Overview

Dataset statistics

Number of variables4
Number of observations396
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory32.3 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시남구_의료기관현황_20221215
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15050536

Reproduction

Analysis started2023-12-10 16:52:56.702955
Analysis finished2023-12-10 16:52:57.379542
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
의원
180 
치과의원
108 
한의원
89 
병원
19 

Length

Max length4
Median length2
Mean length2.770202
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 180
45.5%
치과의원 108
27.3%
한의원 89
22.5%
병원 19
 
4.8%

Length

2023-12-11T01:52:57.509030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:57.691841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 180
45.5%
치과의원 108
27.3%
한의원 89
22.5%
병원 19
 
4.8%

의료기관명
Text

Distinct395
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T01:52:57.976567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length7.6792929
Min length3

Characters and Unicode

Total characters3041
Distinct characters316
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique394 ?
Unique (%)99.5%

Sample

1st row우리들40플란트치과병원
2nd row의료법인은경의료재단 인창대연요양병원
3rd row새라새요양병원
4th row임해누리의료소비자생활협동조합 오륙도요양병원
5th row제니스파크요양병원
ValueCountFrequency (%)
의원 22
 
4.9%
한의원 14
 
3.1%
치과의원 5
 
1.1%
로덴치과의원 2
 
0.4%
연 1
 
0.2%
드림패밀리치과의원 1
 
0.2%
허문회치과의원 1
 
0.2%
참좋은치과의원 1
 
0.2%
수부부치과의원 1
 
0.2%
한마음치과의원 1
 
0.2%
Other values (402) 402
89.1%
2023-12-11T01:52:58.556333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 411
 
13.5%
원 403
 
13.3%
과 253
 
8.3%
치 115
 
3.8%
한 112
 
3.7%
이 55
 
1.8%
55
 
1.8%
정 45
 
1.5%
대 39
 
1.3%
인 39
 
1.3%
Other values (306) 1514
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2952
97.1%
Space Separator 55
 
1.8%
Decimal Number 15
 
0.5%
Uppercase Letter 10
 
0.3%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Punctuation 2
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 411
 
13.9%
원 403
 
13.7%
과 253
 
8.6%
치 115
 
3.9%
한 112
 
3.8%
이 55
 
1.9%
정 45
 
1.5%
대 39
 
1.3%
인 39
 
1.3%
부 37
 
1.3%
Other values (286) 1443
48.9%
Uppercase Letter
ValueCountFrequency (%)
H 2
20.0%
W 2
20.0%
C 1
10.0%
T 1
10.0%
E 1
10.0%
F 1
10.0%
I 1
10.0%
B 1
10.0%
Decimal Number
ValueCountFrequency (%)
5 4
26.7%
6 3
20.0%
3 3
20.0%
4 2
13.3%
8 2
13.3%
0 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2952
97.1%
Common 78
 
2.6%
Latin 11
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 411
 
13.9%
원 403
 
13.7%
과 253
 
8.6%
치 115
 
3.9%
한 112
 
3.8%
이 55
 
1.9%
정 45
 
1.5%
대 39
 
1.3%
인 39
 
1.3%
부 37
 
1.3%
Other values (286) 1443
48.9%
Common
ValueCountFrequency (%)
55
70.5%
5 4
 
5.1%
( 3
 
3.8%
) 3
 
3.8%
6 3
 
3.8%
3 3
 
3.8%
4 2
 
2.6%
8 2
 
2.6%
, 1
 
1.3%
0 1
 
1.3%
Latin
ValueCountFrequency (%)
H 2
18.2%
W 2
18.2%
e 1
9.1%
C 1
9.1%
T 1
9.1%
E 1
9.1%
F 1
9.1%
I 1
9.1%
B 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2952
97.1%
ASCII 89
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 411
 
13.9%
원 403
 
13.7%
과 253
 
8.6%
치 115
 
3.9%
한 112
 
3.8%
이 55
 
1.9%
정 45
 
1.5%
대 39
 
1.3%
인 39
 
1.3%
부 37
 
1.3%
Other values (286) 1443
48.9%
ASCII
ValueCountFrequency (%)
55
61.8%
5 4
 
4.5%
( 3
 
3.4%
) 3
 
3.4%
6 3
 
3.4%
3 3
 
3.4%
H 2
 
2.2%
4 2
 
2.2%
8 2
 
2.2%
W 2
 
2.2%
Other values (10) 10
 
11.2%

의료기관주소(도로명)
Text

Distinct383
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T01:52:59.027553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length48
Mean length29.858586
Min length20

