관 2575
 
1.6%
상 2288
 
1.5%
경 2256
 
1.4%
Other values (596) 128136
81.5%
Lowercase Letter
ValueCountFrequency (%)
e 636
12.8%
i 431
 
8.7%
o 366
 
7.4%
l 366
 
7.4%
a 363
 
7.3%
r 360
 
7.2%
n 322
 
6.5%
m 318
 
6.4%
t 304
 
6.1%
c 278
 
5.6%
Other values (20) 1234
24.8%
Uppercase Letter
ValueCountFrequency (%)
C 465
12.1%
A 424
 
11.0%
I 288
 
7.5%
L 257
 
6.7%
T 242
 
6.3%
P 226
 
5.9%
S 212
 
5.5%
H 206
 
5.4%
D 198
 
5.1%
B 192
 
5.0%
Other values (16) 1138
29.6%
Decimal Number
ValueCountFrequency (%)
1 1528
34.6%
2 731
16.6%
3 536
 
12.1%
5 466
 
10.6%
0 399
 
9.0%
4 318
 
7.2%
7 123
 
2.8%
6 120
 
2.7%
8 108
 
2.4%
9 87
 
2.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 31
32.3%
Ⅰ 24
25.0%
Ⅲ 17
17.7%
Ⅳ 7
 
7.3%
Ⅴ 5
 
5.2%
Ⅸ 3
 
3.1%
Ⅷ 3
 
3.1%
Ⅵ 2
 
2.1%
Ⅶ 2
 
2.1%
Ⅹ 2
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 2069
57.3%
· 1139
31.5%
/ 149
 
4.1%
. 94
 
2.6%
% 84
 
2.3%
: 60
 
1.7%
& 7
 
0.2%
' 7
 
0.2%
; 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 3116
53.5%
[ 2700
46.4%
［ 2
 
< 0.1%
{ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 3117
53.6%
] 2695
46.4%
］ 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 119
88.1%
∼ 14
 
10.4%
+ 2
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 8721
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 93
100.0%
Other Symbol
ValueCountFrequency (%)
㎠ 71
100.0%
Other Number
ValueCountFrequency (%)
² 6
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 157271
80.7%
Common 28687
 
14.7%
Latin 8913
 
4.6%
Greek 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
술 3807
 
2.4%
원 3528
 
2.2%
사 3464
 
2.2%
료 2864
 
1.8%
정 2817
 
1.8%
기 2787
 
1.8%
검 2749
 
1.7%
관 2575
 
1.6%
상 2288
 
1.5%
경 2256
 
1.4%
Other values (596) 128136
81.5%
Latin
ValueCountFrequency (%)
e 636
 
7.1%
C 465
 
5.2%
i 431
 
4.8%
A 424
 
4.8%
o 366
 
4.1%
l 366
 
4.1%
a 363
 
4.1%
r 360
 
4.0%
n 322
 
3.6%
m 318
 
3.6%
Other values (52) 4862
54.5%
Common
ValueCountFrequency (%)
- 8721
30.4%
) 3117
 
10.9%
( 3116
 
10.9%
[ 2700
 
9.4%
] 2695
 
9.4%
, 2069
 
7.2%
1 1528
 
5.3%
· 1139
 
4.0%
2 731
 
2.5%
3 536
 
1.9%
Other values (24) 2335
 
8.1%
Greek
ValueCountFrequency (%)
γ 3
33.3%
β 3
33.3%
α 2
22.2%
δ 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 157265
80.7%
ASCII 36269
 
18.6%
None 1158
 
0.6%
Number Forms 96
 
< 0.1%
CJK Compat 71
 
< 0.1%
Math Operators 14
 
< 0.1%
Compat Jamo 6
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 8721
24.0%
) 3117
 
8.6%
( 3116
 
8.6%
[ 2700
 
7.4%
] 2695
 
7.4%
, 2069
 
5.7%
1 1528
 
4.2%
2 731
 
2.0%
e 636
 
1.8%
3 536
 
1.5%
Other values (69) 10420
28.7%
Hangul
ValueCountFrequency (%)
술 3807
 
2.4%
원 3528
 
2.2%
사 3464
 
2.2%
료 2864
 
1.8%
정 2817
 
1.8%
기 2787
 
1.8%
검 2749
 
1.7%
관 2575
 
1.6%
상 2288
 
1.5%
경 2256
 
1.4%
Other values (595) 128130
81.5%
None
ValueCountFrequency (%)
· 1139
98.4%
² 6
 
0.5%
γ 3
 
0.3%
β 3
 
0.3%
［ 2
 
0.2%
］ 2
 
0.2%
α 2
 
0.2%
δ 1
 
0.1%
CJK Compat
ValueCountFrequency (%)
㎠ 71
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 31
32.3%
Ⅰ 24
25.0%
Ⅲ 17
17.7%
Ⅳ 7
 
7.3%
Ⅴ 5
 
5.2%
Ⅸ 3
 
3.1%
Ⅷ 3
 
3.1%
Ⅵ 2
 
2.1%
Ⅶ 2
 
2.1%
Ⅹ 2
 
2.1%
Math Operators
ValueCountFrequency (%)
∼ 14
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

의치한약구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size69.7 KiB
의과
8084 
한방
 
430
치과
 
356
약국
 
41

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의과 8084
90.7%
한방 430
 
4.8%
치과 356
 
4.0%
약국 41
 
0.5%

Length

2023-12-13T05:57:00.118739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:57:00.236465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의과 8084
90.7%
한방 430
 
4.8%
치과 356
 
4.0%
약국 41
 
0.5%

관리진료과
Text

Distinct65
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size69.7 KiB
2023-12-13T05:57:00.482173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5.1252385
Min length2

Characters and Unicode

Total characters45671
Distinct characters108
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row기본진료_진찰
2nd row기본진료_진찰
3rd row기본진료_진찰
4th row기본진료_진찰
5th row기본진료_진찰
ValueCountFrequency (%)
진단검사의학과 1736
19.5%
미지정 1076
 
12.1%
영상의학과 1018
 
11.4%
기본진료_입원 486
 
5.5%
정형외과 379
 
4.3%
이비인후과 306
 
3.4%
기본진료_기타 300
 
3.4%
핵의학과 287
 
3.2%
비뇨기과 249
 
2.8%
산부인과 233
 
2.6%
Other values (55) 2841
31.9%
2023-12-13T05:57:00.932794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 6720
 
14.7%
의 3465
 
7.6%
학 3399
 
7.4%
진 2715
 
5.9%
사 1829
 
4.0%
_ 1756
 
3.8%
검 1744
 
3.8%
기 1742
 
3.8%
단 1736
 
3.8%
정 1530
 
3.4%
Other values (98) 19035
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43915
96.2%
Connector Punctuation 1756
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 6720
 
