Overview

Dataset statistics

Number of variables5
Number of observations429
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.9 KiB
Average record size in memory40.3 B

Variable types

Categorical2
Text3

Dataset

Description부산광역시사하구_의료기관현황_20230214
Author부산광역시 사하구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15043273

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-10 16:37:36.564182
Analysis finished2023-12-10 16:37:37.117866
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct8
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
의원
196 
치과의원
101 
한의원
85 
요양병원
21 
병원
 
19
Other values (3)
 
7

Length

Max length4
Median length2
Mean length2.7995338
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
의원 196
45.7%
치과의원 101
23.5%
한의원 85
19.8%
요양병원 21
 
4.9%
병원 19
 
4.4%
정신병원 3
 
0.7%
한방병원 3
 
0.7%
치과병원 1
 
0.2%

Length

2023-12-11T01:37:37.228317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:37:37.404426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 196
45.7%
치과의원 101
23.5%
한의원 85
19.8%
요양병원 21
 
4.9%
병원 19
 
4.4%
정신병원 3
 
0.7%
한방병원 3
 
0.7%
치과병원 1
 
0.2%
Distinct428
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-11T01:37:37.665548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length7.8275058
Min length3

Characters and Unicode

Total characters3358
Distinct characters309
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

Unique427 ?
Unique (%)99.5%

Sample

1st row더탄탄병원
2nd row의료법인서호의료재단 서호하단병원
3rd row파크병원
4th row항스퀘어 병원
5th row괴정어린이병원
ValueCountFrequency (%)
의료법인 5
 
1.1%
의원 3
 
0.6%
이동훈치과의원 2
 
0.4%
치과의원 2
 
0.4%
하단어린이치과의원 1
 
0.2%
온누리치과의원 1
 
0.2%
비젼센터 1
 
0.2%
사람들의 1
 
0.2%
빛낼 1
 
0.2%
온누리를 1
 
0.2%
Other values (452) 452
96.2%
2023-12-11T01:37:38.160879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
452
 
13.5%
441
 
13.1%
270
 
8.0%
114
 
3.4%
105
 
3.1%
62
 
1.8%
57
 
1.7%
55
 
1.6%
47
 
1.4%
44
 
1.3%
Other values (299) 1711
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3294
98.1%
Space Separator 41
 
1.2%
Lowercase Letter 9
 
0.3%
Uppercase Letter 6
 
0.2%
Decimal Number 4
 
0.1%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
452
 
13.7%
441
 
13.4%
270
 
8.2%
114
 
3.5%
105
 
3.2%
62
 
1.9%
57
 
1.7%
55
 
1.7%
47
 
1.4%
44
 
1.3%
Other values (283) 1647
50.0%
Uppercase Letter
ValueCountFrequency (%)
U 2
33.3%
C 1
16.7%
I 1
16.7%
O 1
16.7%
K 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 5
55.6%
t 2
 
22.2%
h 2
 
22.2%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
1 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
41
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3294
98.1%
Common 49
 
1.5%
Latin 15
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
452
 
13.7%
441
 
13.4%
270
 
8.2%
114
 
3.5%
105
 
3.2%
62
 
1.9%
57
 
1.7%
55
 
1.7%
47
 
1.4%
44
 
1.3%
Other values (283) 1647
50.0%
Common
ValueCountFrequency (%)
41
83.7%
4 2
 
4.1%
+ 1
 
2.0%
) 1
 
2.0%
. 1
 
2.0%
( 1
 
2.0%
1 1
 
2.0%
2 1
 
2.0%
Latin
ValueCountFrequency (%)
e 5
33.3%
U 2
 
13.3%
t 2
 
13.3%
h 2
 
13.3%
C 1
 
6.7%
I 1
 
6.7%
O 1
 
6.7%
K 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3294
98.1%
ASCII 64
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
452
 
13.7%
441
 
13.4%
270
 
8.2%
114
 
3.5%
105
 
3.2%
62
 
1.9%
57
 
1.7%
55
 
1.7%
47
 
1.4%
44
 
1.3%
Other values (283) 1647
50.0%
ASCII
ValueCountFrequency (%)
41
64.1%
e 5
 
7.8%
U 2
 
3.1%
t 2
 
3.1%
h 2
 
3.1%
4 2
 
3.1%
C 1
 
1.6%
I 1
 
1.6%
+ 1
 
1.6%
) 1
 
1.6%
Other values (6) 6
 
9.4%
Distinct405
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-11T01:37:38.513821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length48
Mean length28.331002
Min length21

