Overview

Dataset statistics

Number of variables3
Number of observations348
Missing cells153
Missing cells (%)14.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.3 KiB
Average record size in memory24.4 B

Variable types

Text3

Dataset

Description부산광역시 연제구 즉석판매제조가공업소 현황 (업종명, 소재지, 전화번호)을 제공합니다. 즉석판매제조가공업은 식품제조 가공업 및 축산물가공업에서 제조 가공할 수있는 식품 , 수입식품판매업 영업자가 수입 판매한 식품을 영업자가 직접 소비자에게 판매하는 업종입니다. .
Author부산광역시 연제구
URLhttps://www.data.go.kr/data/15047914/fileData.do

Alerts

소재지전화 has 153 (44.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:03:09.234731
Analysis finished2023-12-12 16:03:09.763344
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct338
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-13T01:03:10.089305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length18
Mean length5.8448276
Min length2

Characters and Unicode

Total characters2034
Distinct characters387
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique329 ?
Unique (%)94.5%

Sample

1st row양산상회
2nd row함안상회
3rd row신흥상회
4th row벽산상회
5th row대명상회
ValueCountFrequency (%)
주식회사 4
 
0.9%
연산점 4
 
0.9%
반찬 3
 
0.7%
밀양방앗간 3
 
0.7%
홀세일클럽 2
 
0.5%
빅세일마트 2
 
0.5%
트레이더스 2
 
0.5%
더 2
 
0.5%
담꾹 2
 
0.5%
엄마손 2
 
0.5%
Other values (399) 409
94.0%
2023-12-13T01:03:10.625712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
 
4.3%
산 54
 
2.7%
떡 43
 
2.1%
연 36
 
1.8%
상 35
 
1.7%
방 34
 
1.7%
회 33
 
1.6%
점 33
 
1.6%
이 32
 
1.6%
주 31
 
1.5%
Other values (377) 1616
79.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1813
89.1%
Space Separator 87
 
4.3%
Lowercase Letter 38
 
1.9%
Open Punctuation 28
 
1.4%
Close Punctuation 28
 
1.4%
Uppercase Letter 23
 
1.1%
Decimal Number 9
 
0.4%
Other Punctuation 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 54
 
3.0%
떡 43
 
2.4%
연 36
 
2.0%
상 35
 
1.9%
방 34
 
1.9%
회 33
 
1.8%
점 33
 
1.8%
이 32
 
1.8%
주 31
 
1.7%
찬 28
 
1.5%
Other values (336) 1454
80.2%
Lowercase Letter
ValueCountFrequency (%)
o 7
18.4%
e 7
18.4%
r 4
10.5%
k 3
7.9%
a 3
7.9%
y 2
 
5.3%
t 2
 
5.3%
s 2
 
5.3%
f 2
 
5.3%
c 1
 
2.6%
Other values (5) 5
13.2%
Uppercase Letter
ValueCountFrequency (%)
O 5
21.7%
C 3
13.0%
E 2
 
8.7%
R 2
 
8.7%
B 2
 
8.7%
F 2
 
8.7%
Z 1
 
4.3%
H 1
 
4.3%
K 1
 
4.3%
T 1
 
4.3%
Other values (3) 3
13.0%
Decimal Number
ValueCountFrequency (%)
5 2
22.2%
1 2
22.2%
3 2
22.2%
0 1
11.1%
2 1
11.1%
8 1
11.1%
Other Punctuation
ValueCountFrequency (%)
& 3
37.5%
, 2
25.0%
! 2
25.0%
. 1
 
12.5%
Space Separator
ValueCountFrequency (%)
87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1812
89.1%
Common 160
 
7.9%
Latin 61
 
3.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 54
 
3.0%
떡 43
 
2.4%
연 36
 
2.0%
상 35
 
1.9%
방 34
 
1.9%
회 33
 
1.8%
점 33
 
1.8%
이 32
 
1.8%
주 31
 
1.7%
찬 28
 
1.5%
Other values (335) 1453
80.2%
Latin
ValueCountFrequency (%)
o 7
 
11.5%
e 7
 
11.5%
O 5
 
8.2%
r 4
 
6.6%
k 3
 
4.9%
C 3
 
4.9%
a 3
 
4.9%
E 2
 
3.3%
R 2
 
3.3%
y 2
 
3.3%
Other values (18) 23
37.7%
Common
ValueCountFrequency (%)
87
54.4%
( 28
 
17.5%
) 28
 
17.5%
& 3
 
1.9%
5 2
 
1.2%
, 2
 
1.2%
1 2
 
1.2%
! 2
 
1.2%
3 2
 
1.2%
0 1
 
0.6%
Other values (3) 3
 
1.9%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1812
89.1%
ASCII 221
 
10.9%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
39.4%
( 28
 
12.7%
) 28
 
12.7%
o 7
 
3.2%
e 7
 
3.2%
O 5
 
2.3%
r 4
 
1.8%
& 3
 
1.4%
k 3
 
1.4%
C 3
 
1.4%
Other values (31) 46
20.8%
Hangul
ValueCountFrequency (%)
산 54
 
3.0%
떡 43
 
2.4%
연 36
 
2.0%
상 35
 
1.9%
방 34
 
1.9%
회 33
 
1.8%
점 33
 
1.8%
이 32
 
1.8%
주 31
 
1.7%
찬 28
 
1.5%
Other values (335) 1453
80.2%
CJK
ValueCountFrequency (%)
愛 1
100.0%

소재지(도로명)
Text

Distinct319
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-13T01:03:10.948892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length51
Mean length30.988506
Min length9