15.3%
의 3465
 
7.9%
학 3399
 
7.7%
진 2715
 
6.2%
사 1829
 
4.2%
검 1744
 
4.0%
기 1742
 
4.0%
단 1736
 
4.0%
정 1530
 
3.5%
외 1451
 
3.3%
Other values (97) 17584
40.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1756
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43915
96.2%
Common 1756
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 6720
 
15.3%
의 3465
 
7.9%
학 3399
 
7.7%
진 2715
 
6.2%
사 1829
 
4.2%
검 1744
 
4.0%
기 1742
 
4.0%
단 1736
 
4.0%
정 1530
 
3.5%
외 1451
 
3.3%
Other values (97) 17584
40.0%
Common
ValueCountFrequency (%)
_ 1756
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43915
96.2%
ASCII 1756
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 6720
 
15.3%
의 3465
 
7.9%
학 3399
 
7.7%
진 2715
 
6.2%
사 1829
 
4.2%
검 1744
 
4.0%
기 1742
 
4.0%
단 1736
 
4.0%
정 1530
 
3.5%
외 1451
 
3.3%
Other values (97) 17584
40.0%
ASCII
ValueCountFrequency (%)
_ 1756
100.0%

장절분류
Categorical

Distinct34
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size69.7 KiB
제9장처치및수술료등제1절처치및수술료
2746 
제2장검사료제1절검체검사료
1888 
제1장기본진료료
1020 
제3장영상진단및방사선치료료제2절방사선특수영상진단료
764 
제2장검사료제3절기능검사료
567 
Other values (29)
1926 

Length

Max length31
Median length29
Mean length17.127371
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제1장기본진료료
2nd row제1장기본진료료
3rd row제1장기본진료료
4th row제1장기본진료료
5th row제1장기본진료료

Common Values

ValueCountFrequency (%)
제9장처치및수술료등제1절처치및수술료 2746
30.8%
제2장검사료제1절검체검사료 1888
21.2%
제1장기본진료료 1020
 
11.4%
제3장영상진단및방사선치료료제2절방사선특수영상진단료 764
 
8.6%
제2장검사료제3절기능검사료 567
 
6.4%
제3장영상진단및방사선치료료제1절방사선단순영상진단료 311
 
3.5%
제2장검사료제2절병리검사료 290
 
3.3%
제3장영상진단및방사선치료료제3절핵의학영상진단및골밀도검사료 164
 
1.8%
제2장검사료제4절내시경,천자및생검료 156
 
1.8%
제10장치과처치·수술료제3절구강악안면수술 113
 
1.3%
Other values (24) 892
 
10.0%

Length

2023-12-13T05:57:01.118623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제9장처치및수술료등제1절처치및수술료 2746
30.8%
제2장검사료제1절검체검사료 1888
21.2%
제1장기본진료료 1020
 
11.4%
제3장영상진단및방사선치료료제2절방사선특수영상진단료 764
 
8.6%
제2장검사료제3절기능검사료 567
 
6.4%
제3장영상진단및방사선치료료제1절방사선단순영상진단료 311
 
3.5%
제2장검사료제2절병리검사료 290
 
3.3%
제3장영상진단및방사선치료료제3절핵의학영상진단및골밀도검사료 164
 
1.8%
제2장검사료제4절내시경,천자및생검료 156
 
1.8%
제10장치과처치·수술료제3절구강악안면수술 113
 
1.3%
Other values (24) 892
 
10.0%

신설코드
Categorical

Distinct14
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size69.7 KiB
<NA>
5506 
신설_18년도
1029 
신설_19년도
554 
신설_17년도
 
338
신설_14년도
 
297
Other values (9)
1187 

Length

Max length7
Median length4
Mean length5.146336
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row신설_15년도
3rd row신설_18년도
4th row신설_18년도
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5506
61.8%
신설_18년도 1029
 
11.5%
신설_19년도 554
 
6.2%
신설_17년도 338
 
3.8%
신설_14년도 297
 
3.3%
신설_16년도 247
 
2.8%
신설_20년도 231
 
2.6%
신설_15년도 178
 
2.0%
신설_22년도 158
 
1.8%
신설_21년도 137
 
1.5%
Other values (4) 236
 
2.6%

Length

2023-12-13T05:57:01.276937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 5506
61.8%
신설_18년도 1029
 
11.5%
신설_19년도 554
 
6.2%
신설_17년도 338
 
3.8%
신설_14년도 297
 
3.3%
신설_16년도 247
 
2.8%
신설_20년도 231
 
2.6%
신설_15년도 178
 
2.0%
신설_22년도 158
 
1.8%
신설_21년도 137
 
1.5%
Other values (4) 236
 
2.6%

삭제코드
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size69.7 KiB
<NA>
7241 
삭제_17년도
1203 
삭제_19년도
 
109
삭제_15년도
 
90
삭제_18년도
 
61
Other values (5)
 
207

Length

Max length7
Median length4
Mean length4.5622265
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 7241
81.3%
삭제_17년도 1203
 
13.5%
삭제_19년도 109
 
1.2%
삭제_15년도 90
 
1.0%
삭제_18년도 61
 
0.7%
삭제_16년도 60
 
0.7%
삭제_20년도 52
 
0.6%
삭제_14년도 38
 
0.4%
삭제_22년도 37
 
0.4%
삭제_21년도 20
 
0.2%

Length

2023-12-13T05:57:01.436300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:57:01.576780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 7241
81.3%
삭제_17년도 1203
 
13.5%
삭제_19년도 109
 
1.2%
삭제_15년도 90
 
1.0%
삭제_18년도 61
 
0.7%
삭제_16년도 60
 
0.7%
삭제_20년도 52
 
0.6%
삭제_14년도 38
 
0.4%
삭제_22년도 37
 
0.4%
삭제_21년도 20
 
0.2%

2014년총사용량실시횟수
Real number (ℝ)

MISSING  SKEWED 

Distinct3642
Distinct (%)64.3%
Missing3243
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean1206984.6
Minimum1
Maximum5.353271 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:01.737486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q1108
median1561.5
Q328304.75
95-th percentile1464624.7
Maximum5.353271 × 108
Range5.353271 × 108
Interquartile range (IQR)28196.75

Descriptive statistics

Standard deviation15752990
Coefficient of variation (CV)13.051526
Kurtosis850.80213
Mean1206984.6
Median Absolute Deviation (MAD)1554.5
Skewness27.570773
Sum6.8411887 × 109
Variance2.481567 × 1014
MonotonicityNot monotonic
2023-12-13T05:57:01.910769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 105
 
