Overview

Dataset statistics

Number of variables4
Number of observations4658
Missing cells26
Missing cells (%)0.1%
Duplicate rows11
Duplicate rows (%)0.2%
Total size in memory145.7 KiB
Average record size in memory32.0 B

Variable types

Text4

Dataset

Description부산광역시남구_통신판매업현황_20210513
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15022679

Alerts

Dataset has 11 (0.2%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-10 16:55:37.508716
Analysis finished2023-12-10 16:55:39.195662
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

법인또는상호
Text

Distinct4584
Distinct (%)98.4%
Missing1
Missing (%)< 0.1%
Memory size36.5 KiB
2023-12-11T01:55:39.586226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length127
Median length34
Mean length6.7062487
Min length1

Characters and Unicode

Total characters31231
Distinct characters951
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4516 ?
Unique (%)97.0%

Sample

1st row족발마켓
2nd row더블스윗
3rd row스튜디오 에스엔지
4th row주식회사 유이케미칼
5th row대학몰협동조합
ValueCountFrequency (%)
주식회사 227
 
3.9%
주 20
 
0.3%
컴퍼니 15
 
0.3%
company 13
 
0.2%
더 13
 
0.2%
앤 9
 
0.2%
스튜디오 8
 
0.1%
j 7
 
0.1%
co 7
 
0.1%
코리아 6
 
0.1%
Other values (5172) 5484
94.4%
2023-12-11T01:55:40.546380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1173
 
3.8%
이 1016
 
3.3%
( 916
 
2.9%
) 915
 
2.9%
스 866
 
2.8%
리 566
 
1.8%
주 463
 
1.5%
사 415
 
1.3%
e 411
 
1.3%
아 388
 
1.2%
Other values (941) 24102
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21839
69.9%
Lowercase Letter 3428
 
11.0%
Uppercase Letter 2523
 
8.1%
Space Separator 1173
 
3.8%
Open Punctuation 918
 
2.9%
Close Punctuation 917
 
2.9%
Decimal Number 215
 
0.7%
Other Punctuation 130
 
0.4%
Dash Punctuation 47
 
0.2%
Other Symbol 21
 
0.1%
Other values (4) 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1016
 
4.7%
스 866
 
4.0%
리 566
 
2.6%
주 463
 
2.1%
사 415
 
1.9%
아 388
 
1.8%
라 310
 
1.4%
에 296
 
1.4%
트 295
 
1.4%
니 293
 
1.3%
Other values (856) 16931
77.5%
Lowercase Letter
ValueCountFrequency (%)
e 411
12.0%
o 373
 
10.9%
a 284
 
8.3%
i 267
 
7.8%
n 229
 
6.7%
l 204
 
6.0%
r 203
 
5.9%
t 186
 
5.4%
s 163
 
4.8%
m 138
 
4.0%
Other values (16) 970
28.3%
Uppercase Letter
ValueCountFrequency (%)
O 210
 
8.3%
A 192
 
7.6%
S 183
 
7.3%
E 161
 
6.4%
N 145
 
5.7%
L 129
 
5.1%
C 126
 
5.0%
M 123
 
4.9%
R 117
 
4.6%
I 116
 
4.6%
Other values (16) 1021
40.5%
Other Punctuation
ValueCountFrequency (%)
. 70
53.8%
& 34
26.2%
' 10
 
7.7%
# 5
 
3.8%
: 4
 
3.1%
/ 3
 
2.3%
· 1
 
0.8%
@ 1
 
0.8%
′ 1
 
0.8%
; 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 55
25.6%
2 36
16.7%
0 28
13.0%
4 23
10.7%
5 17
 
7.9%
3 16
 
7.4%
9 14
 
6.5%
8 11
 
5.1%
7 9
 
4.2%
6 6
 
2.8%
Open Punctuation
ValueCountFrequency (%)
( 916
99.8%
[ 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 915
99.8%
] 2
 
