Overview

Dataset statistics

Number of variables4
Number of observations387
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.2 KiB
Average record size in memory32.3 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시남구_의료기관현황_20220615
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15050536

Reproduction

Analysis started2023-12-10 16:53:02.216505
Analysis finished2023-12-10 16:53:02.604720
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
의원
173 
치과의원
106 
한의원
89 
병원
19 

Length

Max length4
Median length3
Mean length2.7777778
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 173
44.7%
치과의원 106
27.4%
한의원 89
23.0%
병원 19
 
4.9%

Length

2023-12-11T01:53:02.675158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:53:02.778709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 173
44.7%
치과의원 106
27.4%
한의원 89
23.0%
병원 19
 
4.9%

의료기관명
Text

Distinct385
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T01:53:02.967057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length7.6485788
Min length3

Characters and Unicode

Total characters2960
Distinct characters313
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

Unique383 ?
Unique (%)99.0%

Sample

1st row우리들40플란트치과병원
2nd row의료법인은경의료재단 인창대연요양병원
3rd row새라새요양병원
4th row임해누리의료소비자생활협동조합 오륙도요양병원
5th row제니스파크요양병원
ValueCountFrequency (%)
의원 23
 
5.2%
한의원 14
 
3.2%
치과의원 5
 
1.1%
청담한의원 2
 
0.5%
로덴치과의원 2
 
0.5%
동천 1
 
0.2%
우리들40플란트치과병원 1
 
0.2%
드림패밀리치과의원 1
 
0.2%
연세치과 1
 
0.2%
참좋은치과의원 1
 
0.2%
Other values (392) 392
88.5%
2023-12-11T01:53:03.283739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 399
 
13.5%
원 394
 
13.3%
과 245
 
8.3%
치 113
 
3.8%
한 112
 
3.8%
56
 
1.9%
이 52
 
1.8%
정 45
 
1.5%
부 37
 
1.2%
대 36
 
1.2%
Other values (303) 1471
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2872
97.0%
Space Separator 56
 
1.9%
Decimal Number 13
 
0.4%
Uppercase Letter 10
 
0.3%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Punctuation 2
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 399
 
13.9%
원 394
 
13.7%
과 245
 
8.5%
치 113
 
3.9%
한 112
 
3.9%
이 52
 
1.8%
정 45
 
1.6%
부 37
 
1.3%
대 36
 
1.3%
인 36
 
1.3%
Other values (284) 1403
48.9%
Uppercase Letter
ValueCountFrequency (%)
W 2
20.0%
H 2
20.0%
B 1
10.0%
C 1
10.0%
F 1
10.0%
I 1
10.0%
E 1
10.0%
T 1
10.0%
Decimal Number
ValueCountFrequency (%)
5 4
30.8%
3 3
23.1%
6 3
23.1%
4 2
15.4%
0 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2872
97.0%
Common 77
 
2.6%
Latin 11
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 399
 
13.9%
원 394
 
13.7%
과 245
 
8.5%
치 113
 
3.9%
한 112
 
3.9%
이 52
 
1.8%
정 45
 
1.6%
부 37
 
1.3%
대 36
 
1.3%
인 36
 
1.3%
Other values (284) 1403
48.9%
Common
ValueCountFrequency (%)
56
72.7%
5 4
 
5.2%
3 3
 
3.9%
6 3
 
3.9%
( 3
 
3.9%
) 3
 
3.9%
4 2
 
2.6%
0 1
 
1.3%
, 1
 
1.3%
. 1
 
1.3%
Latin
ValueCountFrequency (%)
W 2
18.2%
H 2
18.2%
B 1
9.1%
C 1
9.1%
F 1
9.1%
I 1
9.1%
e 1
9.1%
E 1
9.1%
T 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2872
97.0%
ASCII 88
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 399
 
