Overview

Dataset statistics

Number of variables3
Number of observations353
Missing cells188
Missing cells (%)17.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 KiB
Average record size in memory24.4 B

Variable types

Text3

Dataset

Description부산광역시남구_의료기기판매업소_20210908
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15051589

Alerts

영업소전화번호 has 188 (53.3%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:29:18.688284
Analysis finished2023-12-10 17:29:19.752423
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영업소명
Text

Distinct349
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T02:29:20.218612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length7.6515581
Min length2

Characters and Unicode

Total characters2701
Distinct characters353
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

Unique346 ?
Unique (%)98.0%

Sample

1st row하유커머스(HAYOU COMMERCE)
2nd row새로이 실버케어
3rd row케이헬스케어
4th row팍스메디칼
5th row편안한재가복지센터
ValueCountFrequency (%)
주식회사 19
 
4.0%
세븐일레븐 17
 
3.5%
이마트24 6
 
1.2%
메디칼 5
 
1.0%
gs25 5
 
1.0%
medical 4
 
0.8%
씨제이올리브영(주 4
 
0.8%
주)아성다이소 4
 
0.8%
대연점 3
 
0.6%
코리아 3
 
0.6%
Other values (395) 411
85.4%
2023-12-11T02:29:21.221563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128
 
4.7%
메 94
 
3.5%
이 88
 
3.3%
주 84
 
3.1%
디 83
 
3.1%
) 76
 
2.8%
( 74
 
2.7%
스 71
 
2.6%
점 51
 
1.9%
칼 45
 
1.7%
Other values (343) 1907
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2128
78.8%
Uppercase Letter 182
 
6.7%
Space Separator 128
 
4.7%
Close Punctuation 76
 
2.8%
Lowercase Letter 75
 
2.8%
Open Punctuation 74
 
2.7%
Decimal Number 31
 
1.1%
Other Punctuation 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
메 94
 
4.4%
이 88
 
4.1%
주 84
 
3.9%
디 83
 
3.9%
스 71
 
3.3%
점 51
 
2.4%
칼 45
 
2.1%
사 38
 
1.8%
븐 37
 
1.7%
대 37
 
1.7%
Other values (291) 1500
70.5%
Uppercase Letter
ValueCountFrequency (%)
S 26
14.3%
M 25
13.7%
E 14
 
7.7%
C 13
 
7.1%
B 10
 
5.5%
A 9
 
4.9%
G 9
 
4.9%
I 9
 
4.9%
T 9
 
4.9%
O 8
 
4.4%
Other values (12) 50
27.5%
Lowercase Letter
ValueCountFrequency (%)
e 12
16.0%
c 8
10.7%
i 7
9.3%
p 6
 
8.0%
a 5
 
6.7%
d 5
 
6.7%
s 4
 
5.3%
o 4
 
5.3%
h 4
 
5.3%
r 3
 
4.0%
Other values (9) 17
22.7%
Decimal Number
ValueCountFrequency (%)
2 15
48.4%
5 7
22.6%
4 7
22.6%
1 1
 
3.2%
3 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 3
42.9%
& 2
28.6%
, 2
28.6%
Space Separator
ValueCountFrequency (%)
128
100.0%
Close Punctuation
ValueCountFrequency (%)
) 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2128
78.8%
Common 316
 
11.7%
Latin 257
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
메 94
 
4.4%
이 88
 
4.1%
주 84
 
3.9%
디 83
 
3.9%
스 71
 
3.3%
점 51
 
2.4%
칼 45
 
2.1%
사 38
 
1.8%
븐 37
 
1.7%
대 37
 
1.7%
Other values (291) 1500
70.5%
Latin
ValueCountFrequency (%)
S 26
 
10.1%
M 25
 
9.7%
E 14
 
5.4%
C 13
 
5.1%
e 12
 
4.7%
B 10
 
3.9%
A 9
 
3.5%
G 9
 
3.5%
I 9
 
3.5%
T 9
 
3.5%
Other values (31) 121
47.1%
Common
ValueCountFrequency (%)
128
40.5%
) 76
24.1%
( 74
23.4%
2 15
 
4.7%
5 7
 
2.2%
4 7
 
2.2%
. 3
 
0.9%
& 2
 
0.6%
, 2
 
0.6%
1 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2128
78.8%
ASCII 573
 
21.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128
22.3%
) 76
13.3%
( 74
12.9%
S 26
 
