Overview

Dataset statistics

Number of variables3
Number of observations520
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.3 KiB
Average record size in memory24.3 B

Variable types

Text3

Dataset

Description부산광역시_동래구_의료기관현황_20230913
Author부산광역시 동래구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15026061

Alerts

의료기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:44:39.612016
Analysis finished2023-12-10 16:44:40.201805
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct520
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-11T01:44:40.443243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length7.7480769
Min length3

Characters and Unicode

Total characters4029
Distinct characters339
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique520 ?
Unique (%)100.0%

Sample

1st row기운찬한방병원
2nd row거인병원
3rd row새봄병원
4th row부산미남병원
5th row동래정한방병원
ValueCountFrequency (%)
의료법인 14
 
2.5%
정신건강의학과의원 3
 
0.5%
윤재의료재단 2
 
0.4%
은빛의료재단 2
 
0.4%
치과의원 2
 
0.4%
구생한의원 1
 
0.2%
미소를만드는치과교정과치과의원 1
 
0.2%
솔잎한의원 1
 
0.2%
안아픈마을 1
 
0.2%
신일의원 1
 
0.2%
Other values (538) 538
95.1%
2023-12-11T01:44:41.024987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 546
 
13.6%
원 531
 
13.2%
과 332
 
8.2%
치 156
 
3.9%
한 149
 
3.7%
이 69
 
1.7%
정 64
 
1.6%
인 49
 
1.2%
병 48
 
1.2%
46
 
1.1%
Other values (329) 2039
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3955
98.2%
Space Separator 46
 
1.1%
Decimal Number 11
 
0.3%
Uppercase Letter 8
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 546
 
13.8%
원 531
 
13.4%
과 332
 
8.4%
치 156
 
3.9%
한 149
 
3.8%
이 69
 
1.7%
정 64
 
1.6%
인 49
 
1.2%
병 48
 
1.2%
부 45
 
1.1%
Other values (310) 1966
49.7%
Uppercase Letter
ValueCountFrequency (%)
U 2
25.0%
K 2
25.0%
P 1
12.5%
N 1
12.5%
S 1
12.5%
C 1
12.5%
Decimal Number
ValueCountFrequency (%)
0 2
18.2%
6 2
18.2%
3 2
18.2%
5 2
18.2%
9 2
18.2%
1 1
9.1%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3954
98.1%
Common 65
 
1.6%
Latin 9
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 546
 
13.8%
원 531
 
13.4%
과 332
 
8.4%
치 156
 
3.9%
한 149
 
3.8%
이 69
 
1.7%
정 64
 
1.6%
인 49
 
1.2%
병 48
 
1.2%
부 45
 
1.1%
Other values (309) 1965
49.7%
Common
ValueCountFrequency (%)
46
70.8%
) 3
 
4.6%
0 2
 
3.1%
( 2
 
3.1%
6 2
 
3.1%
3 2
 
3.1%
5 2
 
3.1%
9 2
 
3.1%
- 1
 
1.5%
& 1
 
1.5%
Other values (2) 2
 
3.1%
Latin
ValueCountFrequency (%)
U 2
22.2%
K 2
22.2%
P 1
11.1%
e 1
11.1%
N 1
11.1%
S 1
11.1%
C 1
11.1%
Han
ValueCountFrequency (%)
長 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3953
98.1%
ASCII 74
 
1.8%
Compat Jamo 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 546
 
13.8%
원 531
 
13.4%
과 332
 
8.4%
치 156
 
3.9%
한 149
 
3.8%
이 69
 
1.7%
정 64
 
1.6%
인 49
 
1.2%
병 48
 
1.2%
부 45
 
1.1%
Other values (308) 1964
49.7%
ASCII
ValueCountFrequency (%)
46
62.2%
) 3
 
4.1%
U 2
 
2.7%
K 2
 
2.7%
0 2
 
2.7%
( 2
 
2.7%
6 2
 
2.7%
3 2
 
2.7%
5 2
 
2.7%
9 2
 
2.7%
Other values (9) 9
 
12.2%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%
CJK
ValueCountFrequency (%)
長 1
100.0%

의료기관주소(도로명)
Text

Distinct487
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-11T01:44:41.478171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length48
Mean length30.35
Min length20

Characters and Unicode

Total characters15782
Distinct characters205
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