13.9%
원 394
 
13.7%
과 245
 
8.5%
치 113
 
3.9%
한 112
 
3.9%
이 52
 
1.8%
정 45
 
1.6%
부 37
 
1.3%
대 36
 
1.3%
인 36
 
1.3%
Other values (284) 1403
48.9%
ASCII
ValueCountFrequency (%)
56
63.6%
5 4
 
4.5%
3 3
 
3.4%
6 3
 
3.4%
( 3
 
3.4%
) 3
 
3.4%
4 2
 
2.3%
W 2
 
2.3%
H 2
 
2.3%
0 1
 
1.1%
Other values (9) 9
 
10.2%

의료기관주소(도로명)
Text

Distinct375
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T01:53:03.624382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length48
Mean length29.834625
Min length20

Characters and Unicode

Total characters11546
Distinct characters222
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

Unique363 ?
Unique (%)93.8%

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 387
15.9%
남구 387
15.9%
대연동 194
 
8.0%
수영로 159
 
6.5%
용호동 108
 
4.4%
용호로 65
 
2.7%
2층 62
 
2.5%
문현동 52
 
2.1%
3층 33
 
1.4%
분포로 27
 
1.1%
Other values (461) 964
39.5%
2023-12-11T01:53:04.109310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2053
 
17.8%
동 445
 
3.9%
시 405
 
3.5%
로 405
 
3.5%
부 402
 
3.5%
남 399
 
3.5%
산 395
 
3.4%
) 394
 
3.4%
( 393
 
3.4%
광 389
 
3.4%
Other values (212) 5866
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6419
55.6%
Space Separator 2053
 
17.8%
Decimal Number 1769
 
15.3%
Close Punctuation 394
 
3.4%
Open Punctuation 393
 
3.4%
Other Punctuation 372
 
3.2%
Uppercase Letter 83
 
0.7%
Dash Punctuation 44
 
0.4%
Lowercase Letter 13
 
0.1%
Math Symbol 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 445
 
6.9%
시 405
 
6.3%
로 405
 
6.3%
부 402
 
6.3%
남 399
 
6.2%
산 395
 
6.2%
광 389
 
6.1%
역 387
 
6.0%
구 387
 
6.0%
호 285
 
4.4%
Other values (172) 2520
39.3%
Uppercase Letter
ValueCountFrequency (%)
A 10
12.0%
I 8
9.6%
S 8
9.6%
V 7
 
8.4%
G 6
 
7.2%
L 6
 
7.2%
K 6
 
7.2%
B 5
 
6.0%
E 4
 
4.8%
W 4
 
4.8%
Other values (9) 19
22.9%
Decimal Number
ValueCountFrequency (%)
1 348
19.7%
2 321
18.1%
3 235
13.3%
0 219
12.4%
4 171
9.7%
5 136
 
7.7%
6 95
 
5.4%
7 92
 
5.2%
9 81
 
4.6%
8 71
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
l 6
46.2%
i 3
23.1%
s 3
23.1%
e 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 370
99.5%
. 2
 
0.5%
Space Separator
ValueCountFrequency (%)
2053
100.0%
Close Punctuation
ValueCountFrequency (%)
) 394
100.0%
Open Punctuation
ValueCountFrequency (%)
( 393
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6419
55.6%
Common 5031
43.6%
Latin 96
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 445
 
6.9%
시 405
 
6.3%
로 405
 
6.3%
부 402
 
6.3%
남 399
 
6.2%
산 395
 
6.2%
광 389
 
6.1%
역 387
 
6.0%
구 387
 
6.0%
호 285
 
4.4%
Other values (172) 2520
39.3%
Latin
ValueCountFrequency (%)
A 10
 
10.4%
I 8
 
8.3%
S 8
 
8.3%
V 7
 
7.3%
l 6
 
6.2%
G 6
 
6.2%
L 6
 
6.2%
K 6
 
6.2%
B 5
 
5.2%
E 4
 
4.2%
Other values (13) 30
31.2%
Common
ValueCountFrequency (%)
2053
40.8%
) 394
 
7.8%
( 393
 
7.8%
, 370
 
7.4%
1 348
 
6.9%
2 321
 
6.4%
3 235
 
4.7%
0 219
 
4.4%
4 171
 
3.4%
5 136
 
2.7%
Other values (7) 391
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6419
55.6%
ASCII 5127
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2053
40.0%
) 394
 