4.5%
M 25
 
4.4%
2 15
 
2.6%
E 14
 
2.4%
C 13
 
2.3%
e 12
 
2.1%
B 10
 
1.7%
Other values (42) 180
31.4%
Hangul
ValueCountFrequency (%)
메 94
 
4.4%
이 88
 
4.1%
주 84
 
3.9%
디 83
 
3.9%
스 71
 
3.3%
점 51
 
2.4%
칼 45
 
2.1%
사 38
 
1.8%
븐 37
 
1.7%
대 37
 
1.7%
Other values (291) 1500
70.5%

영업소소재지(도로명)
Text

Distinct328
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-11T02:29:22.106785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length44
Mean length31.427762
Min length21

Characters and Unicode

Total characters11094
Distinct characters237
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

Unique306 ?
Unique (%)86.7%

Sample

1st row부산광역시 남구 수영로322번길 21, 영광빌딩 5층 (대연동)
2nd row부산광역시 남구 수영로 248, 메트로타워 15층 (대연동)
3rd row부산광역시 남구 수영로 54, 3층 303호 (문현동)
4th row부산광역시 남구 동명로 136, 2층 (용호동)
5th row부산광역시 남구 황령대로319번길 120, 2층 201호 (대연동, 장백장미타워)
ValueCountFrequency (%)
부산광역시 353
 
15.8%
남구 353
 
15.8%
대연동 176
 
7.9%
문현동 88
 
3.9%
수영로 82
 
3.7%
용호동 51
 
2.3%
1층 36
 
1.6%
2층 36
 
1.6%
312 20
 
0.9%
용당동 17
 
0.8%
Other values (509) 1018
45.7%
2023-12-11T02:29:23.314666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1878
 
16.9%
1 442
 
4.0%
동 428
 
3.9%
시 378
 
3.4%
산 370
 
3.3%
부 367
 
3.3%
남 365
 
3.3%
로 357
 
3.2%
광 356
 
3.2%
( 355
 
3.2%
Other values (227) 5798
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6320
57.0%
Space Separator 1878
 
16.9%
Decimal Number 1811
 
16.3%
Open Punctuation 355
 
3.2%
Close Punctuation 355
 
3.2%
Other Punctuation 308
 
2.8%
Dash Punctuation 50
 
0.5%
Uppercase Letter 14
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 428
 
6.8%
시 378
 
6.0%
산 370
 
5.9%
부 367
 
5.8%
남 365
 
5.8%
로 357
 
5.6%
광 356
 
5.6%
역 353
 
5.6%
구 353
 
5.6%
대 248
 
3.9%
Other values (201) 2745
43.4%
Decimal Number
ValueCountFrequency (%)
1 442
24.4%
2 325
17.9%
3 213
11.8%
0 162
 
8.9%
4 141
 
7.8%
5 134
 
7.4%
9 114
 
6.3%
6 99
 
5.5%
7 92
 
5.1%
8 89
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
21.4%
S 3
21.4%
D 2
14.3%
M 1
 
7.1%
E 1
 
7.1%
T 1
 
7.1%
A 1
 
7.1%
K 1
 
7.1%
C 1
 
7.1%
Space Separator
ValueCountFrequency (%)
1878
100.0%
Open Punctuation
ValueCountFrequency (%)
( 355
100.0%
Close Punctuation
ValueCountFrequency (%)
) 355
100.0%
Other Punctuation
ValueCountFrequency (%)
, 308
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6320
57.0%
Common 4759
42.9%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 428
 
6.8%
시 378
 
6.0%
산 370
 
5.9%
부 367
 
5.8%
남 365
 
5.8%
로 357
 
5.6%
광 356
 
5.6%
역 353
 
5.6%
구 353
 
5.6%
대 248
 
3.9%
Other values (201) 2745
43.4%
Common
ValueCountFrequency (%)
1878
39.5%
1 442
 
9.3%
( 355
 
7.5%
) 355
 
7.5%
2 325
 
6.8%
, 308
 
6.5%
3 213
 
4.5%
0 162
 
3.4%
4 141
 
3.0%
5 134
 
2.8%
Other values (6) 446
 
9.4%
Latin
ValueCountFrequency (%)
B 3
20.0%
S 3
20.0%
D 2
13.3%
M 1
 
6.7%
E 1
 
6.7%
T 1
 
6.7%
A 1
 
6.7%
K 1
 
6.7%
c 1
 
6.7%
C 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6320
57.0%
ASCII 4774
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1878
39.3%
1 442
 
9.3%
( 355
 
7.4%
) 355
 
7.4%
2 325
 
6.8%
, 308
 
6.5%
3 213
 
4.5%
0 162
 
3.4%
4 141
 
3.0%
5 134
 
2.8%
Other values (16) 461
 
9.7%
Hangul
ValueCountFrequency (%)
동 428
 
6.8%
시 378
 
6.0%
산 370
 
5.9%
부 367
 
5.8%
남 365
 
5.8%
로 357
 
5.6%
광 356
 
5.6%
역 353
 
5.6%
구 353
 
5.6%
대 248
 
3.9%
Other values (201) 2745
43.4%

영업소전화번호
Text

MISSING 

Distinct161
Distinct (%)97.6%
Missing188
Missing (%)53.3%
Memory size2.9 KiB
2023-12-11T02:29:24.004704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.012121
Min length9

