Overview

Dataset statistics

Number of variables5
Number of observations690
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.8 KiB
Average record size in memory41.2 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description해운대구 의료기관 현황 (해운대구 관내 의료기관 현황에 대한 데이터로 의료기관명, 주소, 연락처 등의 정보를 제공합니다.)
URLhttps://www.data.go.kr/data/3075587/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:29:05.086427
Analysis finished2023-12-12 00:29:05.752555
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct690
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345.5
Minimum1
Maximum690
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.2 KiB
2023-12-12T09:29:05.818543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile35.45
Q1173.25
median345.5
Q3517.75
95-th percentile655.55
Maximum690
Range689
Interquartile range (IQR)344.5

Descriptive statistics

Standard deviation199.33013
Coefficient of variation (CV)0.57693235
Kurtosis-1.2
Mean345.5
Median Absolute Deviation (MAD)172.5
Skewness0
Sum238395
Variance39732.5
MonotonicityStrictly increasing
2023-12-12T09:29:05.949777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
465 1
 
0.1%
457 1
 
0.1%
458 1
 
0.1%
459 1
 
0.1%
460 1
 
0.1%
461 1
 
0.1%
462 1
 
0.1%
463 1
 
0.1%
464 1
 
0.1%
Other values (680) 680
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
690 1
0.1%
689 1
0.1%
688 1
0.1%
687 1
0.1%
686 1
0.1%
685 1
0.1%
684 1
0.1%
683 1
0.1%
682 1
0.1%
681 1
0.1%

의료기관명
Text

Distinct687
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2023-12-12T09:29:06.180724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length7.6913043
Min length3

Characters and Unicode

Total characters5307
Distinct characters390
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

Unique684 ?
Unique (%)99.1%

Sample

1st row대한민국만만세병원
2nd row더블유에스치과병원
3rd row해운대 한빛요양병원
4th row퀸즈파크여성병원
5th row이치과병원
ValueCountFrequency (%)
의료법인 6
 
0.8%
미시간치과의원 2
 
0.3%
기립마취통증의학과의원기립한의원 2
 
0.3%
강치과의원 2
 
0.3%
우리치과의원 2
 
0.3%
해운대구보건소 2
 
0.3%
한세의료재단 2
 
0.3%
이동윤한의원 1
 
0.1%
자기치아살리기드림플란트치과의원 1
 
0.1%
박이비인후과의원 1
 
0.1%
Other values (693) 693
97.1%
2023-12-12T09:29:06.549432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 725
 
13.7%
원 707
 
13.3%
과 438
 
8.3%
치 175
 
3.3%
한 168
 
3.2%
이 102
 
1.9%
정 78
 
1.5%
인 65
 
1.2%
센 64
 
1.2%
소 62
 
1.2%
Other values (380) 2723
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5217
98.3%
Space Separator 24
 
0.5%
Decimal Number 24
 
0.5%
Uppercase Letter 17
 
0.3%
Lowercase Letter 11
 
0.2%
Other Punctuation 5
 
0.1%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 725
 
13.9%
원 707
 
13.6%
과 438
 
8.4%
치 175
 
3.4%
한 168
 
3.2%
이 102
 
2.0%
정 78
 
1.5%
인 65
 
1.2%
센 64
 
1.2%
소 62
 
1.2%
Other values (347) 2633
50.5%
Uppercase Letter
ValueCountFrequency (%)
C 4
23.5%
D 2
11.8%
V 2
11.8%
S 2
11.8%
N 1
 
5.9%
I 1
 
5.9%
R 1
 
5.9%
M 1
 
5.9%
O 1
 
5.9%
T 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
5 5
20.8%
3 5
20.8%
6 4
16.7%
2 2
 
8.3%
4 2
 
8.3%
0 2
 
8.3%
1 2
 
8.3%
8 1
 
4.2%
7 1
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
36.4%
i 2
18.2%
n 2
18.2%
c 1
 
9.1%
l 1
 
9.1%
h 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
· 2
40.0%
& 2
40.0%
. 1
20.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5217
98.3%
Common 62
 