Characters and Unicode

Total characters10784
Distinct characters190
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

Unique298 ?
Unique (%)85.6%

Sample

1st row부산광역시 연제구 월드컵대로19번길 8 (연산동)
2nd row부산광역시 연제구 거제천로87번길 15-7 (거제동)
3rd row부산광역시 연제구 거제천로 101-1 (거제동)
4th row부산광역시 연제구 월드컵대로3번길 16 (연산동,1층)
5th row부산광역시 연제구 월드컵대로 19 (연산동)
ValueCountFrequency (%)
부산광역시 345
 
16.2%
연제구 345
 
16.2%
연산동 264
 
12.4%
1층 135
 
6.4%
거제동 69
 
3.2%
2층 25
 
1.2%
일부호 22
 
1.0%
7 19
 
0.9%
연수로 14
 
0.7%
연동로8번길 13
 
0.6%
Other values (399) 873
41.1%
2023-12-13T01:03:11.454188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1777
 
16.5%
연 700
 
6.5%
산 639
 
5.9%
1 487
 
4.5%
제 481
 
4.5%
동 412
 
3.8%
시 385
 
3.6%
부 374
 
3.5%
역 352
 
3.3%
) 351
 
3.3%
Other values (180) 4826
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6385
59.2%
Space Separator 1777
 
16.5%
Decimal Number 1555
 
14.4%
Close Punctuation 351
 
3.3%
Open Punctuation 351
 
3.3%
Other Punctuation 264
 
2.4%
Uppercase Letter 64
 
0.6%
Dash Punctuation 29
 
0.3%
Math Symbol 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 700
 
11.0%
산 639
 
10.0%
제 481
 
7.5%
동 412
 
6.5%
시 385
 
6.0%
부 374
 
5.9%
역 352
 
5.5%
로 347
 
5.4%
광 346
 
5.4%
구 345
 
5.4%
Other values (148) 2004
31.4%
Uppercase Letter
ValueCountFrequency (%)
E 17
26.6%
A 6
 
9.4%
W 5
 
7.8%
V 4
 
6.2%
I 4
 
6.2%
K 4
 
6.2%
S 4
 
6.2%
B 4
 
6.2%
L 4
 
6.2%
C 4
 
6.2%
Other values (4) 8
12.5%
Decimal Number
ValueCountFrequency (%)
1 487
31.3%
2 216
13.9%
3 157
 
10.1%
4 125
 
8.0%
0 118
 
7.6%
8 102
 
6.6%
7 92
 
5.9%
6 88
 
5.7%
5 85
 
5.5%
9 85
 
5.5%
Math Symbol
ValueCountFrequency (%)
< 3
37.5%
> 3
37.5%
~ 2
25.0%
Space Separator
ValueCountFrequency (%)
1777
100.0%
Close Punctuation
ValueCountFrequency (%)
) 351
100.0%
Open Punctuation
ValueCountFrequency (%)
( 351
100.0%
Other Punctuation
ValueCountFrequency (%)
, 264
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6385
59.2%
Common 4335
40.2%
Latin 64
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 700
 
11.0%
산 639
 
10.0%
제 481
 
7.5%
동 412
 
6.5%
시 385
 
6.0%
부 374
 
5.9%
역 352
 
5.5%
로 347
 
5.4%
광 346
 
5.4%
구 345
 
5.4%
Other values (148) 2004
31.4%
Common
ValueCountFrequency (%)
1777
41.0%
1 487
 
11.2%
) 351
 
8.1%
( 351
 
8.1%
, 264
 
6.1%
2 216
 
5.0%
3 157
 
3.6%
4 125
 
2.9%
0 118
 
2.7%
8 102
 
2.4%
Other values (8) 387
 
8.9%
Latin
ValueCountFrequency (%)
E 17
26.6%
A 6
 
9.4%
W 5
 
7.8%
V 4
 
6.2%
I 4
 
6.2%
K 4
 
6.2%
S 4
 
6.2%
B 4
 
6.2%
L 4
 
6.2%
C 4
 
6.2%
Other values (4) 8
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6385
59.2%
ASCII 4399
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1777
40.4%
1 487
 