1.2%
2 58
 
0.7%
3 49
 
0.5%
5 49
 
0.5%
4 47
 
0.5%
8 45
 
0.5%
9 41
 
0.5%
6 38
 
0.4%
11 30
 
0.3%
14 30
 
0.3%
Other values (3632) 5176
58.1%
(Missing) 3243
36.4%
ValueCountFrequency (%)
1 105
1.2%
2 58
0.7%
3 49
0.5%
4 47
0.5%
5 49
0.5%
6 38
 
0.4%
7 23
 
0.3%
8 45
0.5%
9 41
 
0.5%
10 21
 
0.2%
ValueCountFrequency (%)
535327096 1
< 0.1%
535324764 1
< 0.1%
487739408 1
< 0.1%
487577829 1
< 0.1%
375141647 1
< 0.1%
183083922 1
< 0.1%
180853666 1
< 0.1%
146313624 1
< 0.1%
142996259 1
< 0.1%
95762988 1
< 0.1%

2014년가산적용금액
Real number (ℝ)

MISSING  SKEWED 

Distinct5666
Distinct (%)> 99.9%
Missing3243
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean5.9011222 × 109
Minimum0
Maximum3.4331679 × 1012
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:02.071489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile453232
Q115731904
median1.2179669 × 108
Q39.682667 × 108
95-th percentile1.5999784 × 1010
Maximum3.4331679 × 1012
Range3.4331679 × 1012
Interquartile range (IQR)9.525348 × 108

Descriptive statistics

Standard deviation6.1820682 × 1010
Coefficient of variation (CV)10.476089
Kurtosis2055.2641
Mean5.9011222 × 109
Median Absolute Deviation (MAD)1.203908 × 108
Skewness41.137722
Sum3.3447561 × 1013
Variance3.8217968 × 1021
MonotonicityNot monotonic
2023-12-13T05:57:02.234475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
< 0.1%
2022904 2
 
< 0.1%
3580285602 1
 
< 0.1%
5159009658 1
 
< 0.1%
8253842 1
 
< 0.1%
59444774 1
 
< 0.1%
31095601 1
 
< 0.1%
30592036 1
 
< 0.1%
42983651 1
 
< 0.1%
1368188006 1
 
< 0.1%
Other values (5656) 5656
63.5%
(Missing) 3243
36.4%
ValueCountFrequency (%)
0 2
< 0.1%
4 1
< 0.1%
598 1
< 0.1%
1144 1
< 0.1%
1600 1
< 0.1%
2132 1
< 0.1%
3630 1
< 0.1%
4200 1
< 0.1%
4499 1
< 0.1%
4644 1
< 0.1%
ValueCountFrequency (%)
3433167893440 1
< 0.1%
2375193140881 1
< 0.1%
665201645150 1
< 0.1%
645264294610 1
< 0.1%
550464284829 1
< 0.1%
455152307743 1
< 0.1%
435730116350 1
< 0.1%
433796048510 1
< 0.1%
417995138980 1
< 0.1%
373773043363 1
< 0.1%

2015년총사용량실시횟수
Real number (ℝ)

MISSING  SKEWED 

Distinct3722
Distinct (%)64.3%
Missing3126
Missing (%)35.1%
Infinite0
Infinite (%)0.0%
Mean1196956.1
Minimum0
Maximum5.2755195 × 108
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:02.407126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q1112
median1618
Q332503
95-th percentile1563637.6
Maximum5.2755195 × 108
Range5.2755195 × 108
Interquartile range (IQR)32391

Descriptive statistics

Standard deviation15404160
Coefficient of variation (CV)12.869444
Kurtosis868.55504
Mean1196956.1
Median Absolute Deviation (MAD)1611
Skewness27.83309
Sum6.924391 × 109
Variance2.3728813 × 1014
MonotonicityNot monotonic
2023-12-13T05:57:02.554091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 95
 
1.1%
2 79
 
0.9%
4 46
 
0.5%
5 44
 
0.5%
8 43
 
0.5%
3 43
 
0.5%
7 39
 
0.4%
6 37
 
0.4%
12 34
 
0.4%
9 30
 
0.3%
Other values (3712) 5295
59.4%
(Missing) 3126
35.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 95
1.1%
2 79
0.9%
3 43
0.5%
4 46
0.5%
5 44
0.5%
6 37
 
0.4%
7 39
0.4%
8 43
0.5%
9 30
 
0.3%
ValueCountFrequency (%)
527551946 1
< 0.1%
527551150 1
< 0.1%
484546391 1
< 0.1%
484361562 1
< 0.1%
367080244 1
< 0.1%
180219632 1
< 0.1%
175280878 1
< 0.1%
144486913 1
< 0.1%
136723220 1
< 0.1%
92014260 1
< 0.1%

2015년가산적용금액
Real number (ℝ)

MISSING  SKEWED 

Distinct5783
Distinct (%)> 99.9%
Missing3126
Missing (%)35.1%
Infinite0
Infinite (%)0.0%
Mean6.1336538 × 109
Minimum0
Maximum3.4777364 × 1012
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:02.683612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile412086.2
Q118392914
median1.4231613 × 108
Q31.0975654 × 109
95-th percentile1.8180294 × 1010
Maximum3.4777364 × 1012
Range3.4777364 × 1012
Interquartile range (IQR)1.0791725 × 109

Descriptive statistics

Standard deviation6.2161471 × 1010
Coefficient of variation (CV)10.134493
Kurtosis2080.2828
Mean6.1336538 × 109
Median Absolute Deviation (MAD)1.4087774 × 108
Skewness41.352285
Sum3.5483187 × 1013
Variance3.8640484 × 1021
MonotonicityNot monotonic
2023-12-13T05:57:03.084411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10370 2
 
< 0.1%
11076 2
 
< 0.1%
83443039 1
 
< 0.1%
260738 1
 
< 0.1%
26291078 1
 
< 0.1%
14418085 1
 
< 0.1%
19132260 1
 
< 0.1%
9184775 1
 
< 0.1%
336295184 1
 
< 0.1%
237873520 1
 
< 0.1%
Other values (5773) 5773
64.8%
(Missing) 3126
35.1%
ValueCountFrequency (%)
0 1
< 0.1%
300 1
< 0.1%
1823 1
< 0.1%
1947 1
< 0.1%
3968 1
< 0.1%
4246 1
< 0.1%
4510 1
< 0.1%
5610 1
< 0.1%
5742 1
< 0.1%
6758 1
< 0.1%
ValueCountFrequency (%)
3477736406214 1
< 0.1%
2415560491381 1
< 0.1%
678322924080 1
< 0.1%
640524376940 1
< 0.1%
597601412308 1
< 0.1%
465585744773 1
< 0.1%
451383136969 1
< 0.1%
450863541935 1
< 0.1%
428053586000 1
< 0.1%
394405053527 1
< 0.1%

2016년총사용량실시횟수
Real number (ℝ)

