Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory947.3 KiB
Average record size in memory97.0 B

Variable types

Text7
Categorical3
Numeric1

Dataset

Description전체 요양기관의 장비보유 상세 현황(요양기관명, 소재지, 종별, 장비대분류, 장비소분류, 장비허가번호 등) / 연 1회 업데이트 ※ 과거 자료는 아래 경로에서 다운로드 가능(2015말 기준~) https://opendata.hira.or.kr/op/opc/selectOpenData.do?sno=11924&publDataTpCd=&searchCnd=&searchWrd=%EC%9E%A5%EB%B9%84&pageIndex=1
Author건강보험심사평가원
URLhttps://www.data.go.kr/data/15051055/fileData.do

Alerts

시도명 has constant value ""Constant
Dataset has 2 (< 0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-13 00:19:32.751855
Analysis finished2023-12-13 00:19:33.957179
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

요양기관명
Text

Distinct3822
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:19:34.082132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length23
Mean length8.5454
Min length3

Characters and Unicode

Total characters85454
Distinct characters599
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2029 ?
Unique (%)20.3%

Sample

1st row박병우한의원
2nd row유라치과의원
3rd row서울수치과의원
4th row강서송도병원
5th row오은정한의원
ValueCountFrequency (%)
삼성서울병원 127
 
1.1%
가톨릭대학교 122
 
1.1%
서울아산병원 119
 
1.1%
재단법인아산사회복지재단 119
 
1.1%
의료법인 91
 
0.8%
학교법인가톨릭학원가톨릭대학교서울성모병원 89
 
0.8%
서울대학교병원 86
 
0.8%
서울병원 83
 
0.7%
연세대학교의과대학세브란스병원 79
 
0.7%
서울특별시보라매병원 73
 
0.6%
Other values (3893) 10260
91.2%
2023-12-13T09:19:34.361150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 10488
 
12.3%
의 7517
 
8.8%
과 5508
 
6.4%
병 3998
 
4.7%
치 3098
 
3.6%
학 2245
 
2.6%
대 1874
 
2.2%
서 1848
 
2.2%
울 1691
 
2.0%
교 1461
 
1.7%
Other values (589) 45726
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83588
97.8%
Space Separator 1258
 
1.5%
Close Punctuation 165
 
0.2%
Open Punctuation 165
 
0.2%
Uppercase Letter 110
 
0.1%
Decimal Number 93
 
0.1%
Lowercase Letter 42
 
< 0.1%
Other Punctuation 18
 
< 0.1%
Dash Punctuation 14
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 10488
 
12.5%
의 7517
 
9.0%
과 5508
 
6.6%
병 3998
 
4.8%
치 3098
 
3.7%
학 2245
 
2.7%
대 1874
 
2.2%
서 1848
 
2.2%
울 1691
 
2.0%
교 1461
 
1.7%
Other values (543) 43860
52.5%
Uppercase Letter
ValueCountFrequency (%)
S 18
16.4%
K 11
 
10.0%
B 8
 
7.3%
C 8
 
7.3%
M 7
 
6.4%
O 7
 
6.4%
L 7
 
6.4%
N 6
 
5.5%
W 5
 
4.5%
I 5
 
4.5%
Other values (12) 28
25.5%
Decimal Number
ValueCountFrequency (%)
2 14
15.1%
1 14
15.1%
5 14
15.1%
3 13
14.0%
6 11
11.8%
8 11
11.8%
9 8
8.6%
0 4
 
4.3%
4 4
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
e 22
52.4%
a 7
 
16.7%
h 3
 
7.1%
g 3
 
7.1%
n 3
 
7.1%
w 2
 
4.8%
p 2
 
4.8%
Other Punctuation
ValueCountFrequency (%)
& 12
66.7%
. 5
27.8%
＆ 1
 
5.6%
Space Separator
ValueCountFrequency (%)
1258
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83587
97.8%
Common 1713
 
2.0%
Latin 152
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 10488
 
12.5%
의 7517
 
9.0%
과 5508
 
6.6%
병 3998
 
4.8%
치 3098
 
3.7%
학 2245
 
2.7%
대 1874
 
2.2%
서 1848
 
2.2%
울 1691
 
2.0%
교 1461
 
1.7%
Other values (543) 43859
52.5%
Latin
ValueCountFrequency (%)
e 22
14.5%
S 18
 
11.8%
K 11
 
7.2%
B 8
 
5.3%
C 8
 
5.3%
M 7
 
4.6%
a 7
 
4.6%
O 7
 
4.6%
L 7
 
4.6%
N 6
 
3.9%
Other values (19) 51
33.6%
Common
ValueCountFrequency (%)
1258
73.4%
) 165
 
9.6%
( 165
 
9.6%
2 14
 
0.8%
1 14
 
0.8%
- 14
 
0.8%
5 14
 
0.8%
3 13
 
0.8%
& 12
 
0.7%
6 11
 
0.6%
Other values (6) 33
 
1.9%
Han
ValueCountFrequency (%)
林 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83586
97.8%
ASCII 1864
 