0.2%
Other Symbol
ValueCountFrequency (%)
㈜ 20
95.2%
○ 1
 
4.8%
Modifier Symbol
ValueCountFrequency (%)
^ 2
66.7%
˚ 1
33.3%
Space Separator
ValueCountFrequency (%)
1173
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 14
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21845
69.9%
Latin 5951
 
19.1%
Common 3421
 
11.0%
Han 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1016
 
4.7%
스 866
 
4.0%
리 566
 
2.6%
주 463
 
2.1%
사 415
 
1.9%
아 388
 
1.8%
라 310
 
1.4%
에 296
 
1.4%
트 295
 
1.4%
니 293
 
1.3%
Other values (844) 16937
77.5%
Latin
ValueCountFrequency (%)
e 411
 
6.9%
o 373
 
6.3%
a 284
 
4.8%
i 267
 
4.5%
n 229
 
3.8%
O 210
 
3.5%
l 204
 
3.4%
r 203
 
3.4%
A 192
 
3.2%
t 186
 
3.1%
Other values (42) 3392
57.0%
Common
ValueCountFrequency (%)
1173
34.3%
( 916
26.8%
) 915
26.7%
. 70
 
2.0%
1 55
 
1.6%
- 47
 
1.4%
2 36
 
1.1%
& 34
 
1.0%
0 28
 
0.8%
4 23
 
0.7%
Other values (22) 124
 
3.6%
Han
ValueCountFrequency (%)
眞 2
14.3%
考 1
 
7.1%
創 1
 
7.1%
親 1
 
7.1%
作 1
 
7.1%
美 1
 
7.1%
署 1
 
7.1%
晛 1
 
7.1%
孝 1
 
7.1%
花 1
 
7.1%
Other values (3) 3
21.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21825
69.9%
ASCII 9367
30.0%
None 21
 
0.1%
CJK 14
 
< 0.1%
Punctuation 2
 
< 0.1%
Geometric Shapes 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1173
 
12.5%
( 916
 
9.8%
) 915
 
9.8%
e 411
 
4.4%
o 373
 
4.0%
a 284
 
3.0%
i 267
 
2.9%
n 229
 
2.4%
O 210
 
2.2%
l 204
 
2.2%
Other values (69) 4385
46.8%
Hangul
ValueCountFrequency (%)
이 1016
 
4.7%
스 866
 
4.0%
리 566
 
2.6%
주 463
 
2.1%
사 415
 
1.9%
아 388
 
1.8%
라 310
 
1.4%
에 296
 
1.4%
트 295
 
1.4%
니 293
 
1.3%
Other values (843) 16917
77.5%
None
ValueCountFrequency (%)
㈜ 20
95.2%
· 1
 
4.8%
CJK
ValueCountFrequency (%)
眞 2
14.3%
考 1
 
7.1%
創 1
 
7.1%
親 1
 
7.1%
作 1
 
7.1%
美 1
 
7.1%
署 1
 
7.1%
晛 1
 
7.1%
孝 1
 
7.1%
花 1
 
7.1%
Other values (3) 3
21.4%
Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
′ 1
50.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

소재지주소
Text

Distinct4441
Distinct (%)95.4%
Missing5
Missing (%)0.1%
Memory size36.5 KiB
2023-12-11T01:55:40.828870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length51
Mean length36.62089
Min length1

Characters and Unicode

Total characters170397
Distinct characters445
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4261 ?
Unique (%)91.6%

Sample

1st row부산광역시 남구 용호로42번길 34， 나동 상가1층 (용호동， 현광하이아트빌라)
2nd row부산광역시 남구 수영로322번길 45， 대연그린빌 101호 (대연동， 대연그린빌)
3rd row부산광역시 남구 용소로14번길 23， 5층 506호 (대연동)
4th row부산광역시 남구 신선로 365， 부경대학교용당캠퍼스 104-A호 (용당동)
5th row부산광역시 남구 용소로46번길 7， 남구청년창조발전소 고고씽 잡 3-1 (대연동)
ValueCountFrequency (%)
부산광역시 4649
 