MISSING  SKEWED 

Distinct3856
Distinct (%)64.4%
Missing2922
Missing (%)32.8%
Infinite0
Infinite (%)0.0%
Mean1249028.7
Minimum1
Maximum5.4801618 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:03.260809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q1116
median1696
Q333733
95-th percentile1722207.6
Maximum5.4801618 × 108
Range5.4801618 × 108
Interquartile range (IQR)33617

Descriptive statistics

Standard deviation15681404
Coefficient of variation (CV)12.554879
Kurtosis901.3914
Mean1249028.7
Median Absolute Deviation (MAD)1689
Skewness28.30623
Sum7.4804329 × 109
Variance2.4590644 × 1014
MonotonicityNot monotonic
2023-12-13T05:57:03.402668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 103
 
1.2%
3 66
 
0.7%
2 66
 
0.7%
4 53
 
0.6%
6 45
 
0.5%
7 41
 
0.5%
5 36
 
0.4%
13 31
 
0.3%
10 28
 
0.3%
16 27
 
0.3%
Other values (3846) 5493
61.6%
(Missing) 2922
32.8%
ValueCountFrequency (%)
1 103
1.2%
2 66
0.7%
3 66
0.7%
4 53
0.6%
5 36
 
0.4%
6 45
0.5%
7 41
 
0.5%
8 24
 
0.3%
9 26
 
0.3%
10 28
 
0.3%
ValueCountFrequency (%)
548016183 1
< 0.1%
548015168 1
< 0.1%
501459847 1
< 0.1%
501273236 1
< 0.1%
377558994 1
< 0.1%
186898680 1
< 0.1%
178646933 1
< 0.1%
143465244 1
< 0.1%
132531095 1
< 0.1%
90159450 1
< 0.1%

2016년가산적용금액
Real number (ℝ)

MISSING  SKEWED 

Distinct5986
Distinct (%)99.9%
Missing2922
Missing (%)32.8%
Infinite0
Infinite (%)0.0%
Mean6.4763355 × 109
Minimum0
Maximum3.671989 × 1012
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:03.538369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile436004.8
Q118529366
median1.4889868 × 108
Q31.2352015 × 109
95-th percentile1.9858849 × 1010
Maximum3.671989 × 1012
Range3.671989 × 1012
Interquartile range (IQR)1.2166721 × 109

Descriptive statistics

Standard deviation6.4600247 × 1010
Coefficient of variation (CV)9.9748149
Kurtosis2151.5141
Mean6.4763355 × 109
Median Absolute Deviation (MAD)1.4751071 × 108
Skewness42.071096
Sum3.8786773 × 1013
Variance4.1731919 × 1021
MonotonicityNot monotonic
2023-12-13T05:57:03.728832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55616 2
 
< 0.1%
0 2
 
< 0.1%
171265 2
 
< 0.1%
22500665 1
 
< 0.1%
788566885 1
 
< 0.1%
4616019432 1
 
< 0.1%
2022760851 1
 
< 0.1%
745964867 1
 
< 0.1%
8782785743 1
 
< 0.1%
562620427 1
 
< 0.1%
Other values (5976) 5976
67.1%
(Missing) 2922
32.8%
ValueCountFrequency (%)
0 2
< 0.1%
8 1
< 0.1%
1245 1
< 0.1%
1870 1
< 0.1%
2420 1
< 0.1%
4378 1
< 0.1%
5038 1
< 0.1%
6853 1
< 0.1%
6960 1
< 0.1%
6980 1
< 0.1%
ValueCountFrequency (%)
3671989038383 1
< 0.1%
2567043912325 1
< 0.1%
725067618380 1
< 0.1%
645912550420 1
< 0.1%
644226575179 1
< 0.1%
494743495604 1
< 0.1%
482590802900 1
< 0.1%
477988449750 1
< 0.1%
455933107290 1
< 0.1%
414529387360 1
< 0.1%

2017년총사용량실시횟수
Real number (ℝ)

MISSING  SKEWED 

Distinct3982
Distinct (%)63.3%
Missing2622
Missing (%)29.4%
Infinite0
Infinite (%)0.0%
Mean1205981.1
Minimum1
Maximum5.524306 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:03.909563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q1107
median1644
Q332789
95-th percentile1646960.6
Maximum5.524306 × 108
Range5.524306 × 108
Interquartile range (IQR)32682

Descriptive statistics

Standard deviation15347075
Coefficient of variation (CV)12.725801
Kurtosis951.41984
Mean1205981.1
Median Absolute Deviation (MAD)1638
Skewness29.077374
Sum7.5844152 × 109
Variance2.3553272 × 1014
MonotonicityNot monotonic
2023-12-13T05:57:04.077742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 146
 
1.6%
2 95
 
1.1%
7 55
 
0.6%
5 52
 
0.6%
6 46
 
0.5%
3 44
 
0.5%
4 43
 
0.5%
12 40
 
0.4%
13 34
 
0.4%
9 34
 
0.4%
Other values (3972) 5700
64.0%
(Missing) 2622
29.4%
ValueCountFrequency (%)
1 146
1.6%
2 95
1.1%
3 44
 
0.5%
4 43
 
0.5%
5 52
 
0.6%
6 46
 
0.5%
7 55
 
0.6%
8 31
 
0.3%
9 34
 
0.4%
10 25
 
0.3%
ValueCountFrequency (%)
552430599 1
< 0.1%
552427044 1
< 0.1%
505575952 1
< 0.1%
495259896 1
< 0.1%
379617740 1
< 0.1%
189968090 1
< 0.1%
175861794 1
< 0.1%
141015696 1
< 0.1%
126034412 1
< 0.1%
90539318 1
< 0.1%

2017년가산적용금액
Real number (ℝ)

MISSING  SKEWED 

Distinct6277
Distinct (%)99.8%
Missing2622
Missing (%)29.4%
Infinite0
Infinite (%)0.0%
Mean6.5972436 × 109
Minimum600
Maximum3.8037786 × 1012
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:04.233535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum600
5-th percentile405447.8
Q117452317
median1.5609546 × 108
Q31.2768501 × 109
95-th percentile2.1042775 × 1010
Maximum3.8037786 × 1012
Range3.8037786 × 1012
Interquartile range (IQR)1.2593978 × 109

Descriptive statistics

Standard deviation6.5598911 × 1010
Coefficient of variation (CV)9.9433816
Kurtosis2235.6303
Mean6.5972436 × 109
Median Absolute Deviation (MAD)1.5474767 × 108
Skewness42.86269
Sum4.1490065 × 1013
Variance4.3032171 × 1021
MonotonicityNot monotonic
2023-12-13T05:57:04.405719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98186 6
 