2.2%
CJK 2
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 10488
 
12.5%
의 7517
 
9.0%
과 5508
 
6.6%
병 3998
 
4.8%
치 3098
 
3.7%
학 2245
 
2.7%
대 1874
 
2.2%
서 1848
 
2.2%
울 1691
 
2.0%
교 1461
 
1.7%
Other values (542) 43858
52.5%
ASCII
ValueCountFrequency (%)
1258
67.5%
) 165
 
8.9%
( 165
 
8.9%
e 22
 
1.2%
S 18
 
1.0%
2 14
 
0.8%
1 14
 
0.8%
- 14
 
0.8%
5 14
 
0.8%
3 13
 
0.7%
Other values (34) 167
 
9.0%
CJK
ValueCountFrequency (%)
林 2
100.0%
None
ValueCountFrequency (%)
＆ 1
50.0%
㈜ 1
50.0%

요양종별
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
치과의원
2897 
의원
2495 
병원
1242 
종합병원
1162 
상급종합병원
1031 
Other values (7)
1173 

Length

Max length6
Median length4
Mean length3.3982
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한의원
2nd row치과의원
3rd row치과의원
4th row병원
5th row한의원

Common Values

ValueCountFrequency (%)
치과의원 2897
29.0%
의원 2495
24.9%
병원 1242
12.4%
종합병원 1162
11.6%
상급종합병원 1031
 
10.3%
한의원 551
 
5.5%
요양병원 274
 
2.7%
한방병원 196
 
2.0%
치과병원 78
 
0.8%
보건소 55
 
0.5%
Other values (2) 19
 
0.2%

Length

2023-12-13T09:19:34.474136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
치과의원 2897
29.0%
의원 2495
24.9%
병원 1242
12.4%
종합병원 1162
11.6%
상급종합병원 1031
 
10.3%
한의원 551
 
5.5%
요양병원 274
 
2.7%
한방병원 196
 
2.0%
치과병원 78
 
0.8%
보건소 55
 
0.5%
Other values (2) 19
 
0.2%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
서울특별시
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 10000
100.0%

Length

2023-12-13T09:19:34.579929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:19:34.658069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 10000
100.0%

시군구명
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
강남구
1001 
송파구
 
623
강동구
 
568
영등포구
 
553
서초구
 
489
Other values (20)
6766 

Length

Max length4
Median length3
Mean length3.0966
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종로구
2nd row동작구
3rd row강동구
4th row강서구
5th row동작구

Common Values

ValueCountFrequency (%)
강남구 1001
 
10.0%
송파구 623
 
6.2%
강동구 568
 
5.7%
영등포구 553
 
5.5%
서초구 489
 
4.9%
강서구 471
 
4.7%
노원구 462
 
4.6%
은평구 424
 
4.2%
동대문구 421
 
4.2%
동작구 412
 
4.1%
Other values (15) 4576
45.8%

Length

2023-12-13T09:19:34.748241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강남구 1001
 
10.0%
송파구 623
 
6.2%
강동구 568
 
5.7%
영등포구 553
 
5.5%
서초구 489
 
4.9%
강서구 471
 
4.7%
노원구 462
 
4.6%
은평구 424
 
4.2%
동대문구 421
 
4.2%
동작구 412
 
4.1%
Other values (15) 4576
45.8%

장비대분류명
Text

Distinct177
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:19:34.948073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length7.5943
Min length3

Characters and Unicode

Total characters75943
Distinct characters269
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row저주파자극기
2nd row디지털영상처리장치
3rd row치과용교합분석기
4th row임상화학·면역검사기(단독 혹은 병용)
5th row양도락기
ValueCountFrequency (%)
광중합기 655
 
5.5%
치과용방사선촬영장치 625
 
5.2%
저주파자극기 577
 
4.8%
초음파영상진단기 523
 
4.4%
치과근관장측정기 451
 
3.8%
적외선조사기 389
 
3.3%
디지털영상처리장치 377
 
3.2%
콘 375
 
3.1%
빔(cone 375
 
3.1%
beam 375
 
3.1%
Other values (198) 7244
60.5%
2023-12-13T09:19:35.259399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 7533
 
9.9%
치 4080
 
5.4%
장 2640
 
3.5%
사 2448
 
3.2%
영 2197
 
2.9%
1966
 
2.6%
파 1791
 
2.4%
선 1615
 
2.1%
과 1310
 
1.7%
상 1261
 
1.7%
Other values (259) 49102
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67790
89.3%
Lowercase Letter 2857
 