11.1%
) 351
 
8.0%
( 351
 
8.0%
, 264
 
6.0%
2 216
 
4.9%
3 157
 
3.6%
4 125
 
2.8%
0 118
 
2.7%
8 102
 
2.3%
Other values (22) 451
 
10.3%
Hangul
ValueCountFrequency (%)
연 700
 
11.0%
산 639
 
10.0%
제 481
 
7.5%
동 412
 
6.5%
시 385
 
6.0%
부 374
 
5.9%
역 352
 
5.5%
로 347
 
5.4%
광 346
 
5.4%
구 345
 
5.4%
Other values (148) 2004
31.4%

소재지전화
Text

MISSING 

Distinct191
Distinct (%)97.9%
Missing153
Missing (%)44.0%
Memory size2.8 KiB
2023-12-13T01:03:11.776515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.994872
Min length13

Characters and Unicode

Total characters2729
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique187 ?
Unique (%)95.9%

Sample

1st row051 -865 -5341
2nd row051 -861 -4621
3rd row051 -852 -9113
4th row051 -862 -0992
5th row 051- 503-0460
ValueCountFrequency (%)
051 181
36.2%
863 10
 
2.0%
868 9
 
1.8%
853 9
 
1.8%
867 8
 
1.6%
866 7
 
1.4%
862 7
 
1.4%
852 6
 
1.2%
865 5
 
1.0%
759 4
 
0.8%
Other values (230) 254
50.8%
2023-12-13T01:03:12.172856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 390
14.3%
387
14.2%
5 363
13.3%
0 345
12.6%
1 285
10.4%
8 241
8.8%
6 195
7.1%
7 138
 
5.1%
3 113
 
4.1%
2 110
 
4.0%
Other values (2) 162
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1952
71.5%
Dash Punctuation 390
 
14.3%
Space Separator 387
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 363
18.6%
0 345
17.7%
1 285
14.6%
8 241
12.3%
6 195
10.0%
7 138
 
7.1%
3 113
 
5.8%
2 110
 
5.6%
9 84
 
4.3%
4 78
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 390
100.0%
Space Separator
ValueCountFrequency (%)
387
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2729
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 390
14.3%
387
14.2%
5 363
13.3%
0 345
12.6%
1 285
10.4%
8 241
8.8%
6 195
7.1%
7 138
 
5.1%
3 113
 
4.1%
2 110
 
4.0%
Other values (2) 162
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2729
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 390
14.3%
387
14.2%
5 363
13.3%
0 345
12.6%
1 285
10.4%
8 241
8.8%
6 195
7.1%
7 138
 
5.1%
3 113
 
4.1%
2 110
 
4.0%
Other values (2) 162
5.9%

Missing values

2023-12-13T01:03:09.589257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:03:09.721980image/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

업소명소재지(도로명)소재지전화
0양산상회부산광역시 연제구 월드컵대로19번길 8 (연산동)<NA>
1함안상회부산광역시 연제구 거제천로87번길 15-7 (거제동)051 -865 -5341
2신흥상회부산광역시 연제구 거제천로 101-1 (거제동)051 -861 -4621
3벽산상회부산광역시 연제구 월드컵대로3번길 16 (연산동,1층)051 -852 -9113
4대명상회부산광역시 연제구 월드컵대로 19 (연산동)051 -862 -0992
5웰빙떡방앗간부산광역시 연제구 해맞이로 77 (거제동)051- 503-0460
6연산방앗간부산광역시 연제구 금련로 12 (연산동)051- 865-0639
7울산방앗간부산광역시 연제구 거제천로87번길 15-1 (거제동,지상1층)051- 865-1444
8밀양방앗간부산광역시 연제구 쌍미천로151번길 22 (연산동)051- 866-1366
9시민떡집부산광역시 연제구 월드컵대로3번길 10, 1층 102호 (연산동)051- 863-4520
업소명소재지(도로명)소재지전화
338(주)동원산업부산광역시 연제구 좌수영로 241, 트레이더스 연산점 (연산동)02 - 589-3218
339와가야부산광역시 연제구 반송로 68, B동 2층 일부호 (연산동)<NA>
340참살이유통부산광역시 연제구 종합운동장로 7, 홈플러스 아시아드점 (거제동)<NA>
341백남옥손만두부산광역시 연제구 연수로 89, 신세계연제점E마트 1층 일부호 (연산동)<NA>
342오에스푸드부산광역시 연제구 종합운동장로 7, 홈플러스 아시아드점 지하2층 (거제동)055 -292 -8770
343(주)마켓인부산광역시 연제구 연수로 89, 신세계연제점E마트 1층 일부호 (연산동)<NA>
344(주)마켓인부산광역시 연제구 좌수영로 241, 트레이더스 연산점 1층 (연산동)<NA>
345희소담부산광역시 연제구 거제천로230번길 61, 2층 일부호 (연산동)<NA>
346(주)동원산업부산광역시 연제구 좌수영로 241, 트레이더스 연산점 지하1층 일부호 (연산동)02 -589 -3750
347다오니부산광역시 연제구 과정로343번길 42, 해든마을오피스텔 1층 일부호 (연산동)<NA>