0.1%
215017 2
 
< 0.1%
8913 2
 
< 0.1%
131800 2
 
< 0.1%
703543 2
 
< 0.1%
681967 2
 
< 0.1%
25475 2
 
< 0.1%
145886 2
 
< 0.1%
2040804288 1
 
< 0.1%
2492979569 1
 
< 0.1%
Other values (6267) 6267
70.3%
(Missing) 2622
29.4%
ValueCountFrequency (%)
600 1
< 0.1%
644 1
< 0.1%
2320 1
< 0.1%
3619 1
< 0.1%
3713 1
< 0.1%
6006 1
< 0.1%
7225 1
< 0.1%
7280 1
< 0.1%
8913 2
< 0.1%
8987 1
< 0.1%
ValueCountFrequency (%)
3803778565957 1
< 0.1%
2684073989990 1
< 0.1%
749426453720 1
< 0.1%
695102351288 1
< 0.1%
668944473230 1
< 0.1%
525850356749 1
< 0.1%
506898525690 1
< 0.1%
488200903501 1
< 0.1%
474238753430 1
< 0.1%
445297338118 1
< 0.1%

2018년총사용량실시횟수
Real number (ℝ)

MISSING  SKEWED 

Distinct4546
Distinct (%)64.1%
Missing1814
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean1122719.8
Minimum0
Maximum5.6082972 × 108
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:04.563362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q1122
median1920
Q332454
95-th percentile1651128.6
Maximum5.6082972 × 108
Range5.6082972 × 108
Interquartile range (IQR)32332

Descriptive statistics

Standard deviation14824572
Coefficient of variation (CV)13.204161
Kurtosis1016.1531
Mean1122719.8
Median Absolute Deviation (MAD)1914
Skewness29.907251
Sum7.9679422 × 109
Variance2.1976795 × 1014
MonotonicityNot monotonic
2023-12-13T05:57:04.705426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 155
 
1.7%
2 85
 
1.0%
3 69
 
0.8%
6 58
 
0.7%
4 51
 
0.6%
5 46
 
0.5%
10 37
 
0.4%
11 35
 
0.4%
13 35
 
0.4%
7 35
 
0.4%
Other values (4536) 6491
72.8%
(Missing) 1814
 
20.4%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 155
1.7%
2 85
1.0%
3 69
0.8%
4 51
 
0.6%
5 46
 
0.5%
6 58
 
0.7%
7 35
 
0.4%
8 34
 
0.4%
9 34
 
0.4%
ValueCountFrequency (%)
560829719 1
< 0.1%
560829153 1
< 0.1%
513295263 1
< 0.1%
490845300 1
< 0.1%
383005852 1
< 0.1%
199945519 1
< 0.1%
194259811 1
< 0.1%
172546975 1
< 0.1%
145337005 1
< 0.1%
126594184 1
< 0.1%

2018년가산적용금액
Real number (ℝ)

MISSING  SKEWED 

Distinct7084
Distinct (%)99.8%
Missing1814
Missing (%)20.4%
Infinite0
Infinite (%)0.0%
Mean6.5790459 × 109
Minimum0
Maximum3.9524685 × 1012
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:04.847400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile339575.4
Q116741302
median1.6021243 × 108
Q31.3351111 × 109
95-th percentile2.1163058 × 1010
Maximum3.9524685 × 1012
Range3.9524685 × 1012
Interquartile range (IQR)1.3183698 × 109

Descriptive statistics

Standard deviation6.4808397 × 1010
Coefficient of variation (CV)9.8507288
Kurtosis2446.94
Mean6.5790459 × 109
Median Absolute Deviation (MAD)1.5895991 × 108
Skewness44.639701
Sum4.6691488 × 1013
Variance4.2001283 × 1021
MonotonicityNot monotonic
2023-12-13T05:57:04.984793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
< 0.1%
48950 3
 
< 0.1%
24475 2
 
< 0.1%
6578 2
 
< 0.1%
693862 2
 
< 0.1%
56485 2
 
< 0.1%
22793771 2
 
< 0.1%
4312984 2
 
< 0.1%
1615580 2
 
< 0.1%
51964 2
 
< 0.1%
Other values (7074) 7074
79.4%
(Missing) 1814
 
20.4%
ValueCountFrequency (%)
0 4
< 0.1%
851 1
 
< 0.1%
1294 1
 
< 0.1%
1936 1
 
< 0.1%
2634 1
 
< 0.1%
3562 1
 
< 0.1%
3650 1
 
< 0.1%
3874 1
 
< 0.1%
4136 1
 
< 0.1%
4697 1
 
< 0.1%
ValueCountFrequency (%)
3952468526706 1
< 0.1%
2819713999412 1
< 0.1%
771555592940 1
< 0.1%
757212231630 1
< 0.1%
672358411930 1
< 0.1%
553269869336 1
< 0.1%
534755690870 1
< 0.1%
514339711969 1
< 0.1%
492514026500 1
< 0.1%
463515299919 1
< 0.1%

2019년총사용량실시횟수
Real number (ℝ)

MISSING  SKEWED 

Distinct4281
Distinct (%)59.5%
Missing1712
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean1137556.6
Minimum1
Maximum5.6597085 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:05.123848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q160
median1216
Q328534
95-th percentile1482350.7
Maximum5.6597085 × 108
Range5.6597085 × 108
Interquartile range (IQR)28474

Descriptive statistics

Standard deviation14992966
Coefficient of variation (CV)13.179973
Kurtosis996.87709
Mean1137556.6
Median Absolute Deviation (MAD)1213
Skewness29.564038
Sum8.1892703 × 109
Variance2.2478904 × 1014
MonotonicityNot monotonic
2023-12-13T05:57:05.252946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 215
 
2.4%
2 140
 
1.6%
3 112
 
1.3%
4 81
 
0.9%
5 68
 
0.8%
6 60
 
0.7%
7 56
 
0.6%
8 51
 
0.6%
9 44
 
0.5%
10 42
 
0.5%
Other values (4271) 6330
71.0%
(Missing) 1712
 
19.2%
ValueCountFrequency (%)
1 215
2.4%
2 140
1.6%
3 112
1.3%
4 81
 
0.9%
5 68
 
0.8%
6 60
 
0.7%
7 56
 
0.6%
8 51
 
0.6%
9 44
 
0.5%
10 42
 
0.5%
ValueCountFrequency (%)
565970853 1
< 0.1%
565970769 1
< 0.1%
516386575 1
< 0.1%
493882136 1
< 0.1%
391936597 1
< 0.1%
240258912 1
< 0.1%
196886858 1
< 0.1%
165888844 1
< 0.1%
152676523 1
< 0.1%
144332353 1
< 0.1%

2019년가산적용금액
Real number (ℝ)