Characters and Unicode

Total characters1982
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

Unique157 ?
Unique (%)95.2%

Sample

1st row051-626-2217
2nd row051-711-6412
3rd row051-645-2345
4th row051-622-5343
5th row070-4220-1181
ValueCountFrequency (%)
051-643-2603 2
 
1.2%
051-643-8225 2
 
1.2%
051-628-7071 2
 
1.2%
051-781-0980 2
 
1.2%
051-622-5545 1
 
0.6%
051-621-5253 1
 
0.6%
051-625-2389 1
 
0.6%
051-527-3338 1
 
0.6%
051-637-2889 1
 
0.6%
051-622-2275 1
 
0.6%
Other values (151) 151
91.5%
2023-12-11T02:29:24.953098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 323
16.3%
1 314
15.8%
0 272
13.7%
5 243
12.3%
6 200
10.1%
2 155
7.8%
3 119
 
6.0%
7 104
 
5.2%
4 94
 
4.7%
8 91
 
4.6%
Other values (3) 67
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1654
83.5%
Dash Punctuation 323
 
16.3%
Close Punctuation 3
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 314
19.0%
0 272
16.4%
5 243
14.7%
6 200
12.1%
2 155
9.4%
3 119
 
7.2%
7 104
 
6.3%
4 94
 
5.7%
8 91
 
5.5%
9 62
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1982
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 323
16.3%
1 314
15.8%
0 272
13.7%
5 243
12.3%
6 200
10.1%
2 155
7.8%
3 119
 
6.0%
7 104
 
5.2%
4 94
 
4.7%
8 91
 
4.6%
Other values (3) 67
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 323
16.3%
1 314
15.8%
0 272
13.7%
5 243
12.3%
6 200
10.1%
2 155
7.8%
3 119
 
6.0%
7 104
 
5.2%
4 94
 
4.7%
8 91
 
4.6%
Other values (3) 67
 
3.4%

Missing values

2023-12-11T02:29:19.454190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:29:19.667393image/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

영업소명영업소소재지(도로명)영업소전화번호
0하유커머스(HAYOU COMMERCE)부산광역시 남구 수영로322번길 21, 영광빌딩 5층 (대연동)<NA>
1새로이 실버케어부산광역시 남구 수영로 248, 메트로타워 15층 (대연동)<NA>
2케이헬스케어부산광역시 남구 수영로 54, 3층 303호 (문현동)<NA>
3팍스메디칼부산광역시 남구 동명로 136, 2층 (용호동)<NA>
4편안한재가복지센터부산광역시 남구 황령대로319번길 120, 2층 201호 (대연동, 장백장미타워)<NA>
5(주)에이케이텍부산광역시 남구 용호로269번길 90, 2층 201호 (용호동, 벽산화이트타워)<NA>
6엠마컴퍼니부산광역시 남구 용소로14번길 11-1 (대연동)<NA>
7덴탈엔부산광역시 남구 전포대로77번길 19, 제1동 6층 14호 (문현동, 골든벨류빌)<NA>
8GS25 대연평화로점부산광역시 남구 유엔평화로 26 (대연동)<NA>
9주식회사 엠크루부산광역시 남구 용소로13번길 30, 대명빌딩 5층 (대연동)<NA>
영업소명영업소소재지(도로명)영업소전화번호
343에스케이덴탈부산광역시 남구 문현로 56, 2층 (문현동, 재건넘치는교회)051)633-2305
344해피드림부산광역시 남구 수영로219번길 15 (대연동)051-626-5256
345바다메디칼부산광역시 남구 수영로366번길 34 (대연동)<NA>
346선우시스템부산광역시 남구 자성로 152 (문현동)051-636-6881
347비겐의료기부산광역시 남구 수영로39번길 23 (문현동)051-646-3070
348센투리메디칼부산광역시 남구 수영로 12, 208호 (문현동, 세종그랑시아아파트)051-442-2131
349모던의료기부산광역시 남구 신선로329번길 20, 1, 2층 (용당동, 영재어린이집)051-635-0985
350대원의료기부산광역시 남구 진남로 176-1 (문현동)051-642-8489
351(주) 이선메드부산광역시 남구 수영로 286, 지하1층 (대연동)051-627-8037
352영진치과재료상사부산광역시 남구 남동천로 18 (문현동)051-642-7940