Overview

Dataset statistics

Number of variables4
Number of observations369
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.7 KiB
Average record size in memory32.4 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시남구_의료기관현황_20210621
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15050536

Reproduction

Analysis started2023-12-10 16:52:41.068431
Analysis finished2023-12-10 16:52:41.553237
Duration0.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
의원
159 
치과의원
102 
한의원
89 
병원
18 
051-
 
1

Length

Max length4
Median length3
Mean length2.799458
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
의원 159
43.1%
치과의원 102
27.6%
한의원 89
24.1%
병원 18
 
4.9%
051- 1
 
0.3%

Length

2023-12-11T01:52:41.672661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:41.819407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 159
43.1%
치과의원 102
27.6%
한의원 89
24.1%
병원 18
 
4.9%
051 1
 
0.3%

의료기관명
Text

Distinct367
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T01:52:42.101527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length7.4796748
Min length3

Characters and Unicode

Total characters2760
Distinct characters298
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

Unique365 ?
Unique (%)98.9%

Sample

1st row우리들40플란트치과병원
2nd row의료법인은경의료재단 인창대연요양병원
3rd row새라새요양병원
4th row임해누리의료소비자생활협동조합 오륙도요양병원
5th row제니스파크요양병원
ValueCountFrequency (%)
의원 26
 
6.1%
한의원 15
 
3.5%
치과의원 5
 
1.2%
청담한의원 2
 
0.5%
로덴치과의원 2
 
0.5%
동천 1
 
0.2%
참좋은치과의원 1
 
0.2%
한겨레치과 1
 
0.2%
지명철치과 1
 
0.2%
우암치과 1
 
0.2%
Other values (370) 370
87.1%
2023-12-11T01:52:42.520716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 376
 
13.6%
의 375
 
13.6%
과 233
 
8.4%
치 110
 
4.0%
한 109
 
3.9%
56
 
2.0%
이 49
 
1.8%
정 40
 
1.4%
인 37
 
1.3%
소 34
 
1.2%
Other values (288) 1341
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2680
97.1%
Space Separator 56
 
2.0%
Decimal Number 8
 
0.3%
Uppercase Letter 7
 
0.3%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Other Punctuation 2
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 376
 
14.0%
의 375
 
14.0%
과 233
 
8.7%
치 110
 
4.1%
한 109
 
4.1%
이 49
 
1.8%
정 40
 
1.5%
인 37
 
1.4%
소 34
 
1.3%
대 33
 
1.2%
Other values (272) 1284
47.9%
Decimal Number
ValueCountFrequency (%)
5 2
25.0%
6 2
25.0%
3 2
25.0%
0 1
12.5%
4 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
W 2
28.6%
H 2
28.6%
B 1
14.3%
E 1
14.3%
T 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2680
97.1%
Common 72
 
2.6%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 376
 
14.0%
의 375
 
14.0%
과 233
 
8.7%
치 110
 
4.1%
한 109
 
4.1%
이 49
 
1.8%
정 40
 
1.5%
인 37
 
1.4%
소 34
 
1.3%
대 33
 
1.2%
Other values (272) 1284
47.9%
Common
ValueCountFrequency (%)
56
77.8%
) 3
 
4.2%
( 3
 
4.2%
5 2
 
2.8%
6 2
 
2.8%
3 2
 
2.8%
0 1
 
1.4%
4 1
 
1.4%
, 1
 
1.4%
. 1
 
1.4%
Latin
ValueCountFrequency (%)
W 2
25.0%
H 2
25.0%
B 1
12.5%
E 1
12.5%
e 1
12.5%
T 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2680
97.1%
ASCII 80
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 376
 
14.0%
의 375
 
14.0%
과 233
 
8.7%
치 110
 
4.1%
한 109
 
4.1%
이 49
 
1.8%
정 40
 
1.5%
인 37
 
1.4%
소 34
 
1.3%
대 33
 
1.2%
Other values (272) 1284
47.9%
ASCII
ValueCountFrequency (%)
56
70.0%
) 3
 
3.8%
( 3
 
3.8%
5 2
 
2.5%
6 2
 
2.5%
3 2
 
2.5%
W 2
 
2.5%
H 2
 
2.5%
B 1
 
1.2%
0 1
 
1.2%
Other values (6) 6
 
7.5%

의료기관주소(도로명)
Text

Distinct355
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T01:52:42.897547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length47
Mean length29.260163
Min length20

Characters and Unicode

Total characters10797
Distinct characters202
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

Unique341 ?
Unique (%)92.4%

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 369
16.2%
남구 369
16.2%
대연동 184
 
8.1%
수영로 149
 
6.5%
용호동 102
 
4.5%
용호로 61
 
2.7%
2층 57
 
2.5%
문현동 48
 
2.1%
3층 32
 
1.4%
분포로 24
 
1.1%
Other values (431) 889
38.9%
2023-12-11T01:52:43.430680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1917
 
17.8%
동 419
 
3.9%
시 387
 
3.6%
로 387
 
3.6%
부 382
 
3.5%
남 382
 
3.5%
) 376
 
3.5%
( 375
 
3.5%
산 374
 
3.5%
광 371
 
3.4%
Other values (192) 5427
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6035
55.9%
Space Separator 1917
 
17.8%
Decimal Number 1636
 
15.2%
Close Punctuation 376
 
3.5%
Open Punctuation 375
 
3.5%
Other Punctuation 338
 
3.1%
Uppercase Letter 59
 
0.5%
Dash Punctuation 45
 
0.4%
Lowercase Letter 13
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 419
 