MISSING  SKEWED 

Distinct7174
Distinct (%)99.7%
Missing1712
Missing (%)19.2%
Infinite0
Infinite (%)0.0%
Mean7.1131486 × 109
Minimum0
Maximum4.1279925 × 1012
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:05.387040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile111175.2
Q19861483
median1.3973752 × 108
Q31.3165576 × 109
95-th percentile2.3683101 × 1010
Maximum4.1279925 × 1012
Range4.1279925 × 1012
Interquartile range (IQR)1.3066962 × 109

Descriptive statistics

Standard deviation6.747071 × 1010
Coefficient of variation (CV)9.4853508
Kurtosis2423.0061
Mean7.1131486 × 109
Median Absolute Deviation (MAD)1.3938393 × 108
Skewness44.140179
Sum5.1207557 × 1013
Variance4.5522967 × 1021
MonotonicityNot monotonic
2023-12-13T05:57:05.502513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
0.1%
42394 4
 
< 0.1%
480229 4
 
< 0.1%
12545 3
 
< 0.1%
2162913 2
 
< 0.1%
32681 2
 
< 0.1%
301633 2
 
< 0.1%
10648 2
 
< 0.1%
5148 2
 
< 0.1%
78975000 2
 
< 0.1%
Other values (7164) 7168
80.4%
(Missing) 1712
 
19.2%
ValueCountFrequency (%)
0 8
0.1%
660 1
 
< 0.1%
1131 1
 
< 0.1%
1550 1
 
< 0.1%
1613 1
 
< 0.1%
1680 1
 
< 0.1%
1888 1
 
< 0.1%
1914 1
 
< 0.1%
2002 1
 
< 0.1%
2046 1
 
< 0.1%
ValueCountFrequency (%)
4127992534470 1
< 0.1%
2914782378168 1
< 0.1%
816968220381 1
< 0.1%
796164503730 1
< 0.1%
714796761370 1
< 0.1%
587452326234 1
< 0.1%
567624506958 1
< 0.1%
534657045666 1
< 0.1%
510338534810 1
< 0.1%
499535346153 1
< 0.1%

2020년총사용량실시횟수
Real number (ℝ)

MISSING  SKEWED 

Distinct4310
Distinct (%)59.7%
Missing1692
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean1024203.9
Minimum0
Maximum4.7843334 × 108
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:05.625681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q162
median1243
Q328937
95-th percentile1535868.1
Maximum4.7843334 × 108
Range4.7843334 × 108
Interquartile range (IQR)28875

Descriptive statistics

Standard deviation12847961
Coefficient of variation (CV)12.544338
Kurtosis957.89836
Mean1024203.9
Median Absolute Deviation (MAD)1240
Skewness28.880312
Sum7.3937283 × 109
Variance1.6507009 × 1014
MonotonicityNot monotonic
2023-12-13T05:57:05.753716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 257
 
2.9%
2 140
 
1.6%
3 115
 
1.3%
4 82
 
0.9%
5 61
 
0.7%
6 60
 
0.7%
8 49
 
0.5%
7 49
 
0.5%
9 47
 
0.5%
10 45
 
0.5%
Other values (4300) 6314
70.9%
(Missing) 1692
 
19.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 257
2.9%
2 140
1.6%
3 115
1.3%
4 82
 
0.9%
5 61
 
0.7%
6 60
 
0.7%
7 49
 
0.5%
8 49
 
0.5%
9 47
 
0.5%
ValueCountFrequency (%)
478433343 1
< 0.1%
478430041 1
< 0.1%
439083900 1
< 0.1%
417031989 1
< 0.1%
342591187 1
< 0.1%
227348697 1
< 0.1%
162566093 1
< 0.1%
146969960 1
< 0.1%
125981490 1
< 0.1%
111298221 1
< 0.1%

2020년가산적용금액
Real number (ℝ)

MISSING  SKEWED 

Distinct7184
Distinct (%)99.5%
Missing1692
Missing (%)19.0%
Infinite0
Infinite (%)0.0%
Mean6.9868283 × 109
Minimum0
Maximum3.7095481 × 1012
Zeros15
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:05.873871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile89856.3
Q111073356
median1.564772 × 108
Q31.4391337 × 109
95-th percentile2.4401752 × 1010
Maximum3.7095481 × 1012
Range3.7095481 × 1012
Interquartile range (IQR)1.4280603 × 109

Descriptive statistics

Standard deviation6.0863245 × 1010
Coefficient of variation (CV)8.7111407
Kurtosis2284.0571
Mean6.9868283 × 109
Median Absolute Deviation (MAD)1.5619939 × 108
Skewness42.068867
Sum5.0437914 × 1013
Variance3.7043346 × 1021
MonotonicityNot monotonic
2023-12-13T05:57:05.996123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15
 
0.2%
26455 4
 
< 0.1%
32703 3
 
< 0.1%
10802 3
 
< 0.1%
49236 2
 
< 0.1%
20930 2
 
< 0.1%
316135 2
 
< 0.1%
158122448 2
 
< 0.1%
42770 2
 
< 0.1%
204683 2
 
< 0.1%
Other values (7174) 7182
80.6%
(Missing) 1692
 
19.0%
ValueCountFrequency (%)
0 15
0.2%
702 1
 
< 0.1%
860 1
 
< 0.1%
950 1
 
< 0.1%
1474 1
 
< 0.1%
1488 1
 
< 0.1%
1639 1
 
< 0.1%
2128 1
 
< 0.1%
2600 1
 
< 0.1%
3071 1
 
< 0.1%
ValueCountFrequency (%)
3709548090475 1
< 0.1%
2471189745496 1
< 0.1%
877420528142 1
< 0.1%
680546269320 1
< 0.1%
661642554970 1
< 0.1%
582052414284 1
< 0.1%
543272703256 1
< 0.1%
491512364043 1
< 0.1%
458475685533 1
< 0.1%
457142244460 1
< 0.1%

2021년총사용량실시횟수
Real number (ℝ)

MISSING  SKEWED 

Distinct4299
Distinct (%)60.7%
Missing1829
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean1058161.6
Minimum1
Maximum4.63093 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:06.119239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q173
median1363.5
Q332517.5
95-th percentile1710130.6
Maximum4.63093 × 108
Range4.63093 × 108
Interquartile range (IQR)32444.5

Descriptive statistics

Standard deviation12682714
Coefficient of variation (CV)11.985611
Kurtosis905.5006
Mean1058161.6
Median Absolute Deviation (MAD)1360.5
Skewness28.016856
Sum7.4939006 × 109
Variance1.6085123 × 1014
MonotonicityNot monotonic
2023-12-13T05:57:06.231046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 257
 