3.8%
Space Separator 1966
 
2.6%
Uppercase Letter 1433
 
1.9%
Open Punctuation 627
 
0.8%
Close Punctuation 627
 
0.8%
Other Punctuation 575
 
0.8%
Dash Punctuation 68
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 7533
 
11.1%
치 4080
 
6.0%
장 2640
 
3.9%
사 2448
 
3.6%
영 2197
 
3.2%
파 1791
 
2.6%
선 1615
 
2.4%
과 1310
 
1.9%
상 1261
 
1.9%
검 1226
 
1.8%
Other values (235) 41689
61.5%
Lowercase Letter
ValueCountFrequency (%)
e 750
26.3%
m 443
15.5%
a 375
13.1%
b 375
13.1%
n 375
13.1%
o 375
13.1%
r 68
 
2.4%
l 64
 
2.2%
u 32
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 853
59.5%
T 375
26.2%
A 100
 
7.0%
P 35
 
2.4%
F 32
 
2.2%
S 32
 
2.2%
E 6
 
0.4%
Other Punctuation
ValueCountFrequency (%)
· 529
92.0%
. 35
 
6.1%
/ 6
 
1.0%
, 5
 
0.9%
Space Separator
ValueCountFrequency (%)
1966
100.0%
Open Punctuation
ValueCountFrequency (%)
( 627
100.0%
Close Punctuation
ValueCountFrequency (%)
) 627
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67790
89.3%
Latin 4290
 
5.6%
Common 3863
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 7533
 
11.1%
치 4080
 
6.0%
장 2640
 
3.9%
사 2448
 
3.6%
영 2197
 
3.2%
파 1791
 
2.6%
선 1615
 
2.4%
과 1310
 
1.9%
상 1261
 
1.9%
검 1226
 
1.8%
Other values (235) 41689
61.5%
Latin
ValueCountFrequency (%)
C 853
19.9%
e 750
17.5%
m 443
10.3%
T 375
8.7%
a 375
8.7%
b 375
8.7%
n 375
8.7%
o 375
8.7%
A 100
 
2.3%
r 68
 
1.6%
Other values (6) 201
 
4.7%
Common
ValueCountFrequency (%)
1966
50.9%
( 627
 
16.2%
) 627
 
16.2%
· 529
 
13.7%
- 68
 
1.8%
. 35
 
0.9%
/ 6
 
0.2%
, 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67790
89.3%
ASCII 7624
 
10.0%
None 529
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 7533
 
11.1%
치 4080
 
6.0%
장 2640
 
3.9%
사 2448
 
3.6%
영 2197
 
3.2%
파 1791
 
2.6%
선 1615
 
2.4%
과 1310
 
1.9%
상 1261
 
1.9%
검 1226
 
1.8%
Other values (235) 41689
61.5%
ASCII
ValueCountFrequency (%)
1966
25.8%
C 853
11.2%
e 750
 
9.8%
( 627
 
8.2%
) 627
 
8.2%
m 443
 
5.8%
T 375
 
4.9%
a 375
 
4.9%
b 375
 
4.9%
n 375
 
4.9%
Other values (13) 858
11.3%
None
ValueCountFrequency (%)
· 529
100.0%

장비대분류코드
Text

Distinct178
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:19:35.547300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters40000
Distinct characters16
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

Unique10 ?
Unique (%)0.1%

Sample

1st rowC108
2nd rowB305
3rd rowE103
4th rowA113
5th rowF101
ValueCountFrequency (%)
e201 655
 
6.6%
b103 625
 
6.2%
c108 577
 
5.8%
b302 523
 
5.2%
e102 451
 
4.5%
b305 377
 
3.8%
b109 375
 
3.8%
a205 281
 
2.8%
c101 248
 
2.5%
a206 243
 
2.4%
Other values (168) 5645
56.5%
2023-12-13T09:19:35.936183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8610
21.5%
1 7466
18.7%
2 6205
15.5%
3 3158
 
7.9%
B 2833
 
7.1%
A 2744
 
6.9%
C 1826
 
4.6%
4 1325
 
3.3%
E 1288
 
3.2%
5 928
 
2.3%
Other values (6) 3617
9.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30000
75.0%
Uppercase Letter 10000
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8610
28.7%
1 7466
24.9%
2 6205
20.7%
3 3158
 
10.5%
4 1325
 
4.4%
5 928
 
3.1%
8 867
 
2.9%
9 690
 
2.3%
6 545
 
1.8%
7 206
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
B 2833
28.3%
A 2744
27.4%
C 1826
18.3%
E 1288
12.9%
D 810
 
8.1%
F 499
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30000
75.0%
Latin 10000
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8610
28.7%
1 7466
24.9%
2 6205
20.7%
3 3158
 
10.5%
4 1325
 
4.4%
5 928
 
3.1%
8 867
 
2.9%
9 690
 
2.3%
6 545
 
1.8%
7 206
 
0.7%
Latin
ValueCountFrequency (%)
B 2833
28.3%
A 2744
27.4%
C 1826
18.3%
E 1288
12.9%
D 810
 