14.4%
남구 4647
 
14.4%
대연동 1040
 
3.2%
대연동， 914
 
2.8%
용호동， 655
 
2.0%
수영로 631
 
2.0%
문현동 523
 
1.6%
1층 349
 
1.1%
문현동， 293
 
0.9%
분포로 273
 
0.8%
Other values (3356) 18311
56.7%
2023-12-11T01:55:41.345394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27669
 
16.2%
1 8332
 
4.9%
동 7095
 
4.2%
， 6172
 
3.6%
시 5081
 
3.0%
남 4938
 
2.9%
2 4908
 
2.9%
로 4880
 
2.9%
부 4871
 
2.9%
산 4843
 
2.8%
Other values (435) 91608
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 92912
54.5%
Decimal Number 32736
 
19.2%
Space Separator 27669
 
16.2%
Other Punctuation 6176
 
3.6%
Open Punctuation 4649
 
2.7%
Close Punctuation 4649
 
2.7%
Dash Punctuation 894
 
0.5%
Uppercase Letter 562
 
0.3%
Lowercase Letter 134
 
0.1%
Math Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7095
 
7.6%
시 5081
 
5.5%
남 4938
 
5.3%
로 4880
 
5.3%
부 4871
 
5.2%
산 4843
 
5.2%
광 4701
 
5.1%
구 4679
 
5.0%
역 4654
 
5.0%
호 4296
 
4.6%
Other values (378) 42874
46.1%
Uppercase Letter
ValueCountFrequency (%)
B 92
16.4%
G 76
13.5%
A 66
11.7%
S 56
10.0%
L 52
9.3%
I 41
7.3%
K 27
 
4.8%
H 24
 
4.3%
W 23
 
4.1%
E 22
 
3.9%
Other values (13) 83
14.8%
Lowercase Letter
ValueCountFrequency (%)
l 36
26.9%
e 24
17.9%
i 21
15.7%
s 18
13.4%
a 7
 
5.2%
n 6
 
4.5%
t 5
 
3.7%
o 4
 
3.0%
r 4
 
3.0%
b 3
 
2.2%
Other values (4) 6
 
4.5%
Decimal Number
ValueCountFrequency (%)
1 8332
25.5%
2 4908
15.0%
0 4717
14.4%
3 3814
11.7%
5 2355
 
7.2%
4 2352
 
7.2%
6 2009
 
6.1%
9 1607
 
4.9%
8 1347
 
4.1%
7 1295
 
4.0%
Other Punctuation
ValueCountFrequency (%)
， 6172
99.9%
& 2
 
< 0.1%
. 2
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 4
50.0%
Ⅱ 4
50.0%
Space Separator
ValueCountFrequency (%)
27669
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4649
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4649
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 894
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 92912
54.5%
Common 76781
45.1%
Latin 704
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7095
 
7.6%
시 5081
 
5.5%
남 4938
 
5.3%
로 4880
 
5.3%
부 4871
 
5.2%
산 4843
 
5.2%
광 4701
 
5.1%
구 4679
 
5.0%
역 4654
 
5.0%
호 4296
 
4.6%
Other values (378) 42874
46.1%
Latin
ValueCountFrequency (%)
B 92
13.1%
G 76
 
10.8%
A 66
 
9.4%
S 56
 
8.0%
L 52
 
7.4%
I 41
 
5.8%
l 36
 
5.1%
K 27
 
3.8%
e 24
 
3.4%
H 24
 
3.4%
Other values (29) 210
29.8%
Common
ValueCountFrequency (%)
27669
36.0%
1 8332
 
10.9%
， 6172
 
8.0%
2 4908
 
6.4%
0 4717
 
6.1%
( 4649
 
6.1%
) 4649
 
6.1%
3 3814
 
5.0%
5 2355
 
3.1%
4 2352
 
3.1%
Other values (8) 7164
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 92912
54.5%
ASCII 71305
41.8%
None 6172
 
