Overview

Dataset statistics

Number of variables5
Number of observations332
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.1 KiB
Average record size in memory40.4 B

Variable types

Categorical2
Text3

Dataset

Description경상남도 양산시의 의료기관 정보를 확인할 수 있는 공공데이터입니다. 의료기관명,종별,도로명주소,데이터기준일 등 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3065865

Alerts

의료기관명 has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:43:02.978731
Analysis finished2023-12-10 23:43:03.411925
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행정동
Categorical

Distinct13
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
물금읍
109 
양주동
62 
덕계동
41 
서창동
30 
삼성동
23 
Other values (8)
67 

Length

Max length3
Median length3
Mean length2.9427711
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row물금읍
2nd row물금읍
3rd row삼성동
4th row서창동
5th row원동면

Common Values

ValueCountFrequency (%)
물금읍 109
32.8%
양주동 62
18.7%
덕계동 41
 
12.3%
서창동 30
 
9.0%
삼성동 23
 
6.9%
중앙동 20
 
6.0%
동면 19
 
5.7%
평산동 10
 
3.0%
상북면 6
 
1.8%
하북면 5
 
1.5%
Other values (3) 7
 
2.1%

Length

2023-12-11T08:43:03.462317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
물금읍 109
32.8%
양주동 62
18.7%
덕계동 41
 
12.3%
서창동 30
 
9.0%
삼성동 23
 
6.9%
중앙동 20
 
6.0%
동면 19
 
5.7%
평산동 10
 
3.0%
상북면 6
 
1.8%
하북면 5
 
1.5%
Other values (3) 7
 
2.1%

의료기관명
Text

UNIQUE 

Distinct332
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T08:43:03.639808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length7.1566265
Min length3

Characters and Unicode

Total characters2376
Distinct characters268
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique332 ?
Unique (%)100.0%

Sample

1st row양산부산대학교병원
2nd row본바른병원
3rd row베데스다복음병원
4th row웅상중앙병원
5th row원동보건지소
ValueCountFrequency (%)
양산부산대학교병원 1
 
0.3%
경희한의원 1
 
0.3%
체정한의원 1
 
0.3%
성모한의원 1
 
0.3%
바로서한의원 1
 
0.3%
맑은맘한의원 1
 
0.3%
마디움한의원 1
 
0.3%
동인당한의원 1
 
0.3%
나비한의원 1
 
0.3%
금강한의원 1
 
0.3%
Other values (326) 326
97.0%
2023-12-11T08:43:03.974125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 338
 
14.2%
의 335
 
14.1%
과 199
 
8.4%
한 86
 
3.6%
치 70
 
2.9%
이 68
 
2.9%
산 45
 
1.9%
소 34
 
1.4%
내 34
 
1.4%
아 34
 
1.4%
Other values (258) 1133
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2367
99.6%
Decimal Number 5
 
0.2%
Space Separator 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 338
 
14.3%
의 335
 
14.2%
과 199
 
8.4%
한 86
 
3.6%
치 70
 
3.0%
이 68
 
2.9%
산 45
 
1.9%
소 34
 
1.4%
내 34
 
1.4%
아 34
 
1.4%
Other values (254) 1124
47.5%
Decimal Number
ValueCountFrequency (%)
6 3
60.0%
3 1
 
20.0%
5 1
 
20.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2367
99.6%
Common 9
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 338
 
14.3%
의 335
 
14.2%
과 199
 
8.4%
한 86
 
3.6%
치 70
 
3.0%
이 68
 
2.9%
산 45
 
1.9%
소 34
 
1.4%
내 34
 
1.4%
아 34
 
1.4%
Other values (254) 1124
47.5%
Common
ValueCountFrequency (%)
4
44.4%
6 3
33.3%
3 1
 
11.1%
5 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2367
99.6%
ASCII 9
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 338
 
14.3%
의 335
 
14.2%
과 199
 
8.4%
한 86
 
3.6%
치 70
 
3.0%
이 68
 
2.9%
산 45
 
1.9%
소 34
 
1.4%
내 34
 
1.4%
아 34
 
1.4%
Other values (254) 1124
47.5%
ASCII
ValueCountFrequency (%)
4
44.4%
6 3
33.3%
3 1
 
11.1%
5 1
 
11.1%

종별
Categorical

Distinct8
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
의원
170 
한의원
75 
치과의원
68 
병원
 
10
종합병원
 
3
Other values (3)
 
6

Length

Max length4
Median length2
Mean length2.689759
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row종합병원
2nd row병원
3rd row종합병원
4th row종합병원
5th row보건지소

Common Values

ValueCountFrequency (%)
의원 170
51.2%
한의원 75
22.6%
치과의원 68
 
20.5%
병원 10
 
3.0%
종합병원 3
 
0.9%
한방병원 3
 
0.9%
치과병원 2
 
0.6%
보건지소 1
 
0.3%

Length

2023-12-11T08:43:04.094355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:43:04.196110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 170
51.2%
한의원 75
22.6%
치과의원 68
 