8.1%
F 499
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8610
21.5%
1 7466
18.7%
2 6205
15.5%
3 3158
 
7.9%
B 2833
 
7.1%
A 2744
 
6.9%
C 1826
 
4.6%
4 1325
 
3.3%
E 1288
 
3.2%
5 928
 
2.3%
Other values (6) 3617
9.0%

장비세분류명
Text

Distinct238
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:19:36.182207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length33
Mean length12.0619
Min length2

Characters and Unicode

Total characters120619
Distinct characters319
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)0.2%

Sample

1st row(TENS, ICT, SSP, EDIT) 및 (EST) 병용 기기
2nd row디지털영상처리장치
3rd row치과용교합분석기
4th row화학 및 면역 겸용검사기
5th row양도락기
ValueCountFrequency (%)
및 1438
 
6.8%
병용 1194
 
5.6%
기기 1133
 
5.3%
단독 832
 
3.9%
광중합기 655
 
3.1%
치과용방사선촬영장치(아날로그 609
 
2.9%
edit 568
 
2.7%
ict 568
 
2.7%
tens 568
 
2.7%
ssp 568
 
2.7%
Other values (302) 13103
61.7%
2023-12-13T09:19:36.525941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11236
 
9.3%
기 8887
 
7.4%
치 4781
 
4.0%
영 2995
 
2.5%
장 2968
 
2.5%
사 2921
 
2.4%
( 2843
 
2.4%
) 2843
 
2.4%
용 2840
 
2.4%
T 2156
 
1.8%
Other values (309) 76149
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85832
71.2%
Space Separator 11236
 
9.3%
Uppercase Letter 10178
 
8.4%
Lowercase Letter 5029
 
4.2%
Open Punctuation 2843
 
2.4%
Close Punctuation 2843
 
2.4%
Other Punctuation 2044
 
1.7%
Decimal Number 379
 
0.3%
Dash Punctuation 235
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 8887
 
10.4%
치 4781
 
5.6%
영 2995
 
3.5%
장 2968
 
3.5%
사 2921
 
3.4%
용 2840
 
3.3%
촬 1891
 
2.2%
단 1746
 
2.0%
선 1694
 
2.0%
과 1694
 
2.0%
Other values (257) 53415
62.2%
Uppercase Letter
ValueCountFrequency (%)
T 2156
21.2%
S 1850
18.2%
C 1455
14.3%
E 1289
12.7%
I 1136
11.2%
P 693
 
6.8%
D 642
 
6.3%
N 576
 
5.7%
A 177
 
1.7%
Q 46
 
0.5%
Other values (9) 158
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 950
18.9%
o 665
13.2%
n 546
10.9%
m 546
10.9%
a 466
9.3%
b 444
8.8%
r 286
 
5.7%
t 217
 
4.3%
l 184
 
3.7%
y 144
 
2.9%
Other values (8) 581
11.6%
Decimal Number
ValueCountFrequency (%)
6 94
24.8%
1 57
15.0%
4 53
14.0%
5 50
13.2%
3 36
 
9.5%
0 35
 
9.2%
2 30
 
7.9%
8 24
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 1982
97.0%
. 56
 
2.7%
/ 6
 
0.3%
Space Separator
ValueCountFrequency (%)
11236
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2843
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2843
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 235
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85832
71.2%
Common 19580
 
16.2%
Latin 15207
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 8887
 
10.4%
치 4781
 
5.6%
영 2995
 
3.5%
장 2968
 
3.5%
사 2921
 
3.4%
용 2840
 
3.3%
촬 1891
 
2.2%
단 1746
 
2.0%
선 1694
 
2.0%
과 1694
 
2.0%
Other values (257) 53415
62.2%
Latin
ValueCountFrequency (%)
T 2156
14.2%
S 1850
12.2%
C 1455
 
9.6%
E 1289
 
8.5%
I 1136
 
7.5%
e 950
 
6.2%
P 693
 
4.6%
o 665
 
4.4%
D 642
 
4.2%
N 576
 
3.8%
Other values (27) 3795
25.0%
Common
ValueCountFrequency (%)
11236
57.4%
( 2843
 
14.5%
) 2843
 
14.5%
, 1982
 
10.1%
- 235
 
1.2%
6 94
 
0.5%
1 57
 
0.3%
. 56
 
0.3%
4 53
 
0.3%
5 50
 
0.3%
Other values (5) 131
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85832
71.2%
ASCII 34787
28.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11236
32.3%
( 2843
 