Unique462 ?
Unique (%)88.8%

Sample

1st row부산광역시 동래구 충렬대로 152, 5,6층 (온천동)
2nd row부산광역시 동래구 여고로 12, 거인병원 지하1,지상2~10층 (사직동)
3rd row부산광역시 동래구 충렬대로 152, 3층일부,7~10층 (온천동)
4th row부산광역시 동래구 아시아드대로 213, 류엔미즈메디컬 (온천동)
5th row부산광역시 동래구 충렬대로359번길 14, 세원메디칼센터 2~6층 (안락동)
ValueCountFrequency (%)
부산광역시 520
 
16.4%
동래구 520
 
16.4%
온천동 188
 
5.9%
충렬대로 119
 
3.8%
사직동 96
 
3.0%
2층 84
 
2.7%
안락동 79
 
2.5%
수안동 60
 
1.9%
3층 49
 
1.5%
명륜동 48
 
1.5%
Other values (497) 1403
44.3%
2023-12-11T01:44:42.139098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2646
 
16.8%
동 1097
 
7.0%
시 577
 
3.7%
부 546
 
3.5%
래 544
 
3.4%
산 524
 
3.3%
광 522
 
3.3%
로 521
 
3.3%
( 520
 
3.3%
) 520
 
3.3%
Other values (195) 7765
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9170
58.1%
Space Separator 2646
 
16.8%
Decimal Number 2297
 
14.6%
Open Punctuation 520
 
3.3%
Close Punctuation 520
 
3.3%
Other Punctuation 472
 
3.0%
Uppercase Letter 83
 
0.5%
Dash Punctuation 55
 
0.3%
Math Symbol 12
 
0.1%
Lowercase Letter 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1097
 
12.0%
시 577
 
6.3%
부 546
 
6.0%
래 544
 
5.9%
산 524
 
5.7%
광 522
 
5.7%
로 521
 
5.7%
구 520
 
5.7%
역 520
 
5.7%
층 300
 
3.3%
Other values (159) 3499
38.2%
Uppercase Letter
ValueCountFrequency (%)
K 19
22.9%
S 17
20.5%
B 13
15.7%
H 10
12.0%
U 8
9.6%
Y 7
 
8.4%
A 3
 
3.6%
V 1
 
1.2%
G 1
 
1.2%
L 1
 
1.2%
Other values (3) 3
 
3.6%
Decimal Number
ValueCountFrequency (%)
1 467
20.3%
2 461
20.1%
3 297
12.9%
4 222
9.7%
5 207
9.0%
0 172
 
7.5%
7 134
 
5.8%
9 123
 
5.4%
6 108
 
4.7%
8 106
 
4.6%
Lowercase Letter
ValueCountFrequency (%)
l 1
14.3%
i 1
14.3%
v 1
14.3%
o 1
14.3%
k 1
14.3%
s 1
14.3%
e 1
14.3%
Space Separator
ValueCountFrequency (%)
2646
100.0%
Open Punctuation
ValueCountFrequency (%)
( 520
100.0%
Close Punctuation
ValueCountFrequency (%)
) 520
100.0%
Other Punctuation
ValueCountFrequency (%)
, 472
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9170
58.1%
Common 6522
41.3%
Latin 90
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1097
 
12.0%
시 577
 
6.3%
부 546
 
6.0%
래 544
 
5.9%
산 524
 
5.7%
광 522
 
5.7%
로 521
 
5.7%
구 520
 
5.7%
역 520
 
5.7%
층 300
 
3.3%
Other values (159) 3499
38.2%
Latin
ValueCountFrequency (%)
K 19
21.1%
S 17
18.9%
B 13
14.4%
H 10
11.1%
U 8
8.9%
Y 7
 
7.8%
A 3
 
3.3%
l 1
 
1.1%
i 1
 
1.1%
v 1
 
1.1%
Other values (10) 10
11.1%
Common
ValueCountFrequency (%)
2646
40.6%
( 520
 
8.0%
) 520
 
8.0%
, 472
 
7.2%
1 467
 
7.2%
2 461
 
7.1%
3 297
 
4.6%
4 222
 
3.4%
5 207
 
3.2%
0 172
 
2.6%
Other values (6) 538
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9170
58.1%
ASCII 6612
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2646
40.0%
( 520
 
7.9%
) 520
 
7.9%
, 472
 
7.1%
1 467
 
7.1%
2 461
 
7.0%
3 297
 
4.5%
4 222
 
3.4%
5 207
 
3.1%
0 172
 
2.6%
Other values (26) 628
 
9.5%
Hangul
ValueCountFrequency (%)
동 1097
 
12.0%
시 577
 
6.3%
부 546
 
6.0%
래 544
 
5.9%
산 524
 
5.7%
광 522
 
5.7%
로 521
 
5.7%
구 520
 
5.7%
역 520
 
5.7%
층 300
 
3.3%
Other values (159) 3499
38.2%

의료기관전화번호
Text

Distinct519
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-11T01:44:42.412241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12
Min length9