20.5%
병원 10
 
3.0%
종합병원 3
 
0.9%
한방병원 3
 
0.9%
치과병원 2
 
0.6%
보건지소 1
 
0.3%

도로명주소
Text

Distinct323
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T08:43:04.432739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length41
Mean length30.114458
Min length14

Characters and Unicode

Total characters9998
Distinct characters230
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique315 ?
Unique (%)94.9%

Sample

1st row경상남도 양산시 물금읍 금오로20
2nd row경상남도 양산시 물금읍 청운로343
3rd row경상남도 양산시 신기로28
4th row경상남도 양산시 서창로59
5th row경상남도 양산시 원동면 원동로1604
ValueCountFrequency (%)
경상남도 332
 
15.3%
양산시 332
 
15.3%
물금읍 140
 
6.5%
중부동 66
 
3.0%
2층 43
 
2.0%
3층 41
 
1.9%
덕계동 39
 
1.8%
덕계로 31
 
1.4%
삼호동 28
 
1.3%
청운로 27
 
1.2%
Other values (416) 1091
50.3%
2023-12-11T08:43:04.806957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1862
 
18.6%
산 422
 
4.2%
양 395
 
4.0%
시 360
 
3.6%
남 349
 
3.5%
상 347
 
3.5%
경 333
 
3.3%
도 333
 
3.3%
, 322
 
3.2%
1 283
 
2.8%
Other values (220) 4992
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5629
56.3%
Space Separator 1862
 
18.6%
Decimal Number 1604
 
16.0%
Other Punctuation 325
 
3.3%
Open Punctuation 252
 
2.5%
Close Punctuation 252
 
2.5%
Uppercase Letter 37
 
0.4%
Dash Punctuation 21
 
0.2%
Math Symbol 11
 
0.1%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 422
 
7.5%
양 395
 
7.0%
시 360
 
6.4%
남 349
 
6.2%
상 347
 
6.2%
경 333
 
5.9%
도 333
 
5.9%
로 262
 
4.7%
동 239
 
4.2%
호 180
 
3.2%
Other values (184) 2409
42.8%
Uppercase Letter
ValueCountFrequency (%)
A 9
24.3%
B 5
13.5%
E 4
10.8%
Z 3
 
8.1%
P 3
 
8.1%
L 3
 
8.1%
O 2
 
5.4%
Y 2
 
5.4%
R 2
 
5.4%
D 1
 
2.7%
Other values (3) 3
 
8.1%
Decimal Number
ValueCountFrequency (%)
1 283
17.6%
3 241
15.0%
0 228
14.2%
2 199
12.4%
4 182
11.3%
5 137
8.5%
6 112
 
7.0%
8 94
 
5.9%
7 76
 
4.7%
9 52
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 322
99.1%
· 1
 
0.3%
& 1
 
0.3%
. 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
a 2
40.0%
l 1
20.0%
z 1
20.0%
p 1
20.0%
Space Separator
ValueCountFrequency (%)
1862
100.0%
Open Punctuation
ValueCountFrequency (%)
( 252
100.0%
Close Punctuation
ValueCountFrequency (%)
) 252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5629
56.3%
Common 4327
43.3%
Latin 42
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 422
 
7.5%
양 395
 
7.0%
시 360
 
6.4%
남 349
 
6.2%
상 347
 
6.2%
경 333
 
5.9%
도 333
 
5.9%
로 262
 
4.7%
동 239
 
4.2%
호 180
 
3.2%
Other values (184) 2409
42.8%
Common
ValueCountFrequency (%)
1862
43.0%
, 322
 
7.4%
1 283
 
6.5%
( 252
 
5.8%
) 252
 
5.8%
3 241
 
5.6%
0 228
 
5.3%
2 199
 
4.6%
4 182
 
4.2%
5 137
 
3.2%
Other values (9) 369
 
8.5%
Latin
ValueCountFrequency (%)
A 9
21.4%
B 5
11.9%
E 4
9.5%
Z 3
 
7.1%
P 3
 
7.1%
L 3
 
7.1%
O 2
 
4.8%
a 2
 
4.8%
Y 2
 
4.8%
R 2
 
4.8%
Other values (7) 7
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5629
56.3%
ASCII 4368
43.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1862
42.6%
, 322
 
7.4%
1 283
 
6.5%
( 252
 
5.8%
) 252
 
5.8%
3 241
 
5.5%
0 228
 
5.2%
2 199
 
4.6%
4 182
 
4.2%
5 137
 
3.1%
Other values (25) 410
 
9.4%
Hangul
ValueCountFrequency (%)
산 422
 
7.5%
양 395
 
7.0%
시 360
 
6.4%
남 349
 
6.2%
상 347
 
6.2%
경 333
 
5.9%
도 333
 
5.9%
로 262
 
4.7%
동 239
 
4.2%
호 180
 
3.2%
Other values (184) 2409
42.8%
None
ValueCountFrequency (%)
· 1
100.0%

의료기관전화번호
Text

UNIQUE 

Distinct332
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2023-12-11T08:43:05.027251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.996988
Min length9