7.7%
( 393
 
7.7%
, 370
 
7.2%
1 348
 
6.8%
2 321
 
6.3%
3 235
 
4.6%
0 219
 
4.3%
4 171
 
3.3%
5 136
 
2.7%
Other values (30) 487
 
9.5%
Hangul
ValueCountFrequency (%)
동 445
 
6.9%
시 405
 
6.3%
로 405
 
6.3%
부 402
 
6.3%
남 399
 
6.2%
산 395
 
6.2%
광 389
 
6.1%
역 387
 
6.0%
구 387
 
6.0%
호 285
 
4.4%
Other values (172) 2520
39.3%

의료기관전화번호
Text

Distinct385
Distinct (%)99.7%
Missing1
Missing (%)0.3%
Memory size3.2 KiB
2023-12-11T01:53:04.320757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.992228
Min length9

Characters and Unicode

Total characters4629
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

Unique384 ?
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%
051-717-7045 1
 
0.3%
051-621-2080 1
 
0.3%
051-622-2875 1
 
0.3%
051-929-2875 1
 
0.3%
051-612-1928 1
 
0.3%
051-622-7575 1
 
0.3%
051-637-3080 1
 
0.3%
051-626-2872 1
 
0.3%
051-628-8020 1
 
0.3%
Other values (375) 375
97.2%
2023-12-11T01:53:04.629071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 771
16.7%
1 681
14.7%
0 624
13.5%
5 623
13.5%
6 461
10.0%
2 429
9.3%
7 330
7.1%
8 226
 
4.9%
3 217
 
4.7%
4 147
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3858
83.3%
Dash Punctuation 771
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 681
17.7%
0 624
16.2%
5 623
16.1%
6 461
11.9%
2 429
11.1%
7 330
8.6%
8 226
 
5.9%
3 217
 
5.6%
4 147
 
3.8%
9 120
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 771
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4629
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 771
16.7%
1 681
14.7%
0 624
13.5%
5 623
13.5%
6 461
10.0%
2 429
9.3%
7 330
7.1%
8 226
 
4.9%
3 217
 
4.7%
4 147
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4629
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 771
16.7%
1 681
14.7%
0 624
13.5%
5 623
13.5%
6 461
10.0%
2 429
9.3%
7 330
7.1%
8 226
 
4.9%
3 217
 
4.7%
4 147
 
3.2%

Missing values

2023-12-11T01:53:02.500722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:53:02.574528image/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
377한의원국전경희한의원부산광역시 남구 용호로178번길 3 (용호동)051-626-1215
378한의원감만소생 한의원부산광역시 남구 우암로 58-1 (감만동)051-636-3160
379한의원대영한의원부산광역시 남구 못골로 18, 2층 (대연동)051-646-6060
380한의원오복 한의원부산광역시 남구 수영로 203, 대연 메디칼센터 2층 (대연동)051-622-4181
381한의원김종환한의원부산광역시 남구 동명로 137 (용호동)051-626-5880
382한의원정상신한의원부산광역시 남구 홍곡로 14 (감만동)051-631-0210
383한의원동천 한의원부산광역시 남구 용호로 100 (용호동)051-611-2080
384한의원혜인 한의원부산광역시 남구 수영로 256 (대연동)051-628-5213
385한의원덕산 한의원부산광역시 남구 천제등로 24 (대연동)051-647-0007
386한의원인일한의원부산광역시 남구 용호로 203 (용호동)051-623-6938