Overview

Dataset statistics

Number of variables5
Number of observations390
Missing cells3
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.4 KiB
Average record size in memory40.3 B

Variable types

Text4
Categorical1

Dataset

Description부산광역시연제구_의료기관현황_20230918
Author부산광역시 연제구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15066948

Reproduction

Analysis started2023-12-10 16:41:58.030297
Analysis finished2023-12-10 16:41:58.629292
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct389
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T01:41:58.835937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length7.7435897
Min length3

Characters and Unicode

Total characters3020
Distinct characters331
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

Unique388 ?
Unique (%)99.5%

Sample

1st row연산당당한방병원
2nd row아이사랑병원
3rd row정한방병원
4th row한빛병원
5th row아시아드 요양병원
ValueCountFrequency (%)
한의원 4
 
0.9%
치과의원 4
 
0.9%
의원 4
 
0.9%
의료법인 3
 
0.7%
척척의원,한의원 2
 
0.5%
유외과의원 2
 
0.5%
성은의료재단 2
 
0.5%
허성욱한의원 1
 
0.2%
동림한의원 1
 
0.2%
다솜의원 1
 
0.2%
Other values (407) 407
94.4%
2023-12-11T01:41:59.293596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
416
 
13.8%
400
 
13.2%
250
 
8.3%
102
 
3.4%
101
 
3.3%
57
 
1.9%
55
 
1.8%
42
 
1.4%
41
 
1.4%
37
 
1.2%
Other values (321) 1519
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2958
97.9%
Space Separator 41
 
1.4%
Decimal Number 6
 
0.2%
Lowercase Letter 5
 
0.2%
Other Punctuation 3
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
416
 
14.1%
400
 
13.5%
250
 
8.5%
102
 
3.4%
101
 
3.4%
57
 
1.9%
55
 
1.9%
42
 
1.4%
37
 
1.3%
37
 
1.3%
Other values (305) 1461
49.4%
Decimal Number
ValueCountFrequency (%)
2 1
16.7%
7 1
16.7%
1 1
16.7%
3 1
16.7%
6 1
16.7%
5 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 4
80.0%
i 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
& 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2958
97.9%
Common 55
 
1.8%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
416
 
14.1%
400
 
13.5%
250
 
8.5%
102
 
3.4%
101
 
3.4%
57
 
1.9%
55
 
1.9%
42
 
1.4%
37
 
1.3%
37
 
1.3%
Other values (305) 1461
49.4%
Common
ValueCountFrequency (%)
41
74.5%
( 2
 
3.6%
) 2
 
3.6%
, 2
 
3.6%
& 1
 
1.8%
- 1
 
1.8%
2 1
 
1.8%
7 1
 
1.8%
1 1
 
1.8%
3 1
 
1.8%
Other values (2) 2
 
3.6%
Latin
ValueCountFrequency (%)
e 4
57.1%
M 1
 
14.3%
S 1
 
14.3%
i 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2958
97.9%
ASCII 62
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
416
 
14.1%
400
 
13.5%
250
 
8.5%
102
 
3.4%
101
 
3.4%
57
 
1.9%
55
 
1.9%
42
 
1.4%
37
 
1.3%
37
 
1.3%
Other values (305) 1461
49.4%
ASCII
ValueCountFrequency (%)
41
66.1%
e 4
 
6.5%
( 2
 
3.2%
) 2
 
3.2%
, 2
 
3.2%
& 1
 
1.6%
- 1
 
1.6%
2 1
 
1.6%
7 1
 
1.6%
1 1
 
1.6%
Other values (6) 6
 
9.7%
Distinct10
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
의원
179 
치과의원
96 
한의원
83 
병원
 
12
요양병원(일반요양병원)
 
12
Other values (5)
 
8

Length

Max length12
Median length4
Mean length3.0512821
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row한방병원
2nd row병원
3rd row한방병원
4th row병원
5th row요양병원(일반요양병원)