3.6%
Number Forms 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27669
38.8%
1 8332
 
11.7%
2 4908
 
6.9%
0 4717
 
6.6%
( 4649
 
6.5%
) 4649
 
6.5%
3 3814
 
5.3%
5 2355
 
3.3%
4 2352
 
3.3%
6 2009
 
2.8%
Other values (44) 5851
 
8.2%
Hangul
ValueCountFrequency (%)
동 7095
 
7.6%
시 5081
 
5.5%
남 4938
 
5.3%
로 4880
 
5.3%
부 4871
 
5.2%
산 4843
 
5.2%
광 4701
 
5.1%
구 4679
 
5.0%
역 4654
 
5.0%
호 4296
 
4.6%
Other values (378) 42874
46.1%
None
ValueCountFrequency (%)
， 6172
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 4
50.0%
Ⅱ 4
50.0%

취급품목
Text

Distinct238
Distinct (%)5.1%
Missing9
Missing (%)0.2%
Memory size36.5 KiB
2023-12-11T01:55:41.543396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length84
Mean length8.9565498
Min length1

Characters and Unicode

Total characters41639
Distinct characters52
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique153 ?
Unique (%)3.3%

Sample

1st row건강/식품
2nd row건강/식품
3rd row종합몰
4th row의류/패션/잡화/뷰티
5th row종합몰
ValueCountFrequency (%)
의류/패션/잡화/뷰티 2144
36.0%
종합몰 1076
18.1%
기타 1017
17.1%
건강/식품 500
 
8.4%
교육/도서/완구/오락 253
 
4.3%
가구/수납용품 199
 
3.3%
컴퓨터/사무용품 195
 
3.3%
레져/여행/공연 177
 
3.0%
가전 177
 
3.0%
자동차/자동차용품 132
 
2.2%
Other values (4) 78
 
1.3%
2023-12-11T01:55:41.939484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 8597
20.6%
의 2144
 
5.1%
류 2144
 
5.1%
패 2144
 
5.1%
션 2144
 
5.1%
잡 2144
 
5.1%
화 2144
 
5.1%
뷰 2144
 
5.1%
티 2144
 
5.1%
1299
 
3.1%
Other values (42) 14591
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31724
76.2%
Other Punctuation 8597
 
20.6%
Space Separator 1299
 
3.1%
Dash Punctuation 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2144
 
6.8%
류 2144
 
6.8%
패 2144
 
6.8%
션 2144
 
6.8%
잡 2144
 
6.8%
화 2144
 
6.8%
뷰 2144
 
6.8%
티 2144
 
6.8%
품 1084
 
3.4%
몰 1076
 
3.4%
Other values (39) 12412
39.1%
Other Punctuation
ValueCountFrequency (%)
/ 8597
100.0%
Space Separator
ValueCountFrequency (%)
1299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31724
76.2%
Common 9915
 
23.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 2144
 
6.8%
류 2144
 
6.8%
패 2144
 
6.8%
션 2144
 
6.8%
잡 2144
 
6.8%
화 2144
 
6.8%
뷰 2144
 
6.8%
티 2144
 
6.8%
품 1084
 
3.4%
몰 1076
 
3.4%
Other values (39) 12412
39.1%
Common
ValueCountFrequency (%)
/ 8597
86.7%
1299
 
13.1%
- 19
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31724
76.2%
ASCII 9915
 
23.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 8597
86.7%
1299
 
13.1%
- 19
 
0.2%
Hangul
ValueCountFrequency (%)
의 2144
 
6.8%
류 2144
 
6.8%
패 2144
 
6.8%
션 2144
 
6.8%
잡 2144
 
6.8%
화 2144
 
6.8%
뷰 2144
 
6.8%
티 2144
 
6.8%
품 1084
 
3.4%
몰 1076
 
3.4%
Other values (39) 12412
39.1%

취급품목세부사항
Text

Distinct711
Distinct (%)15.3%
Missing11
Missing (%)0.2%
Memory size36.5 KiB
2023-12-11T01:55:42.209012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length1
Mean length2.1523564
Min length1

