Overview

Dataset statistics

Number of variables4
Number of observations287
Missing cells3
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory32.5 B

Variable types

Text3
Categorical1

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

진료전공 is highly imbalanced (58.8%)Imbalance
연락처 has 3 (1.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:43:20.705521
Analysis finished2023-12-10 23:43:21.095016
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

병·의원명
Text

Distinct286
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-11T08:43:21.253967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length7.1149826
Min length3

Characters and Unicode

Total characters2042
Distinct characters245
Distinct categories2 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique285 ?
Unique (%)99.3%

Sample

1st row양산제일병원
2nd row의료법인 보원의료재단 웅상중앙병원
3rd row서울아이병원
4th row새웅상요양병원
5th row양산서울요양병원
ValueCountFrequency (%)
의원 3
 
1.0%
황치과의원 2
 
0.7%
의료법인 2
 
0.7%
북정제일의원 1
 
0.3%
세민정형외과의원 1
 
0.3%
참조은치과의원 1
 
0.3%
성심한의원 1
 
0.3%
미소치과의원 1
 
0.3%
자양한의원 1
 
0.3%
동인당한의원 1
 
0.3%
Other values (286) 286
95.3%
2023-12-11T08:43:21.957896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 292
 
14.3%
의 281
 
13.8%
과 174
 
8.5%
한 66
 
3.2%
치 64
 
3.1%
이 44
 
2.2%
소 34
 
1.7%
산 33
 
1.6%
인 32
 
1.6%
양 31
 
1.5%
Other values (235) 991
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2029
99.4%
Space Separator 13
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 292
 
14.4%
의 281
 
13.8%
과 174
 
8.6%
한 66
 
3.3%
치 64
 
3.2%
이 44
 
2.2%
소 34
 
1.7%
산 33
 
1.6%
인 32
 
1.6%
양 31
 
1.5%
Other values (234) 978
48.2%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2028
99.3%
Common 13
 
0.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 292
 
14.4%
의 281
 
13.9%
과 174
 
8.6%
한 66
 
3.3%
치 64
 
3.2%
이 44
 
2.2%
소 34
 
1.7%
산 33
 
1.6%
인 32
 
1.6%
양 31
 
1.5%
Other values (233) 977
48.2%
Common
ValueCountFrequency (%)
13
100.0%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2028
99.3%
ASCII 13
 
0.6%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 292
 
14.4%
의 281
 
13.9%
과 174
 
8.6%
한 66
 
3.3%
치 64
 
3.2%
이 44
 
2.2%
소 34
 
1.7%
산 33
 
1.6%
인 32
 
1.6%
양 31
 
1.5%
Other values (233) 977
48.2%
ASCII
ValueCountFrequency (%)
13
100.0%
CJK
ValueCountFrequency (%)
美 1
100.0%

도로명주소
Text

Distinct273
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-11T08:43:22.233906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length28.644599
Min length19

Characters and Unicode

Total characters8221
Distinct characters205
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique262 ?
Unique (%)91.3%

Sample

1st row경상남도 양산시 동면 금오로 255, 4~8층
2nd row경상남도 양산시 서창로 59 (명동)
3rd row경상남도 양산시 양산역로 71, 5층 6층 7층 (중부동, 노바메디칼센터)
4th row경상남도 양산시 서창동1길 7 (삼호동)
5th row경상남도 양산시 삼성7길 11-14 (북정동, 1층 일부, 2~9층)
ValueCountFrequency (%)
경상남도 287
 
16.3%
양산시 287
 
16.3%
중부동 74
 
4.2%
물금읍 52
 
2.9%
덕계동 40
 
2.3%
삼호동 34
 
1.9%
3층 32
 
1.8%
2층 32
 
1.8%
덕계로 29
 
1.6%
서창로 21
 
1.2%
Other values (367) 877
49.7%
2023-12-11T08:43:22.636754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1478
 
18.0%
산 361
 
4.4%
양 346
 
4.2%
상 314
 
3.8%
남 304
 
3.7%
시 299
 
3.6%
경 288
 
3.5%
도 288
 
3.5%
, 268
 
3.3%
( 253
 
3.1%
Other values (195) 4022
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4684
57.0%
Space Separator 1478
 