1.2%
Latin 28
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 725
 
13.9%
원 707
 
13.6%
과 438
 
8.4%
치 175
 
3.4%
한 168
 
3.2%
이 102
 
2.0%
정 78
 
1.5%
인 65
 
1.2%
센 64
 
1.2%
소 62
 
1.2%
Other values (347) 2633
50.5%
Latin
ValueCountFrequency (%)
C 4
14.3%
e 4
14.3%
i 2
 
7.1%
D 2
 
7.1%
V 2
 
7.1%
n 2
 
7.1%
S 2
 
7.1%
N 1
 
3.6%
c 1
 
3.6%
l 1
 
3.6%
Other values (7) 7
25.0%
Common
ValueCountFrequency (%)
24
38.7%
5 5
 
8.1%
3 5
 
8.1%
6 4
 
6.5%
( 4
 
6.5%
) 4
 
6.5%
2 2
 
3.2%
· 2
 
3.2%
4 2
 
3.2%
0 2
 
3.2%
Other values (6) 8
 
12.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5217
98.3%
ASCII 88
 
1.7%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 725
 
13.9%
원 707
 
13.6%
과 438
 
8.4%
치 175
 
3.4%
한 168
 
3.2%
이 102
 
2.0%
정 78
 
1.5%
인 65
 
1.2%
센 64
 
1.2%
소 62
 
1.2%
Other values (347) 2633
50.5%
ASCII
ValueCountFrequency (%)
24
27.3%
5 5
 
5.7%
3 5
 
5.7%
6 4
 
4.5%
C 4
 
4.5%
( 4
 
4.5%
e 4
 
4.5%
) 4
 
4.5%
2 2
 
2.3%
4 2
 
2.3%
Other values (22) 30
34.1%
None
ValueCountFrequency (%)
· 2
100.0%

의료기관종별
Categorical

Distinct11
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
의원
355 
치과의원
162 
한의원
135 
요양병원(일반요양병원)
 
14
병원
 
13
Other values (6)
 
11

Length

Max length12
Median length2
Mean length2.8985507
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
의원 355
51.4%
치과의원 162
23.5%
한의원 135
 
19.6%
요양병원(일반요양병원) 14
 
2.0%
병원 13
 
1.9%
치과병원 3
 
0.4%
종합병원 2
 
0.3%
정신병원 2
 
0.3%
보건지소 2
 
0.3%
한방병원 1
 
0.1%

Length

2023-12-12T09:29:06.754756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의원 355
51.4%
치과의원 162
23.5%
한의원 135
 
19.6%
요양병원(일반요양병원 14
 
2.0%
병원 13
 
1.9%
치과병원 3
 
0.4%
종합병원 2
 
0.3%
정신병원 2
 
0.3%
보건지소 2
 
0.3%
한방병원 1
 
0.1%

의료기관주소(도로명)
Text

Distinct680
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size5.5 KiB
2023-12-12T09:29:06.969165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length48
Mean length35.705797
Min length22

Characters and Unicode

Total characters24637
Distinct characters266
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

Unique672 ?
Unique (%)97.4%

Sample

1st row부산광역시 해운대구 해운대로 602, 3~4층층 (우동)
2nd row부산광역시 해운대구 좌동순환로 6, 5층및 6층일부층 (중동)
3rd row부산광역시 해운대구 반여로 156, 한빛요양병원 (반여동)
4th row부산광역시 해운대구 해운대로 794, 10~11층 (좌동)
5th row부산광역시 해운대구 마린시티3로 23, 벽산이오렌지프라자 520호 (우동)
ValueCountFrequency (%)
부산광역시 690
 
14.9%
해운대구 690
 
14.9%
우동 215
 
4.6%
좌동 159
 
3.4%
해운대로 114
 
2.5%
2층 94
 
2.0%
중동 93
 
2.0%
반여동 92
 
2.0%
좌동순환로 82
 
1.8%
재송동 71
 
1.5%
Other values (788) 2335
50.4%
2023-12-12T09:29:07.373865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3947
 
16.0%
, 981
 
4.0%
대 932
 
3.8%
운 916
 
3.7%
해 906
 
3.7%
동 896
 
3.6%
시 759
 
3.1%
부 726
 
2.9%
산 711
 
2.9%
2 709
 
2.9%
Other values (256) 13154
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14225
57.7%
Space Separator 3947
 