Characters and Unicode

Total characters10002
Distinct characters456
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

Unique601 ?
Unique (%)12.9%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-
ValueCountFrequency (%)
3592
69.9%
및 35
 
0.7%
화장품 27
 
0.5%
휴대폰 27
 
0.5%
등 26
 
0.5%
의류/패션/잡화/뷰티 24
 
0.5%
기타 23
 
0.4%
캔들 21
 
0.4%
생활용품 20
 
0.4%
애견용품 19
 
0.4%
Other values (803) 1325
 
25.8%
2023-12-11T01:55:42.722425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 3594
35.9%
678
 
6.8%
품 330
 
3.3%
용 209
 
2.1%
기 130
 
1.3%
/ 123
 
1.2%
화 103
 
1.0%
자 91
 
0.9%
이 87
 
0.9%
제 84
 
0.8%
Other values (446) 4573
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5379
53.8%
Dash Punctuation 3594
35.9%
Space Separator 678
 
6.8%
Other Punctuation 143
 
1.4%
Lowercase Letter 47
 
0.5%
Decimal Number 42
 
0.4%
Open Punctuation 41
 
0.4%
Close Punctuation 41
 
0.4%
Uppercase Letter 37
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 330
 
6.1%
용 209
 
3.9%
기 130
 
2.4%
화 103
 
1.9%
자 91
 
1.7%
이 87
 
1.6%
제 84
 
1.6%
스 84
 
1.6%
물 78
 
1.5%
인 77
 
1.4%
Other values (402) 4106
76.3%
Uppercase Letter
ValueCountFrequency (%)
D 7
18.9%
E 4
10.8%
L 4
10.8%
C 4
10.8%
P 3
8.1%
T 3
8.1%
S 2
 
5.4%
B 2
 
5.4%
R 2
 
5.4%
G 1
 
2.7%
Other values (5) 5
13.5%
Lowercase Letter
ValueCountFrequency (%)
c 14
29.8%
v 7
14.9%
t 7
14.9%
s 4
 
8.5%
d 4
 
8.5%
l 3
 
6.4%
e 2
 
4.3%
p 2
 
4.3%
a 1
 
2.1%
o 1
 
2.1%
Other values (2) 2
 
4.3%
Decimal Number
ValueCountFrequency (%)
3 8
19.0%
2 8
19.0%
1 7
16.7%
0 6
14.3%
4 5
11.9%
6 4
9.5%
8 2
 
4.8%
5 1
 
2.4%
9 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/ 123
86.0%
. 16
 
11.2%
, 3
 
2.1%
& 1
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 3594
100.0%
Space Separator
ValueCountFrequency (%)
678
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5379
53.8%
Common 4539
45.4%
Latin 84
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 330
 
6.1%
용 209
 
3.9%
기 130
 
2.4%
화 103
 
1.9%
자 91
 
1.7%
이 87
 
1.6%
제 84
 
1.6%
스 84
 
1.6%
물 78
 
1.5%
인 77
 
1.4%
Other values (402) 4106
76.3%
Latin
ValueCountFrequency (%)
c 14
16.7%
D 7
 
8.3%
v 7
 
8.3%
t 7
 
8.3%
s 4
 
4.8%
E 4
 
4.8%
L 4
 
4.8%
C 4
 
4.8%
d 4
 
4.8%
l 3
 
3.6%
Other values (17) 26
31.0%
Common
ValueCountFrequency (%)
- 3594
79.2%
678
 
14.9%
/ 123
 
2.7%
( 41
 
0.9%
) 41
 
0.9%
. 16
 
0.4%
3 8
 
0.2%
2 8
 
0.2%
1 7
 
0.2%
0 6
 
0.1%
Other values (7) 17
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5379
53.8%
ASCII 4623
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 3594
77.7%
678
 