8.2%
) 2843
 
8.2%
T 2156
 
6.2%
, 1982
 
5.7%
S 1850
 
5.3%
C 1455
 
4.2%
E 1289
 
3.7%
I 1136
 
3.3%
e 950
 
2.7%
Other values (42) 7047
20.3%
Hangul
ValueCountFrequency (%)
기 8887
 
10.4%
치 4781
 
5.6%
영 2995
 
3.5%
장 2968
 
3.5%
사 2921
 
3.4%
용 2840
 
3.3%
촬 1891
 
2.2%
단 1746
 
2.0%
선 1694
 
2.0%
과 1694
 
2.0%
Other values (257) 53415
62.2%

장비세분류코드
Text

Distinct243
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:19:36.820349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters60000
Distinct characters16
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

Unique23 ?
Unique (%)0.2%

Sample

1st rowC10802
2nd rowB30500
3rd rowE10300
4th rowA11300
5th rowF10100
ValueCountFrequency (%)
e20100 655
 
6.6%
b10301 609
 
6.1%
c10801 521
 
5.2%
b30203 498
 
5.0%
e10200 451
 
4.5%
b30500 377
 
3.8%
b10904 248
 
2.5%
c10100 248
 
2.5%
a20600 243
 
2.4%
a20501 200
 
2.0%
Other values (233) 5950
59.5%
2023-12-13T09:19:37.195786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24162
40.3%
1 9588
 
16.0%
2 7387
 
12.3%
3 3720
 
6.2%
B 2833
 
4.7%
A 2744
 
4.6%
C 1826
 
3.0%
4 1821
 
3.0%
E 1288
 
2.1%
5 963
 
1.6%
Other values (6) 3668
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 50000
83.3%
Uppercase Letter 10000
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24162
48.3%
1 9588
 
19.2%
2 7387
 
14.8%
3 3720
 
7.4%
4 1821
 
3.6%
5 963
 
1.9%
8 870
 
1.7%
9 690
 
1.4%
6 588
 
1.2%
7 211
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
B 2833
28.3%
A 2744
27.4%
C 1826
18.3%
E 1288
12.9%
D 810
 
8.1%
F 499
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
Common 50000
83.3%
Latin 10000
 
16.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24162
48.3%
1 9588
 
19.2%
2 7387
 
14.8%
3 3720
 
7.4%
4 1821
 
3.6%
5 963
 
1.9%
8 870
 
1.7%
9 690
 
1.4%
6 588
 
1.2%
7 211
 
0.4%
Latin
ValueCountFrequency (%)
B 2833
28.3%
A 2744
27.4%
C 1826
18.3%
E 1288
12.9%
D 810
 
8.1%
F 499
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24162
40.3%
1 9588
 
16.0%
2 7387
 
12.3%
3 3720
 
6.2%
B 2833
 
4.7%
A 2744
 
4.6%
C 1826
 
3.0%
4 1821
 
3.0%
E 1288
 
2.1%
5 963
 
1.6%
Other values (6) 3668
 
6.1%

모델명
Text

Distinct3861
Distinct (%)38.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:19:37.447458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length125
Median length90
Mean length12.606
Min length1

Characters and Unicode

Total characters126060
Distinct characters274
Distinct categories15 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2338 ?
Unique (%)23.4%

Sample

1st row0
2nd rowPortView and Accessories
3rd rowHanau Modular Articulator
4th rowcobas c501 module
5th row0
ValueCountFrequency (%)
0 360
 
1.9%
zx 343
 
1.8%
system 263
 
1.4%
olympus 197
 
1.0%
187
 
1.0%
module 183
 
1.0%
root 173
 
0.9%
dentaport 170
 
0.9%
canal 167
 
0.9%
measurement 167
 
0.9%
Other values (4787) 16797
88.4%
2023-12-13T09:19:38.018400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9016
 
7.2%
0 8430
 
6.7%
e 5051
 
4.0%
- 4780
 
3.8%
S 4234
 
3.4%
E 3822
 
3.0%
A 3589
 
2.8%
a 3353
 
2.7%
T 3294
 
2.6%
o 3275
 
2.6%
Other values (264) 77216
61.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 49752
39.5%
Lowercase Letter 39047
31.0%
Decimal Number 20795
16.5%
Space Separator 9016
 
7.2%
Dash Punctuation 4780
 
3.8%
Other Letter 1099
 
0.9%
Other Punctuation 846
 
0.7%
Close Punctuation 227
 
0.2%
Open Punctuation 227
 
0.2%
Letter Number 150
 
0.1%
Other values (5) 121
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
메 79
 
7.2%
원 78
 
7.1%
드 77
 
7.0%
효 75
 
6.8%
솔 75
 
6.8%
스 48
 
4.4%
기 42
 
3.8%
치 24
 
2.2%
료 24
 
2.2%
텐 23
 
2.1%
Other values (172) 554
50.4%
Lowercase Letter
ValueCountFrequency (%)
e 5051
12.9%
a 3353
 