Common Values

ValueCountFrequency (%)
의원 179
45.9%
치과의원 96
24.6%
한의원 83
21.3%
병원 12
 
3.1%
요양병원(일반요양병원) 12
 
3.1%
한방병원 2
 
0.5%
치과병원 2
 
0.5%
정신병원 2
 
0.5%
종합병원 1
 
0.3%
보건소 1
 
0.3%

Length

2023-12-11T01:41:59.472018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:41:59.641899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 179
45.9%
치과의원 96
24.6%
한의원 83
21.3%
병원 12
 
3.1%
요양병원(일반요양병원 12
 
3.1%
한방병원 2
 
0.5%
치과병원 2
 
0.5%
정신병원 2
 
0.5%
종합병원 1
 
0.3%
보건소 1
 
0.3%
Distinct74
Distinct (%)19.1%
Missing2
Missing (%)0.5%
Memory size3.2 KiB
2023-12-11T01:41:59.937976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters2328
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

Unique27 ?
Unique (%)7.0%

Sample

1st row'47580
2nd row'47549
3rd row'47596
4th row'47570
5th row'47540
ValueCountFrequency (%)
47524 42
 
10.8%
47540 27
 
7.0%
47520 23
 
5.9%
47596 20
 
5.2%
47603 17
 
4.4%
47549 17
 
4.4%
47576 14
 
3.6%
47542 14
 
3.6%
47518 13
 
3.4%
47570 12
 
3.1%
Other values (64) 189
48.7%
2023-12-11T01:42:00.714571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 546
23.5%
7 435
18.7%
' 388
16.7%
5 384
16.5%
0 121
 
5.2%
2 113
 
4.9%
6 109
 
4.7%
9 91
 
3.9%
1 59
 
2.5%
8 43
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1940
83.3%
Other Punctuation 388
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 546
28.1%
7 435
22.4%
5 384
19.8%
0 121
 
6.2%
2 113
 
5.8%
6 109
 
5.6%
9 91
 
4.7%
1 59
 
3.0%
8 43
 
2.2%
3 39
 
2.0%
Other Punctuation
ValueCountFrequency (%)
' 388
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2328
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 546
23.5%
7 435
18.7%
' 388
16.7%
5 384
16.5%
0 121
 
5.2%
2 113
 
4.9%
6 109
 
4.7%
9 91
 
3.9%
1 59
 
2.5%
8 43
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2328
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 546
23.5%
7 435
18.7%
' 388
16.7%
5 384
16.5%
0 121
 
5.2%
2 113
 
4.9%
6 109
 
4.7%
9 91
 
3.9%
1 59
 
2.5%
8 43
 
1.8%
Distinct383
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T01:42:01.042298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length47
Mean length29.994872
Min length21

Characters and Unicode

Total characters11698
Distinct characters156
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

Unique376 ?
Unique (%)96.4%

Sample

1st row부산광역시 연제구 월드컵대로 82(연산동)
2nd row부산광역시 연제구 반송로 28-1, 1층 일부(102호, 104호),2,3,4,5,10층 (연산동)
3rd row부산광역시 연제구 월드컵대로 125, 더웰타워 6층일부,9~11층 (연산동)
4th row부산광역시 연제구 과정로 140, 부산은행 4층~10층 (연산동)
5th row부산광역시 연제구 월드컵대로 161 (연산동)
ValueCountFrequency (%)
부산광역시 390
15.9%
연제구 390
15.9%
연산동 327
 
13.3%
중앙대로 105
 
4.3%
2층 81
 
3.3%
거제동 61
 
2.5%
과정로 55
 
2.2%
3층 53
 
2.2%
월드컵대로 52
 
2.1%
4층 38
 
1.5%
Other values (339) 903
36.8%
2023-12-11T01:42:01.658127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2065
17.7%
764
 
6.5%
732
 
6.3%
487
 
4.2%
1 466
 
4.0%
449
 
3.8%
419
 
3.6%
413
 
3.5%
, 402
 
3.4%
) 394
 
3.4%
Other values (146) 5107
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6714
57.4%
Space Separator 2065
 