18.0%
Decimal Number 1228
 
14.9%
Other Punctuation 270
 
3.3%
Open Punctuation 253
 
3.1%
Close Punctuation 253
 
3.1%
Dash Punctuation 29
 
0.4%
Uppercase Letter 12
 
0.1%
Lowercase Letter 10
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 361
 
7.7%
양 346
 
7.4%
상 314
 
6.7%
남 304
 
6.5%
시 299
 
6.4%
경 288
 
6.1%
도 288
 
6.1%
동 251
 
5.4%
로 209
 
4.5%
호 148
 
3.2%
Other values (167) 1876
40.1%
Decimal Number
ValueCountFrequency (%)
1 228
18.6%
2 168
13.7%
3 165
13.4%
0 153
12.5%
4 129
10.5%
6 95
7.7%
5 93
7.6%
8 67
 
5.5%
7 67
 
5.5%
9 63
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
33.3%
L 2
16.7%
A 2
16.7%
E 2
16.7%
C 1
 
8.3%
Y 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
a 4
40.0%
p 2
20.0%
l 2
20.0%
z 2
20.0%
Other Punctuation
ValueCountFrequency (%)
, 268
99.3%
/ 1
 
0.4%
. 1
 
0.4%
Space Separator
ValueCountFrequency (%)
1478
100.0%
Open Punctuation
ValueCountFrequency (%)
( 253
100.0%
Close Punctuation
ValueCountFrequency (%)
) 253
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4684
57.0%
Common 3515
42.8%
Latin 22
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 361
 
7.7%
양 346
 
7.4%
상 314
 
6.7%
남 304
 
6.5%
시 299
 
6.4%
경 288
 
6.1%
도 288
 
6.1%
동 251
 
5.4%
로 209
 
4.5%
호 148
 
3.2%
Other values (167) 1876
40.1%
Common
ValueCountFrequency (%)
1478
42.0%
, 268
 
7.6%
( 253
 
7.2%
) 253
 
7.2%
1 228
 
6.5%
2 168
 
4.8%
3 165
 
4.7%
0 153
 
4.4%
4 129
 
3.7%
6 95
 
2.7%
Other values (8) 325
 
9.2%
Latin
ValueCountFrequency (%)
a 4
18.2%
B 4
18.2%
L 2
9.1%
A 2
9.1%
p 2
9.1%
E 2
9.1%
l 2
9.1%
z 2
9.1%
C 1
 
4.5%
Y 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4684
57.0%
ASCII 3537
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1478
41.8%
, 268
 
7.6%
( 253
 
7.2%
) 253
 
7.2%
1 228
 
6.4%
2 168
 
4.7%
3 165
 
4.7%
0 153
 
4.3%
4 129
 
3.6%
6 95
 
2.7%
Other values (18) 347
 
9.8%
Hangul
ValueCountFrequency (%)
산 361
 
7.7%
양 346
 
7.4%
상 314
 
6.7%
남 304
 
6.5%
시 299
 
6.4%
경 288
 
6.1%
도 288
 
6.1%
동 251
 
5.4%
로 209
 
4.5%
호 148
 
3.2%
Other values (167) 1876
40.1%

연락처
Text

MISSING 

Distinct283
Distinct (%)99.6%
Missing3
Missing (%)1.0%
Memory size2.4 KiB
2023-12-11T08:43:22.889414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.820423
Min length8

Characters and Unicode

Total characters3357
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

Unique282 ?
Unique (%)99.3%

Sample

1st row055-904-7575
2nd row1600-7582
3rd row055-367-1275
4th row055-387-9595
5th row781-1120
ValueCountFrequency (%)
055-385-0772 2
 
0.7%
055-362-2462 1
 
0.4%
055-381-1077 1
 
0.4%
055-367-2828 1
 
0.4%
055-362-1075 1
 
0.4%
055-365-5100 1
 
0.4%
055-362-7528 1
 
0.4%
055-387-3875 1
 
0.4%
055-366-9123 1
 
0.4%
055-372-2875 1
 
0.4%
Other values (273) 273
96.1%
2023-12-11T08:43:23.287860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 749
22.3%
- 555
16.5%
0 434
12.9%
3 356
10.6%
8 309
9.2%
7 244
 