16.0%
Decimal Number 3884
 
15.8%
Other Punctuation 988
 
4.0%
Open Punctuation 691
 
2.8%
Close Punctuation 691
 
2.8%
Dash Punctuation 84
 
0.3%
Math Symbol 62
 
0.3%
Uppercase Letter 61
 
0.2%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 932
 
6.6%
운 916
 
6.4%
해 906
 
6.4%
동 896
 
6.3%
시 759
 
5.3%
부 726
 
5.1%
산 711
 
5.0%
구 705
 
5.0%
광 692
 
4.9%
역 690
 
4.9%
Other values (224) 6292
44.2%
Uppercase Letter
ValueCountFrequency (%)
A 18
29.5%
B 11
18.0%
E 7
 
11.5%
C 4
 
6.6%
O 3
 
4.9%
L 3
 
4.9%
W 3
 
4.9%
R 3
 
4.9%
T 3
 
4.9%
S 2
 
3.3%
Other values (3) 4
 
6.6%
Decimal Number
ValueCountFrequency (%)
2 709
18.3%
1 639
16.5%
0 620
16.0%
3 470
12.1%
4 339
8.7%
5 303
7.8%
6 218
 
5.6%
7 213
 
5.5%
8 199
 
5.1%
9 174
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 981
99.3%
. 4
 
0.4%
@ 3
 
0.3%
Space Separator
ValueCountFrequency (%)
3947
100.0%
Open Punctuation
ValueCountFrequency (%)
( 691
100.0%
Close Punctuation
ValueCountFrequency (%)
) 691
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Math Symbol
ValueCountFrequency (%)
~ 62
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14225
57.7%
Common 10347
42.0%
Latin 65
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 932
 
6.6%
운 916
 
6.4%
해 906
 
6.4%
동 896
 
6.3%
시 759
 
5.3%
부 726
 
5.1%
산 711
 
5.0%
구 705
 
5.0%
광 692
 
4.9%
역 690
 
4.9%
Other values (224) 6292
44.2%
Common
ValueCountFrequency (%)
3947
38.1%
, 981
 
9.5%
2 709
 
6.9%
( 691
 
6.7%
) 691
 
6.7%
1 639
 
6.2%
0 620
 
6.0%
3 470
 
4.5%
4 339
 
3.3%
5 303
 
2.9%
Other values (8) 957
 
9.2%
Latin
ValueCountFrequency (%)
A 18
27.7%
B 11
16.9%
E 7
 
10.8%
e 4
 
6.2%
C 4
 
6.2%
O 3
 
4.6%
L 3
 
4.6%
W 3
 
4.6%
R 3
 
4.6%
T 3
 
4.6%
Other values (4) 6
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14225
57.7%
ASCII 10412
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3947
37.9%
, 981
 
9.4%
2 709
 
6.8%
( 691
 
6.6%
) 691
 
6.6%
1 639
 
6.1%
0 620
 
6.0%
3 470
 
4.5%
4 339
 
3.3%
5 303
 
2.9%
Other values (22) 1022
 
9.8%
Hangul
ValueCountFrequency (%)
대 932
 
6.6%
운 916
 
6.4%
해 906
 
6.4%
동 896
 
6.3%
시 759
 
5.3%
부 726
 
5.1%
산 711
 
5.0%
구 705
 
5.0%
광 692
 
4.9%
역 690
 
4.9%
Other values (224) 6292
44.2%

의료기관전화번호
Text

Distinct687
Distinct (%)99.7%
Missing1
Missing (%)0.1%
Memory size5.5 KiB
2023-12-12T09:29:07.651935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.991292
Min length9

Characters and Unicode

Total characters8262
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

Unique685 ?
Unique (%)99.4%

Sample

1st row051-741-3131
2nd row051-703-7585
3rd row051-929-2000
4th row051-715-4100
5th row051-747-2828
ValueCountFrequency (%)
051-711-1042 2
 
0.3%
051-714-5789 2
 
0.3%
051-746-2245 1
 
0.1%
051-784-5675 1
 
0.1%
051-744-5959 1
 
0.1%
051-545-4500 1
 
0.1%
051-741-3131 1
 
0.1%
051-527-8254 1
 
0.1%
051-742-9977 1
 
0.1%
051-532-0002 1
 
0.1%
Other values (677) 677
98.3%
2023-12-12T09:29:08.011506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1376
16.7%
0 1280
15.5%
5 1226
14.8%
1 1179
14.3%
7 1011
12.2%
2 507
 