2.9%
2 158
 
1.8%
3 98
 
1.1%
4 70
 
0.8%
6 58
 
0.7%
5 49
 
0.5%
8 44
 
0.5%
10 41
 
0.5%
15 38
 
0.4%
11 36
 
0.4%
Other values (4289) 6233
69.9%
(Missing) 1829
 
20.5%
ValueCountFrequency (%)
1 257
2.9%
2 158
1.8%
3 98
 
1.1%
4 70
 
0.8%
5 49
 
0.5%
6 58
 
0.7%
7 35
 
0.4%
8 44
 
0.5%
9 27
 
0.3%
10 41
 
0.5%
ValueCountFrequency (%)
463093005 1
< 0.1%
463091548 1
< 0.1%
423114907 1
< 0.1%
400961009 1
< 0.1%
335371176 1
< 0.1%
243296162 1
< 0.1%
160359997 1
< 0.1%
159971573 1
< 0.1%
117245661 1
< 0.1%
95045746 1
< 0.1%

2021년가산적용금액
Real number (ℝ)

MISSING  SKEWED 

Distinct7055
Distinct (%)99.6%
Missing1829
Missing (%)20.5%
Infinite0
Infinite (%)0.0%
Mean7.711902 × 109
Minimum0
Maximum3.6961725 × 1012
Zeros23
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:06.366198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile99246.5
Q113466039
median1.8236531 × 108
Q31.6564882 × 109
95-th percentile2.7546737 × 1010
Maximum3.6961725 × 1012
Range3.6961725 × 1012
Interquartile range (IQR)1.6430221 × 109

Descriptive statistics

Standard deviation6.2772303 × 1010
Coefficient of variation (CV)8.1396656
Kurtosis2036.4642
Mean7.711902 × 109
Median Absolute Deviation (MAD)1.8190957 × 108
Skewness39.131001
Sum5.461569 × 1013
Variance3.9403621 × 1021
MonotonicityNot monotonic
2023-12-13T05:57:06.494817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 23
 
0.3%
37606 2
 
< 0.1%
15158 2
 
< 0.1%
22989 2
 
< 0.1%
101085 2
 
< 0.1%
53757 2
 
< 0.1%
2411414690 1
 
< 0.1%
437822358 1
 
< 0.1%
85807441 1
 
< 0.1%
246517074 1
 
< 0.1%
Other values (7045) 7045
79.1%
(Missing) 1829
 
20.5%
ValueCountFrequency (%)
0 23
0.3%
660 1
 
< 0.1%
738 1
 
< 0.1%
978 1
 
< 0.1%
1152 1
 
< 0.1%
1430 1
 
< 0.1%
1456 1
 
< 0.1%
1604 1
 
< 0.1%
1760 1
 
< 0.1%
1852 1
 
< 0.1%
ValueCountFrequency (%)
3696172493308 1
< 0.1%
2474579002147 1
< 0.1%
933024981485 1
< 0.1%
677355722170 1
< 0.1%
675533355285 1
< 0.1%
612991809216 1
< 0.1%
554837735045 1
< 0.1%
525765859764 1
< 0.1%
506244070509 1
< 0.1%
486270340433 1
< 0.1%

2022년총사용량실시횟수
Real number (ℝ)

MISSING  SKEWED 

Distinct4363
Distinct (%)61.4%
Missing1808
Missing (%)20.3%
Infinite0
Infinite (%)0.0%
Mean1140600.3
Minimum1
Maximum5.3561406 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:06.608622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q180
median1506
Q333354.5
95-th percentile1819503.1
Maximum5.3561406 × 108
Range5.3561406 × 108
Interquartile range (IQR)33274.5

Descriptive statistics

Standard deviation14385445
Coefficient of variation (CV)12.612171
Kurtosis968.58563
Mean1140600.3
Median Absolute Deviation (MAD)1503
Skewness29.147956
Sum8.1016837 × 109
Variance2.0694104 × 1014
MonotonicityNot monotonic
2023-12-13T05:57:06.985692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 242
 
2.7%
2 134
 
1.5%
3 94
 
1.1%
4 70
 
0.8%
5 59
 
0.7%
7 54
 
0.6%
6 43
 
0.5%
11 42
 
0.5%
9 41
 
0.5%
8 40
 
0.4%
Other values (4353) 6284
70.5%
(Missing) 1808
 
20.3%
ValueCountFrequency (%)
1 242
2.7%
2 134
1.5%
3 94
 
1.1%
4 70
 
0.8%
5 59
 
0.7%
6 43
 
0.5%
7 54
 
0.6%
8 40
 
0.4%
9 41
 
0.5%
10 34
 
0.4%
ValueCountFrequency (%)
535614058 1
< 0.1%
535610708 1
< 0.1%
490331300 1
< 0.1%
467952168 1
< 0.1%
378212839 1
< 0.1%
250124608 1
< 0.1%
202351909 1
< 0.1%
168100878 1
< 0.1%
123371610 1
< 0.1%
117163514 1
< 0.1%

2022년가산적용금액
Real number (ℝ)

MISSING  SKEWED 

Distinct7053
Distinct (%)99.3%
Missing1808
Missing (%)20.3%
Infinite0
Infinite (%)0.0%
Mean8.5106816 × 109
Minimum0
Maximum4.3005398 × 1012
Zeros42
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size78.4 KiB
2023-12-13T05:57:07.116051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile113221.6
Q115261582
median1.9525689 × 108
Q31.7260514 × 109
95-th percentile2.9182818 × 1010
Maximum4.3005398 × 1012
Range4.3005398 × 1012
Interquartile range (IQR)1.7107898 × 109

Descriptive statistics

Standard deviation7.4343418 × 1010
Coefficient of variation (CV)8.7353072
Kurtosis2079.2418
Mean8.5106816 × 109
Median Absolute Deviation (MAD)1.9473364 × 108
Skewness40.304619
Sum6.0451371 × 1013
Variance5.5269437 × 1021
MonotonicityNot monotonic
2023-12-13T05:57:07.220442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42
 
0.5%
138960 2
 
< 0.1%
76912 2
 
< 0.1%
16500 2
 
< 0.1%
12903 2
 
< 0.1%
273056 2
 
< 0.1%
354925 2
 
< 0.1%
115380 2
 
< 0.1%
368771 2
 
< 0.1%
6314 2
 
< 0.1%
Other values (7043) 7043
79.0%
(Missing) 1808
 
20.3%
ValueCountFrequency (%)
0 42
0.5%
517 1
 
< 0.1%
1166 1
 
< 0.1%
1254 1
 
< 0.1%
1464 1
 
< 0.1%
1488 1
 
< 0.1%
1633 1
 
< 0.1%
1815 1
 
< 0.1%
1826 1
 
< 0.1%
1998 1
 
< 0.1%
ValueCountFrequency (%)
4300539811149 1
< 0.1%
3239369903432 1
< 0.1%
984368254541 1
< 0.1%
816960653750 1
< 0.1%
745896975303 1
< 0.1%
723962855583 1
< 0.1%
675063630872 1
< 0.1%
626823096630 1
< 0.1%
572500477940 1
< 0.1%
542340794268 1
< 0.1%