Characters and Unicode

Total characters6240
Distinct characters13
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

Unique518 ?
Unique (%)99.6%

Sample

1st row051-501-5551
2nd row051-996-7000
3rd row051-503-8288
4th row051-501-8288
5th row051-978-1000
ValueCountFrequency (%)
051-557-3701 2
 
0.4%
051-552-1150 1
 
0.2%
051-501-1075 1
 
0.2%
051-556-7585 1
 
0.2%
051-523-5335 1
 
0.2%
051-553-7500 1
 
0.2%
051-557-6613 1
 
0.2%
051-503-3388 1
 
0.2%
051-558-8880 1
 
0.2%
051-525-9888 1
 
0.2%
Other values (509) 509
97.9%
2023-12-11T01:44:42.902112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1534
24.6%
- 1038
16.6%
0 1035
16.6%
1 811
13.0%
7 415
 
6.7%
2 413
 
6.6%
8 295
 
4.7%
3 255
 
4.1%
6 155
 
2.5%
4 146
 
2.3%
Other values (3) 143
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5199
83.3%
Dash Punctuation 1038
 
16.6%
Math Symbol 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1534
29.5%
0 1035
19.9%
1 811
15.6%
7 415
 
8.0%
2 413
 
7.9%
8 295
 
5.7%
3 255
 
4.9%
6 155
 
3.0%
4 146
 
2.8%
9 140
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 1038
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1534
24.6%
- 1038
16.6%
0 1035
16.6%
1 811
13.0%
7 415
 
6.7%
2 413
 
6.6%
8 295
 
4.7%
3 255
 
4.1%
6 155
 
2.5%
4 146
 
2.3%
Other values (3) 143
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1534
24.6%
- 1038
16.6%
0 1035
16.6%
1 811
13.0%
7 415
 
6.7%
2 413
 
6.6%
8 295
 
4.7%
3 255
 
4.1%
6 155
 
2.5%
4 146
 
2.3%
Other values (3) 143
 
2.3%

Missing values

2023-12-11T01:44:40.032896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:44:40.155100image/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

의료기관명의료기관주소(도로명)의료기관전화번호
0기운찬한방병원부산광역시 동래구 충렬대로 152, 5,6층 (온천동)051-501-5551
1거인병원부산광역시 동래구 여고로 12, 거인병원 지하1,지상2~10층 (사직동)051-996-7000
2새봄병원부산광역시 동래구 충렬대로 152, 3층일부,7~10층 (온천동)051-503-8288
3부산미남병원부산광역시 동래구 아시아드대로 213, 류엔미즈메디컬 (온천동)051-501-8288
4동래정한방병원부산광역시 동래구 충렬대로359번길 14, 세원메디칼센터 2~6층 (안락동)051-978-1000
5부산예한방병원부산광역시 동래구 중앙대로 1523, SKHUBSKY 3,4 일부층 (온천동)051-714-0000
6세인요양병원부산광역시 동래구 여고로 5(사직동)051-501-7500
7황금손한방병원부산광역시 동래구 중앙대로 1325, 이센타워 2,4,5층 (온천동)051-710-7737
8새힘병원부산광역시 동래구 아시아드대로 261, 지하1~지상6층 (온천동)1522-4854
9나르샤병원부산광역시 동래구 중앙대로1493번길 6 (온천동)051-715-7878
의료기관명의료기관주소(도로명)의료기관전화번호
510성암정형외과의원부산광역시 동래구 충렬대로 393 (안락동)051-526-0066
511배현성치과의원부산광역시 동래구 충렬대로 429 (안락동)051-523-6330
512영춘한의원부산광역시 동래구 명륜로94번길 19 (명륜동)051-555-3310
513미남치과의원부산광역시 동래구 중앙대로1367번길 70-4, 2층 (온천동, 남명원룸)051-552-0692
514창덕치과의원부산광역시 동래구 사직북로 23-1, 2층 (사직동)051-501-1535
515문성훈치과의원부산광역시 동래구 사직북로 23-2 (사직동)051-501-9400
516김정태치과의원부산광역시 동래구 석사로 47 (사직동)051-502-4312
517봉생방한의원부산광역시 동래구 동래로190번길 64 (칠산동)051-555-7147
518성로내과의원부산광역시 동래구 동래로136번길 30 (복천동)051-555-8347
519김봉호치과의원부산광역시 동래구 충렬대로237번길 124 (명륜동)051-552-2307