8.6%
o 3275
 
8.4%
i 3186
 
8.2%
t 3029
 
7.8%
r 2995
 
7.7%
s 2758
 
7.1%
n 2520
 
6.5%
l 2491
 
6.4%
u 1626
 
4.2%
Other values (18) 8763
22.4%
Uppercase Letter
ValueCountFrequency (%)
S 4234
 
8.5%
E 3822
 
7.7%
A 3589
 
7.2%
T 3294
 
6.6%
C 3050
 
6.1%
O 3017
 
6.1%
R 2983
 
6.0%
P 2938
 
5.9%
I 2643
 
5.3%
M 2499
 
5.0%
Other values (17) 17683
35.5%
Decimal Number
ValueCountFrequency (%)
0 8430
40.5%
1 2462
 
11.8%
2 2436
 
11.7%
3 1892
 
9.1%
5 1576
 
7.6%
4 968
 
4.7%
6 965
 
4.6%
7 813
 
3.9%
8 703
 
3.4%
9 550
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 293
34.6%
: 161
19.0%
& 136
16.1%
/ 131
15.5%
, 78
 
9.2%
' 33
 
3.9%
# 5
 
0.6%
" 5
 
0.6%
* 4
 
0.5%
Letter Number
ValueCountFrequency (%)
Ⅲ 75
50.0%
Ⅱ 73
48.7%
Ⅳ 1
 
0.7%
ⅰ 1
 
0.7%
Other Symbol
ValueCountFrequency (%)
™ 57
74.0%
® 15
 
19.5%
ⓡ 5
 
6.5%
Close Punctuation
ValueCountFrequency (%)
) 223
98.2%
] 4
 
1.8%
Open Punctuation
ValueCountFrequency (%)
( 223
98.2%
[ 4
 
1.8%
Math Symbol
ValueCountFrequency (%)
+ 26
96.3%
＋ 1
 
3.7%
Space Separator
ValueCountFrequency (%)
9016
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4780
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Other Number
ValueCountFrequency (%)
² 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 88928
70.5%
Common 36012
28.6%
Hangul 1097
 
0.9%
Greek 21
 
< 0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
메 79
 
7.2%
원 78
 
7.1%
드 77
 
7.0%
효 75
 
6.8%
솔 75
 
6.8%
스 48
 
4.4%
기 42
 
3.8%
치 24
 
2.2%
료 24
 
2.2%
텐 23
 
2.1%
Other values (170) 552
50.3%
Latin
ValueCountFrequency (%)
e 5051
 
5.7%
S 4234
 
4.8%
E 3822
 
4.3%
A 3589
 
4.0%
a 3353
 
3.8%
T 3294
 
3.7%
o 3275
 
3.7%
i 3186
 
3.6%
C 3050
 
3.4%
t 3029
 
3.4%
Other values (46) 53045
59.6%
Common
ValueCountFrequency (%)
9016
25.0%
0 8430
23.4%
- 4780
13.3%
1 2462
 
6.8%
2 2436
 
6.8%
3 1892
 
5.3%
5 1576
 
4.4%
4 968
 
2.7%
6 965
 
2.7%
7 813
 
2.3%
Other values (23) 2674
 
7.4%
Greek
ValueCountFrequency (%)
α 17
81.0%
μ 2
 
9.5%
Σ 2
 
9.5%
Han
ValueCountFrequency (%)
氣 1
50.0%
得 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124702
98.9%
Hangul 1097
 
0.9%
Number Forms 150
 
0.1%
Letterlike Symbols 57
 
< 0.1%
None 40
 
< 0.1%
Modifier Letters 7
 
< 0.1%
Enclosed Alphanum 5
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9016
 
7.2%
0 8430
 
6.8%
e 5051
 
4.1%
- 4780
 
3.8%
S 4234
 
3.4%
E 3822
 
3.1%
A 3589
 
2.9%
a 3353
 
2.7%
T 3294
 
2.6%
o 3275
 
2.6%
Other values (69) 75858
60.8%
Hangul
ValueCountFrequency (%)
메 79
 
7.2%
원 78
 
7.1%
드 77
 
7.0%
효 75
 
6.8%
솔 75
 
6.8%
스 48
 
4.4%
기 42
 
3.8%
치 24
 
2.2%
료 24
 
2.2%
텐 23
 
2.1%
Other values (170) 552
50.3%
Number Forms
ValueCountFrequency (%)
Ⅲ 75
50.0%
Ⅱ 73
48.7%
Ⅳ 1
 
0.7%
ⅰ 1
 
0.7%
Letterlike Symbols
ValueCountFrequency (%)
™ 57
100.0%
None
ValueCountFrequency (%)
α 17
42.5%
® 15
37.5%
² 3
 
7.5%
μ 2
 
5.0%
Σ 2
 
5.0%
＋ 1
 
2.5%
Modifier Letters
ValueCountFrequency (%)
˚ 7
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓡ 5
100.0%
CJK
ValueCountFrequency (%)
氣 1
50.0%
得 1
50.0%