6.1%
4 480
 
5.8%
8 423
 
5.1%
3 319
 
3.9%
9 239
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6886
83.3%
Dash Punctuation 1376
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1280
18.6%
5 1226
17.8%
1 1179
17.1%
7 1011
14.7%
2 507
 
7.4%
4 480
 
7.0%
8 423
 
6.1%
3 319
 
4.6%
9 239
 
3.5%
6 222
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 1376
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8262
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1376
16.7%
0 1280
15.5%
5 1226
14.8%
1 1179
14.3%
7 1011
12.2%
2 507
 
6.1%
4 480
 
5.8%
8 423
 
5.1%
3 319
 
3.9%
9 239
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8262
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1376
16.7%
0 1280
15.5%
5 1226
14.8%
1 1179
14.3%
7 1011
12.2%
2 507
 
6.1%
4 480
 
5.8%
8 423
 
5.1%
3 319
 
3.9%
9 239
 
2.9%

Interactions

2023-12-12T09:29:05.519898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:29:08.112263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.472
의료기관종별0.4721.000
2023-12-12T09:29:08.185532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관종별
순번1.0000.222
의료기관종별0.2221.000

Missing values

2023-12-12T09:29:05.629341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:29:05.718067image/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

순번의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호
01대한민국만만세병원병원부산광역시 해운대구 해운대로 602, 3~4층층 (우동)051-741-3131
12더블유에스치과병원치과병원부산광역시 해운대구 좌동순환로 6, 5층및 6층일부층 (중동)051-703-7585
23해운대 한빛요양병원요양병원(일반요양병원)부산광역시 해운대구 반여로 156, 한빛요양병원 (반여동)051-929-2000
34퀸즈파크여성병원병원부산광역시 해운대구 해운대로 794, 10~11층 (좌동)051-715-4100
45이치과병원치과병원부산광역시 해운대구 마린시티3로 23, 벽산이오렌지프라자 520호 (우동)051-747-2828
56센텀힐병원병원부산광역시 해운대구 해운대로161번길 40 (재송동)051-781-9194
67해운대푸른바다어린이병원병원부산광역시 해운대구 좌동순환로 505, 센트럴메디타워 3층일부, 11층일부, 12.13층,205호~208호 (중동)051-714-3501
78의료법인 해올의료재단 힐마루요양병원요양병원(일반요양병원)부산광역시 해운대구 달맞이길117번나길 174 (중동, 아식스신발연구소)051-715-6000
89의료법인 인당의료재단 해운대부민병원종합병원부산광역시 해운대구 해운대로 584 (우동)051-602-8000
910밝은마음병원정신병원부산광역시 해운대구 해운대로 575, 2~5층 (우동, 국제빌딩)051-746-7272
순번의료기관명의료기관종별의료기관주소(도로명)의료기관전화번호
680681이헌용외과의원의원부산광역시 해운대구 선수촌로 165, 1~2층 (반여동)051-523-8254
681682산수한의원한의원부산광역시 해운대구 아랫반송로21번길 38 (반송동)051-524-1794
682683해운대이비인후과의원의원부산광역시 해운대구 구남로29번길 38 (중동)051-746-8494
683684최치과의원치과의원부산광역시 해운대구 구남로29번길 38, 혜천빌딩 4층 (중동)051-746-3747
684685서울치과의원치과의원부산광역시 해운대구 선수촌로 53, 2~3층 (반여동)051-544-5692
685686김양규한의원한의원부산광역시 해운대구 재반로 213-1 (반여동)051-781-6934
686687양현식치과의원치과의원부산광역시 해운대구 중동1로 35 (중동)051-746-2245
687688이성근치과의원치과의원부산광역시 해운대구 선수촌로 51, 2층 (반여동)051-523-4789
688689정경한의원한의원부산광역시 해운대구 중동1로 12, 6층 (우동)051-746-4018
689690세강한의원한의원부산광역시 해운대구 해운대로61번길 103 (반여동)051-783-1605