17.7%
Decimal Number 1686
 
14.4%
Other Punctuation 402
 
3.4%
Close Punctuation 394
 
3.4%
Open Punctuation 394
 
3.4%
Dash Punctuation 17
 
0.1%
Math Symbol 13
 
0.1%
Uppercase Letter 9
 
0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
764
11.4%
732
 
10.9%
487
 
7.3%
449
 
6.7%
419
 
6.2%
413
 
6.2%
390
 
5.8%
390
 
5.8%
390
 
5.8%
390
 
5.8%
Other values (122) 1890
28.2%
Decimal Number
ValueCountFrequency (%)
1 466
27.6%
2 289
17.1%
0 168
 
10.0%
3 168
 
10.0%
4 154
 
9.1%
5 103
 
6.1%
8 97
 
5.8%
7 90
 
5.3%
9 83
 
4.9%
6 68
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
33.3%
C 2
22.2%
U 1
 
11.1%
I 1
 
11.1%
E 1
 
11.1%
T 1
 
11.1%
Math Symbol
ValueCountFrequency (%)
~ 12
92.3%
1
 
7.7%
Space Separator
ValueCountFrequency (%)
2065
100.0%
Other Punctuation
ValueCountFrequency (%)
, 402
100.0%
Close Punctuation
ValueCountFrequency (%)
) 394
100.0%
Open Punctuation
ValueCountFrequency (%)
( 394
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6714
57.4%
Common 4971
42.5%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
764
11.4%
732
 
10.9%
487
 
7.3%
449
 
6.7%
419
 
6.2%
413
 
6.2%
390
 
5.8%
390
 
5.8%
390
 
5.8%
390
 
5.8%
Other values (122) 1890
28.2%
Common
ValueCountFrequency (%)
2065
41.5%
1 466
 
9.4%
, 402
 
8.1%
) 394
 
7.9%
( 394
 
7.9%
2 289
 
5.8%
0 168
 
3.4%
3 168
 
3.4%
4 154
 
3.1%
5 103
 
2.1%
Other values (7) 368
 
7.4%
Latin
ValueCountFrequency (%)
e 4
30.8%
A 3
23.1%
C 2
15.4%
U 1
 
7.7%
I 1
 
7.7%
E 1
 
7.7%
T 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6714
57.4%
ASCII 4983
42.6%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2065
41.4%
1 466
 
9.4%
, 402
 
8.1%
) 394
 
7.9%
( 394
 
7.9%
2 289
 
5.8%
0 168
 
3.4%
3 168
 
3.4%
4 154
 
3.1%
5 103
 
2.1%
Other values (13) 380
 
7.6%
Hangul
ValueCountFrequency (%)
764
11.4%
732
 
10.9%
487
 
7.3%
449
 
6.7%
419
 
6.2%
413
 
6.2%
390
 
5.8%
390
 
5.8%
390
 
5.8%
390
 
5.8%
Other values (122) 1890
28.2%
Math Operators
ValueCountFrequency (%)
1
100.0%
Distinct388
Distinct (%)99.7%
Missing1
Missing (%)0.3%
Memory size3.2 KiB
2023-12-11T01:42:01.924004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.994859
Min length11

Characters and Unicode

Total characters4666
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique387 ?
Unique (%)99.5%

Sample

1st row051-861-7575
2nd row051-711-0113
3rd row051-935-0123
4th row051-645-2400
5th row051-717-0123
ValueCountFrequency (%)
051-853-7582 2
 
0.5%
051-757-5375 1
 
0.3%
051-868-1577 1
 
0.3%
051-865-1616 1
 
0.3%
051-853-2233 1
 
0.3%
051-866-5060 1
 
0.3%
051-852-3200 1
 
0.3%
051-866-8787 1
 
0.3%
051-865-9989 1
 
0.3%
051-867-7105 1
 
0.3%
Other values (378) 378
97.2%
2023-12-11T01:42:02.484604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 838
18.0%
- 773
16.6%
0 654
14.0%
1 645
13.8%
8 461
9.9%
7 353
7.6%
6 282
 