Characters and Unicode

Total characters3983
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique332 ?
Unique (%)100.0%

Sample

1st row055-360-1000
2nd row055-785-3117
3rd row055-384-9901
4th row1600-7582
5th row055-382-4287
ValueCountFrequency (%)
055-360-1000 1
 
0.3%
055-365-7582 1
 
0.3%
055-785-0123 1
 
0.3%
055-367-1175 1
 
0.3%
055-387-9100 1
 
0.3%
055-363-1288 1
 
0.3%
055-383-1075 1
 
0.3%
055-912-9080 1
 
0.3%
055-386-1393 1
 
0.3%
055-386-1088 1
 
0.3%
Other values (322) 322
97.0%
2023-12-11T08:43:05.358830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 921
23.1%
- 663
16.6%
0 529
13.3%
3 392
9.8%
8 372
9.3%
7 286
 
7.2%
2 238
 
6.0%
6 226
 
5.7%
1 179
 
4.5%
9 93
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3320
83.4%
Dash Punctuation 663
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 921
27.7%
0 529
15.9%
3 392
11.8%
8 372
11.2%
7 286
 
8.6%
2 238
 
7.2%
6 226
 
6.8%
1 179
 
5.4%
9 93
 
2.8%
4 84
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 663
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3983
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 921
23.1%
- 663
16.6%
0 529
13.3%
3 392
9.8%
8 372
9.3%
7 286
 
7.2%
2 238
 
6.0%
6 226
 
5.7%
1 179
 
4.5%
9 93
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3983
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 921
23.1%
- 663
16.6%
0 529
13.3%
3 392
9.8%
8 372
9.3%
7 286
 
7.2%
2 238
 
6.0%
6 226
 
5.7%
1 179
 
4.5%
9 93
 
2.3%

Correlations

2023-12-11T08:43:05.444246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동종별
행정동1.0000.497
종별0.4971.000
2023-12-11T08:43:05.512356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동종별
행정동1.0000.249
종별0.2491.000
2023-12-11T08:43:05.580479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동종별
행정동1.0000.249
종별0.2491.000

Missing values

2023-12-11T08:43:03.308403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:43:03.381882image/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

행정동의료기관명종별도로명주소의료기관전화번호
0물금읍양산부산대학교병원종합병원경상남도 양산시 물금읍 금오로20055-360-1000
1물금읍본바른병원병원경상남도 양산시 물금읍 청운로343055-785-3117
2삼성동베데스다복음병원종합병원경상남도 양산시 신기로28055-384-9901
3서창동웅상중앙병원종합병원경상남도 양산시 서창로591600-7582
4원동면원동보건지소보건지소경상남도 양산시 원동면 원동로1604055-382-4287
5물금읍서울패미리병원병원경상남도 양산시 물금읍 증산역로 135, 퍼스트조양 6.7층055-785-2020
6물금읍양산아이들병원병원경상남도 양산시 물금읍 청운로 354, 아이시티 6~7층055-780-1111
7물금읍이레아이병원병원경상남도 양산시 물금읍 청운로 185, 504~507, 601~605호055-781-1175
8물금읍부산대학교한방병원한방병원경상남도 양산시 물금읍 금오로 20 (양산부산대학교병원)055-360-5555
9물금읍양산더존한방병원한방병원경상남도 양산시 물금읍 청운로 349, 세정에스타 5~6층055-785-0000
행정동의료기관명종별도로명주소의료기관전화번호
322덕계동참조은치과의원치과의원경상남도 양산시 덕계로 78, 2층 (덕계동)055-362-7528
323덕계동타임치과의원치과의원경상남도 양산시 번영로 13, 2층 (덕계동)055-383-2833
324덕계동하나치과의원치과의원경상남도 양산시 덕계로 99 (덕계동)055-367-7528
325덕계동대광한의원한의원경상남도 양산시 덕계로 85 (덕계동)055-387-7077
326덕계동대추한의원한의원경상남도 양산시 덕계로 116 (덕계동)055-367-1075
327덕계동동의한의원한의원경상남도 양산시 덕계로 75 (덕계동, 파리바게뜨)055-388-0175
328덕계동동화한의원한의원경상남도 양산시 덕계로 91 (덕계동)055-388-3337
329덕계동명제한의원한의원경상남도 양산시 덕계로 76, 2층 (덕계동)055-387-9479
330덕계동세명한의원한의원경상남도 양산시 덕계2길 6 (덕계동)055-366-0034
331덕계동우리한의원한의원경상남도 양산시 덕계로 51, 2층 (덕계동)055-362-2061