장비허가번호
Text

Distinct4108
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T09:19:38.221353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length9.7206
Min length1

Characters and Unicode

Total characters97206
Distinct characters31
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2598 ?
Unique (%)26.0%

Sample

1st row임시1-C10802-00337
2nd row제인12-1507호
3rd row수신98-923호
4th row수신06-1327호
5th row임시1-F10100-00123
ValueCountFrequency (%)
수허04-157호 166
 
1.7%
수허99-1487호 159
 
1.6%
제허09-44호 91
 
0.9%
제인16-4682호 89
 
0.9%
제허90-174호 77
 
0.8%
수허01-877호 68
 
0.7%
제허97-91호 62
 
0.6%
제인16-4019호 57
 
0.6%
제허14-1311호 52
 
0.5%
제허06-977호 49
 
0.5%
Other values (4101) 9133
91.3%
2023-12-13T09:19:38.543786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11983
12.3%
1 10928
11.2%
- 10715
11.0%
호 9211
 
9.5%
허 6464
 
6.6%
2 5349
 
5.5%
4 4962
 
5.1%
수 4708
 
4.8%
9 4658
 
4.8%
제 4501
 
4.6%
Other values (21) 23727
24.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56477
58.1%
Other Letter 29188
30.0%
Dash Punctuation 10715
 
11.0%
Uppercase Letter 775
 
0.8%
Connector Punctuation 48
 
< 0.1%
Space Separator 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 9211
31.6%
허 6464
22.1%
수 4708
16.1%
제 4501
15.4%
신 1401
 
4.8%
인 1339
 
4.6%
임 780
 
2.7%
시 780
 
2.7%
미 1
 
< 0.1%
상 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 11983
21.2%
1 10928
19.3%
2 5349
9.5%
4 4962
8.8%
9 4658
 
8.2%
3 4221
 
7.5%
5 3763
 
6.7%
7 3658
 
6.5%
6 3506
 
6.2%
8 3449
 
6.1%
Uppercase Letter
ValueCountFrequency (%)
C 276
35.6%
A 258
33.3%
F 125
16.1%
D 62
 
8.0%
E 36
 
4.6%
B 18
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 10715
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 48
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 67243
69.2%
Hangul 29188
30.0%
Latin 775
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11983
17.8%
1 10928
16.3%
- 10715
15.9%
2 5349
8.0%
4 4962
7.4%
9 4658
 
6.9%
3 4221
 
6.3%
5 3763
 
5.6%
7 3658
 
5.4%
6 3506
 
5.2%
Other values (3) 3500
 
5.2%
Hangul
ValueCountFrequency (%)
호 9211
31.6%
허 6464
22.1%
수 4708
16.1%
제 4501
15.4%
신 1401
 
4.8%
인 1339
 
4.6%
임 780
 
2.7%
시 780
 
2.7%
미 1
 
< 0.1%
상 1
 
< 0.1%
Other values (2) 2
 
< 0.1%
Latin
ValueCountFrequency (%)
C 276
35.6%
A 258
33.3%
F 125
16.1%
D 62
 
8.0%
E 36
 
4.6%
B 18
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 68018
70.0%
Hangul 29188
30.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11983
17.6%
1 10928
16.1%
- 10715
15.8%
2 5349
7.9%
4 4962
7.3%
9 4658
 
6.8%
3 4221
 
6.2%
5 3763
 
5.5%
7 3658
 
5.4%
6 3506
 
5.2%
Other values (9) 4275
 
6.3%
Hangul
ValueCountFrequency (%)
호 9211
31.6%
허 6464
22.1%
수 4708
16.1%
제 4501
15.4%
신 1401
 
4.8%
인 1339
 
4.6%
임 780
 
2.7%
시 780
 
2.7%
미 1
 
< 0.1%
상 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

장비수
Real number (ℝ)

Distinct50
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6244
Minimum1
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:19:38.663337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile4
Maximum87
Range86
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.1850807
Coefficient of variation (CV)1.9607736
Kurtosis217.75037
Mean1.6244
Median Absolute Deviation (MAD)0
Skewness12.472554
Sum16244
Variance10.144739
MonotonicityNot monotonic
2023-12-13T09:19:38.785063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 8342
83.4%
2 850
 
8.5%
3 272
 
2.7%
4 145
 
1.5%
6 72
 
0.7%
5 65
 
0.7%
8 43
 
0.4%
7 36
 
0.4%
10 26
 
0.3%
9 24
 
0.2%
Other values (40) 125
 
1.2%
ValueCountFrequency (%)
1 8342
83.4%
2 850
 
8.5%
3 272
 
2.7%
4 145
 
1.5%
5 65
 
0.7%
6 72
 
0.7%
7 36
 
0.4%
8 43
 
0.4%
9 24
 
0.2%
10 26
 
0.3%
ValueCountFrequency (%)
87 1
< 0.1%
80 1
< 0.1%
73 1
< 0.1%
71 1
< 0.1%
68 1
< 0.1%
56 1
< 0.1%
54 1
< 0.1%
48 1
< 0.1%
47 1
< 0.1%
46 1
< 0.1%