Characters and Unicode

Total characters11824
Distinct characters224
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

Unique370 ?
Unique (%)93.4%

Sample

1st row부산광역시 남구 전포대로 90, 4층 401,402호 (문현동)
2nd row부산광역시 남구 수영로 164 (대연동)
3rd row부산광역시 남구 석포로26번길 17 (감만동)
4th row부산광역시 남구 용호로 132, 용성빌딩3,4층 (용호동)
5th row부산광역시 남구 우암양달로75번길 29 (우암동)
ValueCountFrequency (%)
부산광역시 396
15.8%
남구 396
15.8%
대연동 202
 
8.1%
수영로 161
 
6.4%
용호동 111
 
4.4%
2층 68
 
2.7%
용호로 67
 
2.7%
문현동 50
 
2.0%
3층 36
 
1.4%
분포로 27
 
1.1%
Other values (468) 985
39.4%
2023-12-11T01:52:59.646872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2105
 
17.8%
동 454
 
3.8%
시 414
 
3.5%
로 414
 
3.5%
부 411
 
3.5%
남 410
 
3.5%
산 404
 
3.4%
) 403
 
3.4%
( 402
 
3.4%
광 398
 
3.4%
Other values (214) 6009
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6562
55.5%
Space Separator 2105
 
17.8%
Decimal Number 1822
 
15.4%
Close Punctuation 403
 
3.4%
Open Punctuation 402
 
3.4%
Other Punctuation 384
 
3.2%
Uppercase Letter 82
 
0.7%
Dash Punctuation 45
 
0.4%
Lowercase Letter 13
 
0.1%
Math Symbol 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 454
 
6.9%
시 414
 
6.3%
로 414
 
6.3%
부 411
 
6.3%
남 410
 
6.2%
산 404
 
6.2%
광 398
 
6.1%
역 396
 
6.0%
구 396
 
6.0%
호 294
 
4.5%
Other values (174) 2571
39.2%
Uppercase Letter
ValueCountFrequency (%)
A 10
12.2%
S 8
9.8%
I 8
9.8%
V 7
 
8.5%
L 6
 
7.3%
K 6
 
7.3%
G 6
 
7.3%
C 4
 
4.9%
E 4
 
4.9%
W 4
 
4.9%
Other values (9) 19
23.2%
Decimal Number
ValueCountFrequency (%)
1 358
19.6%
2 334
18.3%
3 240
13.2%
0 223
12.2%
4 177
9.7%
5 139
 
7.6%
6 99
 
5.4%
7 95
 
5.2%
9 83
 
4.6%
8 74
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
l 6
46.2%
i 3
23.1%
s 3
23.1%
e 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 382
99.5%
. 2
 
0.5%
Space Separator
ValueCountFrequency (%)
2105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 403
100.0%
Open Punctuation
ValueCountFrequency (%)
( 402
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6562
55.5%
Common 5167
43.7%
Latin 95
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 454
 
6.9%
시 414
 
6.3%
로 414
 
6.3%
부 411
 
6.3%
남 410
 
6.2%
산 404
 
6.2%
광 398
 
6.1%
역 396
 
6.0%
구 396
 
6.0%
호 294
 
4.5%
Other values (174) 2571
39.2%
Latin
ValueCountFrequency (%)
A 10
 
10.5%
S 8
 
8.4%
I 8
 
8.4%
V 7
 
7.4%
l 6
 
6.3%
L 6
 
6.3%
K 6
 
6.3%
G 6
 
6.3%
C 4
 
4.2%
E 4
 
4.2%
Other values (13) 30
31.6%
Common
ValueCountFrequency (%)
2105
40.7%
) 403
 
7.8%
( 402
 
7.8%
, 382
 
7.4%
1 358
 
6.9%
2 334
 
6.5%
3 240
 
4.6%
0 223
 
4.3%
4 177
 
3.4%
5 139
 
2.7%
Other values (7) 404
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6562
55.5%
ASCII 5262
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2105
40.0%
) 403
 
7.7%
( 402
 
7.6%
, 382
 
7.3%
1 358
 
6.8%
2 334
 
6.3%
3 240
 
4.6%
0 223
 
4.2%
4 177
 
3.4%
5 139
 
2.6%
Other values (30) 499
 
9.5%
Hangul
ValueCountFrequency (%)
동 454
 
6.9%
시 414
 
6.3%
로 414
 
6.3%
부 411
 
6.3%
남 410
 
6.2%
산 404
 
6.2%
광 398
 
6.1%
역 396
 
6.0%
구 396
 
6.0%
호 294
 
4.5%
Other values (174) 2571
39.2%

의료기관전화번호
Text

Distinct395
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T01:53:00.021633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.037879
Min length9