Characters and Unicode

Total characters12154
Distinct characters137
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique382 ?
Unique (%)89.0%

Sample

1st row부산광역시 사하구 사하로 189, 2층,3~4 일부층 (괴정동, 괴정어반푸르지오)
2nd row부산광역시 사하구 낙동대로 446, 6층 602호~15층 (당리동)
3rd row부산광역시 사하구 까치고개로 79-1 (괴정동)
4th row부산광역시 사하구 다대로 251 (장림동)
5th row부산광역시 사하구 사하로 188 (괴정동)
ValueCountFrequency (%)
부산광역시 429
17.2%
사하구 429
17.2%
낙동대로 148
 
5.9%
괴정동 105
 
4.2%
하단동 87
 
3.5%
다대로 81
 
3.3%
다대동 71
 
2.9%
당리동 54
 
2.2%
2층 54
 
2.2%
장림동 49
 
2.0%
Other values (378) 983
39.5%
2023-12-11T01:37:39.047012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2061
 
17.0%
637
 
5.2%
587
 
4.8%
455
 
3.7%
441
 
3.6%
435
 
3.6%
433
 
3.6%
( 429
 
3.5%
429
 
3.5%
429
 
3.5%
Other values (127) 5818
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7074
58.2%
Space Separator 2061
 
17.0%
Decimal Number 1761
 
14.5%
Open Punctuation 429
 
3.5%
Close Punctuation 429
 
3.5%
Other Punctuation 365
 
3.0%
Dash Punctuation 23
 
0.2%
Math Symbol 11
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
637
 
9.0%
587
 
8.3%
455
 
6.4%
441
 
6.2%
435
 
6.1%
433
 
6.1%
429
 
6.1%
429
 
6.1%
429
 
6.1%
425
 
6.0%
Other values (109) 2374
33.6%
Decimal Number
ValueCountFrequency (%)
1 299
17.0%
4 291
16.5%
2 277
15.7%
3 187
10.6%
5 178
10.1%
0 143
8.1%
6 110
 
6.2%
9 95
 
5.4%
7 94
 
5.3%
8 87
 
4.9%
Math Symbol
ValueCountFrequency (%)
~ 10
90.9%
1
 
9.1%
Space Separator
ValueCountFrequency (%)
2061
100.0%
Open Punctuation
ValueCountFrequency (%)
( 429
100.0%
Close Punctuation
ValueCountFrequency (%)
) 429
100.0%
Other Punctuation
ValueCountFrequency (%)
, 365
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7074
58.2%
Common 5079
41.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
637
 
9.0%
587
 
8.3%
455
 
6.4%
441
 
6.2%
435
 
6.1%
433
 
6.1%
429
 
6.1%
429
 
6.1%
429
 
6.1%
425
 
6.0%
Other values (109) 2374
33.6%
Common
ValueCountFrequency (%)
2061
40.6%
( 429
 
8.4%
) 429
 
8.4%
, 365
 
7.2%
1 299
 
5.9%
4 291
 
5.7%
2 277
 
5.5%
3 187
 
3.7%
5 178
 
3.5%
0 143
 
2.8%
Other values (7) 420
 
8.3%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7074
58.2%
ASCII 5079
41.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2061
40.6%
( 429
 
8.4%
) 429
 
8.4%
, 365
 
7.2%
1 299
 
5.9%
4 291
 
5.7%
2 277
 
5.5%
3 187
 
3.7%
5 178
 
3.5%
0 143
 
2.8%
Other values (7) 420
 
8.3%
Hangul
ValueCountFrequency (%)
637
 
9.0%
587
 
8.3%
455
 
6.4%
441
 
6.2%
435
 
6.1%
433
 
6.1%
429
 
6.1%
429
 
6.1%
429
 
6.1%
425
 
6.0%
Other values (109) 2374
33.6%
None
ValueCountFrequency (%)
1
100.0%
Distinct427
Distinct (%)99.8%
Missing1
Missing (%)0.2%
Memory size3.5 KiB
2023-12-11T01:37:39.364842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.002336
Min length12

Characters and Unicode

Total characters5137
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

Unique426 ?
Unique (%)99.5%

Sample

1st row051-961-1000
2nd row051-201-6666
3rd row051-201-8787
4th row051-715-4242
5th row051-201-5275
ValueCountFrequency (%)
051-204-5004 2
 