7.3%
6 219
 
6.5%
2 188
 
5.6%
1 139
 
4.1%
4 93
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2802
83.5%
Dash Punctuation 555
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 749
26.7%
0 434
15.5%
3 356
12.7%
8 309
11.0%
7 244
 
8.7%
6 219
 
7.8%
2 188
 
6.7%
1 139
 
5.0%
4 93
 
3.3%
9 71
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 555
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3357
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 749
22.3%
- 555
16.5%
0 434
12.9%
3 356
10.6%
8 309
9.2%
7 244
 
7.3%
6 219
 
6.5%
2 188
 
5.6%
1 139
 
4.1%
4 93
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3357
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 749
22.3%
- 555
16.5%
0 434
12.9%
3 356
10.6%
8 309
9.2%
7 244
 
7.3%
6 219
 
6.5%
2 188
 
5.6%
1 139
 
4.1%
4 93
 
2.8%

진료전공
Categorical

IMBALANCE 

Distinct15
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
221 
내과
 
9
이비인후과
 
9
소아청소년과
 
8
정형외과
 
6
Other values (10)
34 

Length

Max length7
Median length4
Mean length4.0278746
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 221
77.0%
내과 9
 
3.1%
이비인후과 9
 
3.1%
소아청소년과 8
 
2.8%
정형외과 6
 
2.1%
가정의학과 6
 
2.1%
치과 5
 
1.7%
정신건강의학과 4
 
1.4%
안과 4
 
1.4%
산부인과 3
 
1.0%
Other values (5) 12
 
4.2%

Length

2023-12-11T08:43:23.448210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 221
77.0%
내과 9
 
3.1%
이비인후과 9
 
3.1%
소아청소년과 8
 
2.8%
정형외과 6
 
2.1%
가정의학과 6
 
2.1%
치과 5
 
1.7%
정신건강의학과 4
 
1.4%
안과 4
 
1.4%
산부인과 3
 
1.0%
Other values (5) 12
 
4.2%

Missing values

2023-12-11T08:43:20.975405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:43:21.061594image/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

병·의원명도로명주소연락처진료전공
0양산제일병원경상남도 양산시 동면 금오로 255, 4~8층055-904-7575<NA>
1의료법인 보원의료재단 웅상중앙병원경상남도 양산시 서창로 59 (명동)1600-7582정형외과
2서울아이병원경상남도 양산시 양산역로 71, 5층 6층 7층 (중부동, 노바메디칼센터)055-367-1275소아청소년과
3새웅상요양병원경상남도 양산시 서창동1길 7 (삼호동)<NA>가정의학과
4양산서울요양병원경상남도 양산시 삼성7길 11-14 (북정동, 1층 일부, 2~9층)055-387-9595정형외과
5세호요양병원경상남도 양산시 덕계7길 12 (덕계동)781-1120<NA>
6의료법인 인경의료재단 홍익요양병원경상남도 양산시 북안남6길 6 (북부동)364-7565<NA>
7아이조은병원경상남도 양산시 평산로 12 (평산동)055-603-2070<NA>
8유성요양병원경상남도 양산시 삼일로 75 (북부동, 지하1층,1층일부,3-7층)363-1111<NA>
9양산중앙요양병원경상남도 양산시 장터4길 6-9 (중부동)383-7582<NA>
병·의원명도로명주소연락처진료전공
277이상팔내과의원경상남도 양산시 삼일로 67, 4층 (북부동)055-386-0888<NA>
278중앙의원경상남도 양산시 삼일로 104 (중부동)055-387-1850<NA>
279유창한의원경상남도 양산시 서창로 197-1 (삼호동)055-366-6565<NA>
280성은주치과의원경상남도 양산시 서일동로 31 (중부동)055-384-2327<NA>
281서창치과의원경상남도 양산시 서창로 186 (삼호동)055-367-2875<NA>
282황치과의원경상남도 양산시 신기서길 31, 208호 (신기동, 주공상가)055-385-6727<NA>
283박내과의원경상남도 양산시 북안남6길 12 (북부동)055-385-6481<NA>
284변치과의원경상남도 양산시 중앙로 172 (북부동)055-383-4567<NA>
285제생한의원경상남도 양산시 삼일로 85 (북부동)055-385-5688<NA>
286명성한의원경상남도 양산시 장동1길 6 (북부동)055-386-2228<NA>