Characters and Unicode

Total characters4767
Distinct characters15
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique394 ?
Unique (%)99.5%

Sample

1st row051-633-2875
2nd row051-774-1004
3rd row051-628-6005
4th row051-647-7007
5th row051-644-7733
ValueCountFrequency (%)
051-626-1959 2
 
0.5%
051-929-2875 1
 
0.3%
051-612-1928 1
 
0.3%
051-637-3080 1
 
0.3%
051-622-7575 1
 
0.3%
051-628-8020 1
 
0.3%
051-626-2872 1
 
0.3%
051-611-0050 1
 
0.3%
051-628-6111 1
 
0.3%
051-642-2875 1
 
0.3%
Other values (385) 385
97.2%
2023-12-11T01:53:00.603557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 791
16.6%
1 706
14.8%
0 649
13.6%
5 636
13.3%
6 465
9.8%
2 435
9.1%
7 347
7.3%
8 232
 
4.9%
3 217
 
4.6%
4 151
 
3.2%
Other values (5) 138
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3966
83.2%
Dash Punctuation 791
 
16.6%
Math Symbol 8
 
0.2%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 706
17.8%
0 649
16.4%
5 636
16.0%
6 465
11.7%
2 435
11.0%
7 347
8.7%
8 232
 
5.8%
3 217
 
5.5%
4 151
 
3.8%
9 128
 
3.2%
Math Symbol
ValueCountFrequency (%)
~ 7
87.5%
= 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
* 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 791
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4767
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 791
16.6%
1 706
14.8%
0 649
13.6%
5 636
13.3%
6 465
9.8%
2 435
9.1%
7 347
7.3%
8 232
 
4.9%
3 217
 
4.6%
4 151
 
3.2%
Other values (5) 138
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4767
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 791
16.6%
1 706
14.8%
0 649
13.6%
5 636
13.3%
6 465
9.8%
2 435
9.1%
7 347
7.3%
8 232
 
4.9%
3 217
 
4.6%
4 151
 
3.2%
Other values (5) 138
 
2.9%

Missing values

2023-12-11T01:52:57.188577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:52:57.318347image/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

업종의료기관명의료기관주소(도로명)의료기관전화번호
0병원우리들40플란트치과병원부산광역시 남구 전포대로 90, 4층 401,402호 (문현동)051-633-2875
1병원의료법인은경의료재단 인창대연요양병원부산광역시 남구 수영로 164 (대연동)051-774-1004
2병원새라새요양병원부산광역시 남구 석포로26번길 17 (감만동)051-628-6005
3병원임해누리의료소비자생활협동조합 오륙도요양병원부산광역시 남구 용호로 132, 용성빌딩3,4층 (용호동)051-647-7007
4병원제니스파크요양병원부산광역시 남구 우암양달로75번길 29 (우암동)051-644-7733
5병원위대항병원부산광역시 남구 수영로 241 (대연동)051-928-9000
6병원용당요양병원부산광역시 남구 신선로 429 (용당동)051-625-3001
7병원부산성소병원부산광역시 남구 수영로 175 (대연동, SMG빌딩)051-633-1123
8병원부산아동병원부산광역시 남구 수영로 228, 3-7층 (대연동)051-612-7582
9병원BH병원부산광역시 남구 수영로 165 (대연동)051-633-6665
업종의료기관명의료기관주소(도로명)의료기관전화번호
386한의원국전경희한의원부산광역시 남구 용호로178번길 3 (용호동)051-626-1215
387한의원감만소생 한의원부산광역시 남구 우암로 58-1 (감만동)051-636-3160
388한의원대영한의원부산광역시 남구 못골로 18, 2층 (대연동)051-646-6060
389한의원오복 한의원부산광역시 남구 수영로 203, 대연 메디칼센터 2층 (대연동)051-622-4181
390한의원김종환한의원부산광역시 남구 동명로 137 (용호동)051-626-5880
391한의원정상신한의원부산광역시 남구 우암로 168, 2층 (우암동)051-631-0210
392한의원동천 한의원부산광역시 남구 용호로 100 (용호동)051-611-2080
393한의원혜인 한의원부산광역시 남구 수영로 256 (대연동)051-628-5213
394한의원덕산 한의원부산광역시 남구 천제등로 24 (대연동)051-647-0007
395한의원인일한의원부산광역시 남구 용호로 203 (용호동)051-623-6938