6.0%
2 254
 
5.4%
3 182
 
3.9%
9 121
 
2.6%
Other values (2) 103
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3891
83.4%
Dash Punctuation 773
 
16.6%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 838
21.5%
0 654
16.8%
1 645
16.6%
8 461
11.8%
7 353
9.1%
6 282
 
7.2%
2 254
 
6.5%
3 182
 
4.7%
9 121
 
3.1%
4 101
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 773
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4666
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 838
18.0%
- 773
16.6%
0 654
14.0%
1 645
13.8%
8 461
9.9%
7 353
7.6%
6 282
 
6.0%
2 254
 
5.4%
3 182
 
3.9%
9 121
 
2.6%
Other values (2) 103
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4666
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 838
18.0%
- 773
16.6%
0 654
14.0%
1 645
13.8%
8 461
9.9%
7 353
7.6%
6 282
 
6.0%
2 254
 
5.4%
3 182
 
3.9%
9 121
 
2.6%
Other values (2) 103
 
2.2%

Correlations

2023-12-11T01:42:02.630839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관종별의료기관우편번호(도로명)
의료기관종별1.0000.880
의료기관우편번호(도로명)0.8801.000

Missing values

2023-12-11T01:41:58.393379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:41:58.490552image/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.
2023-12-11T01:41:58.579400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

의료기관명의료기관종별의료기관우편번호(도로명)의료기관주소(도로명)의료기관전화번호
0연산당당한방병원한방병원'47580부산광역시 연제구 월드컵대로 82(연산동)051-861-7575
1아이사랑병원병원'47549부산광역시 연제구 반송로 28-1, 1층 일부(102호, 104호),2,3,4,5,10층 (연산동)051-711-0113
2정한방병원한방병원'47596부산광역시 연제구 월드컵대로 125, 더웰타워 6층일부,9~11층 (연산동)051-935-0123
3한빛병원병원'47570부산광역시 연제구 과정로 140, 부산은행 4층~10층 (연산동)051-645-2400
4아시아드 요양병원요양병원(일반요양병원)'47540부산광역시 연제구 월드컵대로 161 (연산동)051-717-0123
5오오치과병원치과병원'47540부산광역시 연제구 중앙대로 1085, 오오빌딩 (연산동)051-868-5522
6동래나눔과행복병원정신병원'47504부산광역시 연제구 중앙대로 1239 (거제동)051-507-7011
7연산인제요양병원요양병원(일반요양병원)'47569부산광역시 연제구 과정로 152, 4,5층 (연산동)051-757-8007
8연산관자재요양병원요양병원(일반요양병원)'47570부산광역시 연제구 과정로 128 (연산동)051-257-9898
9주성산 이진용맘병원병원'47512부산광역시 연제구 거제대로 295, 8~11층 (거제동)051-868-6078
의료기관명의료기관종별의료기관우편번호(도로명)의료기관주소(도로명)의료기관전화번호
380동래중앙치과의원치과의원'47520부산광역시 연제구 중앙대로 1108, 2층 (연산동)051-865-3006
381지현치과의원치과의원'47565부산광역시 연제구 과정로 224 (연산동)051-756-2878
382김태준치과의원치과의원'47569부산광역시 연제구 과정로 148, 6층 (연산동)051-759-0888
383정부권소아청소년과의원의원'47587부산광역시 연제구 과정로 119 (연산동)051-758-5888
384박무정의원의원'47525부산광역시 연제구 월드컵대로 241, 2~3층 (거제동)051-504-9813
385박병엽내과의원의원'47544부산광역시 연제구 거제대로 158 (거제동)051-852-5161
386유경희소아청소년과의원의원'47550부산광역시 연제구 고분로 25-1 (연산동)051-863-7555
387황원규소아청소년과의원의원'47603부산광역시 연제구 월드컵대로 5 (연산동)051-864-1888
388박수연외과의원의원'47561부산광역시 연제구 과정로 336 (연산동)051-852-8346
389박내과의원의원'47543부산광역시 연제구 거제천로87번길 40 (거제동)051-864-5541