Sample

수가코드분류번호한글명의치한약구분관리진료과장절분류신설코드삭제코드2014년총사용량실시횟수2014년가산적용금액2015년총사용량실시횟수2015년가산적용금액2016년총사용량실시횟수2016년가산적용금액2017년총사용량실시횟수2017년가산적용금액2018년총사용량실시횟수2018년가산적용금액2019년총사용량실시횟수2019년가산적용금액2020년총사용량실시횟수2020년가산적용금액2021년총사용량실시횟수2021년가산적용금액2022년총사용량실시횟수2022년가산적용금액
010100가1가(9)초진진찰료-한의원,국립병원내의한방진료부,상급종합병원·종합병원·병원·정신병원·요양병원·치과병원·보건의료원내한의과한방기본진료_진찰제1장기본진료료<NA><NA>197251082116486648701889624320867749829018227912206199563470176976842064303867701749310121004925637017684733218366901160155619851985556354901522655719930822215115011637203380048510
110101가1가(10)초진진찰료-한방병원한방기본진료_진찰제1장기본진료료신설_15년도<NA><NA><NA>15049818834519006824938690992430693140907928851063541485536158305961668277123470573780824028565061611891445454206453349903775790
210102가1가(11)초진진찰료-상급종합병원에설치된경우를제외한한의과대학부속한방병원한방기본진료_진찰제1장기본진료료신설_18년도<NA><NA><NA><NA><NA><NA><NA><NA><NA>431976181055601053681541103290887031329790280859491323038120802961271638470
310103가1가(12)초진진찰료-상급종합병원에설치된한의과대학부속한방병원한방기본진료_진찰제1장기본진료료신설_18년도<NA><NA><NA><NA><NA><NA><NA><NA><NA>704910512860016637254219340230333622208802175835111934022476373298850
410200가1나(9)재진진찰료-한의원,국립병원내의한방진료부,상급종합병원·종합병원·병원·정신병원·요양병원·치과병원·보건의료원내한의과한방기본진료_진찰제1장기본진료료<NA><NA>957629886452642946109201426064052437694090159450645912550420905393186689444732308844022867235841193091412364714796761370819372696616425549708132823667553335528578628416675063630872
510201가1나(10)재진진찰료-한방병원한방기본진료_진찰제1장기본진료료신설_15년도<NA><NA><NA>5342994321432370231086919050381180230230919549377040204610217886583830170560615426004700157324614696784230180057117345754990181968618110620760
610202가1나(11)재진진찰료-상급종합병원에설치된경우를제외한한의과대학부속한방병원한방기본진료_진찰제1장기본진료료신설_18년도<NA><NA><NA><NA><NA><NA><NA><NA><NA>21966920723653305076374911496950445599444000829048028649233867104406634654227840
710203가1나(12)재진진찰료-상급종합병원에설치된한의과대학부속한방병원한방기본진료_진찰제1장기본진료료신설_18년도<NA><NA><NA><NA><NA><NA><NA><NA><NA>550905638711601320111385007660108682117204298010149811267044401052781201168400
810221가1나주7재진료50%(가족내원)한방기본진료_진찰제1장기본진료료<NA>삭제_15년도7039250184705638204658307526872027969903813539037133710829200<NA><NA>310370
911011가25가(1)감염예방·관리료-상급종합병원,종합병원1등급한방기본진료_기타제1장기본진료료신설_16년도<NA><NA><NA><NA><NA>4451059100205149555803352821380036579851200171147830301500425155010032890030
수가코드분류번호한글명의치한약구분관리진료과장절분류신설코드삭제코드2014년총사용량실시횟수2014년가산적용금액2015년총사용량실시횟수2015년가산적용금액2016년총사용량실시횟수2016년가산적용금액2017년총사용량실시횟수2017년가산적용금액2018년총사용량실시횟수2018년가산적용금액2019년총사용량실시횟수2019년가산적용금액2020년총사용량실시횟수2020년가산적용금액2021년총사용량실시횟수2021년가산적용금액2022년총사용량실시횟수2022년가산적용금액
8901Z4331약4가(1)(머)처방조제-내복약31일분이상40일분약국조제료제15장약국약제비<NA><NA>233907317552435500241676718787718410259173620754522660284354023562736540281711724081247750292884125796952085264380924119174790268264025295795830267749026177366910
8902Z4341약4가(1)(버)처방조제-내복약41일분이상50일분약국조제료제15장약국약제비<NA><NA>162571513280767550167938614157306440178942815572034720193209217372934880202209418703629840208985619881071060198808719566243620209881121279793280213522622439638660
8903Z4351약4가(1)(서)처방조제-내복약51일분이상60일분약국조제료제15장약국약제비<NA><NA>183572481799972838301968899619996279492021606232225958004300235892472548841762502577109628612443946328277553322604277008313755073706794003103463154042097734266136949620464782298080
8904Z4361약4가(1)(어)처방조제-내복약61일분이상70일분약국조제료제15장약국약제비<NA><NA>162076116461940490164461717227849490181427019572862450194644921718197700200367823111207240209387224966028430197704324501220340199541625520786290200509626544739720
8905Z4371약4가(1)(저)처방조제-내복약71일분이상80일분약국조제료제15장약국약제비<NA><NA>255973266030727026407628259104802926843226493320320289366064856034845641261632903567464371865750323586412225214034043444752988203668644994254690
8906Z4381약4가(1)(처)처방조제-내복약81일분이상90일분약국조제료제15장약국약제비<NA><NA>602764764203378100656072072223430150745954384490217660831819697514740170934009611347974467710659403133888010190122032771595618844201411973219005155825315880009221011306010
8907Z4391약4가(1)(커)처방조제-내복약91일분이상약국조제료제15장약국약제비<NA><NA>49179705466821494053983826192598539061492197263545171070613218646264556080584331025207791309066156119799219466100543841385945035701121433915966944810012297425181154855560
8908Z5000약5의약품관리료(방문당)약국의약품관리료제15장약국약제비신설_11년도<NA>487739408248348205620484546391255938728990501459847274916888620495259896274895104430490845300274423846530493882136276573610780417031989233537662120400961009231939973160467952168280081175730
8909Z5001약5주의약품관리료(방문당)-마약류포함하여조제투약하는경우약국의약품관리료제15장약국약제비신설_17년도<NA><NA><NA><NA><NA><NA><NA>10513635588726301022673980131133025002278206517190376340222994491778257783022400996183329879202241396618997281890
8910Z7001약7야간조제관리료약국미지정제15장약국약제비신설_17년도<NA><NA><NA><NA><NA><NA><NA>4235769233826005692111271299320579042133385425028201966496951045552011220448008294782119409730