0.5%
051-262-7528 1
 
0.2%
051-202-2804 1
 
0.2%
051-294-1754 1
 
0.2%
051-201-2893 1
 
0.2%
051-266-2842 1
 
0.2%
051-292-9931 1
 
0.2%
051-206-2275 1
 
0.2%
051-266-2879 1
 
0.2%
051-262-2882 1
 
0.2%
Other values (417) 417
97.4%
2023-12-11T01:37:39.793062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 918
17.9%
- 856
16.7%
5 710
13.8%
1 710
13.8%
2 656
12.8%
7 277
 
5.4%
6 262
 
5.1%
8 218
 
4.2%
9 195
 
3.8%
3 190
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4281
83.3%
Dash Punctuation 856
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 918
21.4%
5 710
16.6%
1 710
16.6%
2 656
15.3%
7 277
 
6.5%
6 262
 
6.1%
8 218
 
5.1%
9 195
 
4.6%
3 190
 
4.4%
4 145
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 856
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5137
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 918
17.9%
- 856
16.7%
5 710
13.8%
1 710
13.8%
2 656
12.8%
7 277
 
5.4%
6 262
 
5.1%
8 218
 
4.2%
9 195
 
3.8%
3 190
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5137
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 918
17.9%
- 856
16.7%
5 710
13.8%
1 710
13.8%
2 656
12.8%
7 277
 
5.4%
6 262
 
5.1%
8 218
 
4.2%
9 195
 
3.8%
3 190
 
3.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-02-14
429 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-14
2nd row2023-02-14
3rd row2023-02-14
4th row2023-02-14
5th row2023-02-14

Common Values

ValueCountFrequency (%)
2023-02-14 429
100.0%

Length

2023-12-11T01:37:39.922125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:37:40.010887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-14 429
100.0%

Missing values

2023-12-11T01:37:36.934525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:37:37.064735image/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

의료기관종별의료기관명의료기관주소(도로명)의료기관전화번호데이터기준일자
0병원더탄탄병원부산광역시 사하구 사하로 189, 2층,3~4 일부층 (괴정동, 괴정어반푸르지오)051-961-10002023-02-14
1병원의료법인서호의료재단 서호하단병원부산광역시 사하구 낙동대로 446, 6층 602호~15층 (당리동)051-201-66662023-02-14
2병원파크병원부산광역시 사하구 까치고개로 79-1 (괴정동)051-201-87872023-02-14
3병원항스퀘어 병원부산광역시 사하구 다대로 251 (장림동)051-715-42422023-02-14
4병원괴정어린이병원부산광역시 사하구 사하로 188 (괴정동)051-201-52752023-02-14
5병원의료법인성신의료재단 다대수병원부산광역시 사하구 다대로 565 (다대동)051-260-10002023-02-14
6병원아주재활병원부산광역시 사하구 낙동남로 1412, 13~15층 (하단동, 경부빌딩)051-713-20002023-02-14
7병원부산맘아동병원부산광역시 사하구 낙동대로 451, 금동빌딩 2,4,5-8층 (하단동)051-271-82752023-02-14
8병원미래아이여성병원부산광역시 사하구 낙동남로 1388 (하단동)051-200-99992023-02-14
9병원부산본병원부산광역시 사하구 승학로 8 (당리동)051-1599-82752023-02-14
의료기관종별의료기관명의료기관주소(도로명)의료기관전화번호데이터기준일자
419한의원백세동덕한의원부산광역시 사하구 하신중앙로 340, 2층 (하단동)051-208-58882023-02-14
420한의원삼명한의원부산광역시 사하구 장림번영로 46 (장림동)051-264-12332023-02-14
421한의원세화한의원부산광역시 사하구 다대로429번길 20, 상가1동 215호 (다대동, 삼환종합상가)051-264-12212023-02-14
422한의원해인한의원부산광역시 사하구 낙동대로 184 (괴정동)051-201-32322023-02-14
423한의원경인한의원부산광역시 사하구 다대로 401, 1,2층 (다대동)051-261-14332023-02-14
424한의원이성우한의원부산광역시 사하구 낙동대로 261 (괴정동)051-205-15462023-02-14
425한의원괴정한의원부산광역시 사하구 낙동대로 206, 2층 (괴정동)051-205-43542023-02-14
426한의원인성한의원부산광역시 사하구 낙동대로 445 (하단동)051-204-57752023-02-14
427한의원행림한의원부산광역시 사하구 낙동대로 309, 1~5층 (괴정동)051-291-50502023-02-14
428한의원해강한의원부산광역시 사하구 감천로 122 (감천동)051-291-98122023-02-14