Interactions

2023-12-13T09:19:33.679770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:19:38.845705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요양종별시군구명장비수
요양종별1.0000.4240.119
시군구명0.4241.0000.016
장비수0.1190.0161.000
2023-12-13T09:19:38.910188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
요양종별시군구명
요양종별1.0000.154
시군구명0.1541.000
2023-12-13T09:19:38.971631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비수요양종별시군구명
장비수1.0000.0500.006
요양종별0.0501.0000.154
시군구명0.0060.1541.000

Missing values

2023-12-13T09:19:33.775727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:19:33.898661image/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

요양기관명요양종별시도명시군구명장비대분류명장비대분류코드장비세분류명장비세분류코드모델명장비허가번호장비수
76631박병우한의원한의원서울특별시종로구저주파자극기C108(TENS, ICT, SSP, EDIT) 및 (EST) 병용 기기C108020임시1-C10802-003371
54805유라치과의원치과의원서울특별시동작구디지털영상처리장치B305디지털영상처리장치B30500PortView and Accessories제인12-1507호1
66142서울수치과의원치과의원서울특별시강동구치과용교합분석기E103치과용교합분석기E10300Hanau Modular Articulator수신98-923호1
22374강서송도병원병원서울특별시강서구임상화학·면역검사기(단독 혹은 병용)A113화학 및 면역 겸용검사기A11300cobas c501 module수신06-1327호1
78189오은정한의원한의원서울특별시동작구양도락기F101양도락기F101000임시1-F10100-001231
47가톨릭대학교 여의도성모병원종합병원서울특별시영등포구유전자신호증폭검사기A122유전자신호증폭검사기A122009001700수인10-132호1
47184김내과의원의원서울특별시용산구심전도감시기A206심전도감시기A20600MP800제인04-506호1
73241연세무지개치과의원치과의원서울특별시구로구디지털영상처리장치B305디지털영상처리장치B30500PortView제허12-1507호1
4855한양대학교병원상급종합병원서울특별시성동구굴절 및 조절검사기A218굴절 및 조절검사기A21800RT-5100수신15-611호1
66522디오연세치과의원치과의원서울특별시서초구디지털영상처리장치B305디지털영상처리장치B30500IOS-U15VF제인15-658호1
요양기관명요양종별시도명시군구명장비대분류명장비대분류코드장비세분류명장비세분류코드모델명장비허가번호장비수
38900코끼리이비인후과의원의원서울특별시강동구후두경A312후두경A31200K8070임시2_A31200_041861
18660서울지구병원병원서울특별시종로구레이저수술기D210기타 매질D21004DS-40U(B)제허07-383호1
41242서초제일마디의원의원서울특별시서초구냉공기치료기C102냉공기치료기C10200MSC제인15-4003호1
72313밝은미소치과의원치과의원서울특별시중구치과근관장측정기E102치과근관장측정기E10200DENTAPORT ZX Canal Measurement Module수허04-157호1
56203연세치과의원치과의원서울특별시마포구치과용방사선촬영장치B103치과용방사선촬영장치(아날로그)B10301DS-GX제허06-956호1
10251대림성모병원종합병원서울특별시영등포구후두경A312후두경A31200RHINOLARYNGO FIBERSCOPE ENF TYPE GP수허04-970호1
12033인제대학교 상계백병원종합병원서울특별시노원구초단파치료기C105초단파치료기C1050011 S601임시1-C10500-000121
19258한솔병원병원서울특별시송파구복강경A306경성 복강경A30601502-539-030수허09-616호1
37355양종목내과의원의원서울특별시관악구식도·위·십이지장경A304연성 식도위십이지장경A30402EG-2930K수허98-1020호1
74675연세해맑은치과의원치과의원서울특별시은평구치과용방사선촬영장치B103치과용방사선촬영장치(아날로그)B10301DX3000제허05-308호1

Duplicate rows

Most frequently occurring

요양기관명요양종별시도명시군구명장비대분류명장비대분류코드장비세분류명장비세분류코드모델명장비허가번호장비수# duplicates
0서울치과의원치과의원서울특별시성북구콘 빔(Cone beam) CTB109콘 빔(Cone beam) CT 및 치과 파노라마촬영 병용 장치B10902PHT-35LHS제인16-4682호12
1제일치과의원치과의원서울특별시중구치과용방사선촬영장치B103치과용방사선촬영장치(아날로그)B10301DS-S제허92-3호12