6.9%
시 387
 
6.4%
로 387
 
6.4%
부 382
 
6.3%
남 382
 
6.3%
산 374
 
6.2%
광 371
 
6.1%
역 369
 
6.1%
구 369
 
6.1%
호 264
 
4.4%
Other values (156) 2331
38.6%
Uppercase Letter
ValueCountFrequency (%)
S 7
11.9%
G 6
10.2%
I 5
8.5%
K 5
8.5%
V 5
8.5%
L 5
8.5%
B 5
8.5%
E 4
6.8%
W 4
6.8%
A 4
6.8%
Other values (5) 9
15.3%
Decimal Number
ValueCountFrequency (%)
1 333
20.4%
2 300
18.3%
3 212
13.0%
0 195
11.9%
4 152
9.3%
5 132
 
8.1%
7 87
 
5.3%
6 81
 
5.0%
9 81
 
5.0%
8 63
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
l 6
46.2%
s 3
23.1%
i 3
23.1%
c 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 337
99.7%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
1917
100.0%
Close Punctuation
ValueCountFrequency (%)
) 376
100.0%
Open Punctuation
ValueCountFrequency (%)
( 375
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6035
55.9%
Common 4690
43.4%
Latin 72
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 419
 
6.9%
시 387
 
6.4%
로 387
 
6.4%
부 382
 
6.3%
남 382
 
6.3%
산 374
 
6.2%
광 371
 
6.1%
역 369
 
6.1%
구 369
 
6.1%
호 264
 
4.4%
Other values (156) 2331
38.6%
Latin
ValueCountFrequency (%)
S 7
 
9.7%
l 6
 
8.3%
G 6
 
8.3%
I 5
 
6.9%
K 5
 
6.9%
V 5
 
6.9%
L 5
 
6.9%
B 5
 
6.9%
E 4
 
5.6%
W 4
 
5.6%
Other values (9) 20
27.8%
Common
ValueCountFrequency (%)
1917
40.9%
) 376
 
8.0%
( 375
 
8.0%
, 337
 
7.2%
1 333
 
7.1%
2 300
 
6.4%
3 212
 
4.5%
0 195
 
4.2%
4 152
 
3.2%
5 132
 
2.8%
Other values (7) 361
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6035
55.9%
ASCII 4762
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1917
40.3%
) 376
 
7.9%
( 375
 
7.9%
, 337
 
7.1%
1 333
 
7.0%
2 300
 
6.3%
3 212
 
4.5%
0 195
 
4.1%
4 152
 
3.2%
5 132
 
2.8%
Other values (26) 433
 
9.1%
Hangul
ValueCountFrequency (%)
동 419
 
6.9%
시 387
 
6.4%
로 387
 
6.4%
부 382
 
6.3%
남 382
 
6.3%
산 374
 
6.2%
광 371
 
6.1%
역 369
 
6.1%
구 369
 
6.1%
호 264
 
4.4%
Other values (156) 2331
38.6%

의료기관전화번호
Text

Distinct368
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T01:52:43.754673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters4428
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

Unique367 ?
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%
051-621-2080 1
 
0.3%
051-622-2875 1
 
0.3%
051-634-2875 1
 
0.3%
051-622-8582 1
 
0.3%
051-643-2875 1
 
0.3%
051-610-1444 1
 
0.3%
051-627-6797 1
 
0.3%
051-637-2875 1
 
0.3%
051-624-2875 1
 
0.3%
Other values (358) 358
97.0%
2023-12-11T01:52:44.218768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 738
16.7%
1 635
14.3%
5 605
13.7%
0 587
13.3%
6 459
10.4%
2 416
9.4%
7 311
7.0%
8 214
 
4.8%
3 204
 
4.6%
4 147
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3690
83.3%
Dash Punctuation 738
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 635
17.2%
5 605
16.4%
0 587
15.9%
6 459
12.4%
2 416
11.3%
7 311
8.4%
8 214
 
5.8%
3 204
 
5.5%
4 147
 
4.0%
9 112
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 738
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4428
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 738
16.7%
1 635
14.3%
5 605
13.7%
0 587
13.3%
6 459
10.4%
2 416
9.4%
7 311
7.0%
8 214
 
4.8%
3 204
 
4.6%
4 147
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4428
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 738
16.7%
1 635
14.3%
5 605
13.7%
0 587
13.3%
6 459
10.4%
2 416
9.4%
7 311
7.0%
8 214
 
4.8%
3 204
 
4.6%
4 147
 
3.3%

Missing values

2023-12-11T01:52:41.403131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:52:41.495047image/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
359한의원감만소생 한의원부산광역시 남구 우암로 58-1 (감만동)051-636-3160
360한의원대영한의원부산광역시 남구 못골로 18, 2층 (대연동)051-646-6060
361한의원오복 한의원부산광역시 남구 수영로 203, 201호 (대연동)051-622-4181
362한의원김종환한의원부산광역시 남구 동명로 137 (용호동)051-626-5880
363한의원정상신한의원부산광역시 남구 홍곡로 14 (감만동)051-631-0210
364한의원박상원 한의원부산광역시 남구 진남로 52 (대연동)051-623-6768
365한의원동천 한의원부산광역시 남구 용호로 100 (용호동)051-611-2080
366한의원혜인 한의원부산광역시 남구 수영로 256 (대연동)051-628-5213
367한의원덕산 한의원부산광역시 남구 천제등로 24 (대연동)051-647-0007
368한의원인일한의원부산광역시 남구 용호로 203 (용호동)051-623-6938