14.7%
/ 123
 
2.7%
( 41
 
0.9%
) 41
 
0.9%
. 16
 
0.3%
c 14
 
0.3%
3 8
 
0.2%
2 8
 
0.2%
D 7
 
0.2%
Other values (34) 93
 
2.0%
Hangul
ValueCountFrequency (%)
품 330
 
6.1%
용 209
 
3.9%
기 130
 
2.4%
화 103
 
1.9%
자 91
 
1.7%
이 87
 
1.6%
제 84
 
1.6%
스 84
 
1.6%
물 78
 
1.5%
인 77
 
1.4%
Other values (402) 4106
76.3%

Missing values

2023-12-11T01:55:38.811004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:55:38.941048image/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.
2023-12-11T01:55:39.083410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

법인또는상호소재지주소취급품목취급품목세부사항
0족발마켓부산광역시 남구 용호로42번길 34， 나동 상가1층 (용호동， 현광하이아트빌라)건강/식품-
1더블스윗부산광역시 남구 수영로322번길 45， 대연그린빌 101호 (대연동， 대연그린빌)건강/식품-
2스튜디오 에스엔지부산광역시 남구 용소로14번길 23， 5층 506호 (대연동)종합몰-
3주식회사 유이케미칼부산광역시 남구 신선로 365， 부경대학교용당캠퍼스 104-A호 (용당동)의류/패션/잡화/뷰티-
4대학몰협동조합부산광역시 남구 용소로46번길 7， 남구청년창조발전소 고고씽 잡 3-1 (대연동)종합몰-
5카운무삥부산광역시 남구 유엔평화로106번길 8， 2동 302호 (대연동， 삼영빌라)종합몰-
6제이에스 (JUSTSOUL)부산광역시 남구 지게골로 52-15， 벽산한성기린아파트 1층 1003호 (문현동， 벽산한성기린아파트)의류/패션/잡화/뷰티-
7시크릿 페르소나부산광역시 남구 진남로220번길 3-7， 우정빌라 9차 403호 (문현동， 우정빌라 9차)의류/패션/잡화/뷰티-
8주식회사 효린건설부산광역시 남구 유엔로 102， 1층 (대연동)종합몰-
9로망즈부산광역시 남구 수영로 295， 1213호 (대연동)기타캔들 방향제 디퓨저
법인또는상호소재지주소취급품목취급품목세부사항
4648에이치코스팜부산광역시 남구 고동골로78번길 45-11 (문현동)-의류/패션/잡화/뷰티
4649㈜에듀그룹부산광역시 남구 신선로 365， 517호 (용당동，부경대학교 기술사업단)교육/도서/완구/오락교육/도서/완구/오락
4650윈즈넷부산광역시 남구 동명로170번길 93， 3동 207호 (용호동， 동일아파트)기타 가전기타
4651준시스템부산광역시 남구 유엔로120번가길 31 (대연동)자동차/자동차용품자동차/자동차용품
4652키즈앤베이비부산광역시 남구 황령대로 504， 211호 (대연동，대연비치상가)의류/패션/잡화/뷰티의류/패션/잡화/뷰티
4653도서출판민족문화부산광역시 남구 유엔평화로10번길 57 (대연동)교육/도서/완구/오락교육/도서/완구/오락
4654(주)농협사료 부산바이오부산광역시 남구 우암로 337 (문현동)기타기타
4655㈜뷰텍부산광역시 남구 못골번영로49번길 2， 1층 (대연동)의류/패션/잡화/뷰티의류/패션/잡화/뷰티
4656㈜뷰케리부산광역시 남구 대연동 55번지의류/패션/잡화/뷰티의류/패션/잡화/뷰티
4657㈜애드뱅크부산광역시 남구 자성로 152， 2002호 (문현동， 한일오피스텔)기타기타

Duplicate rows

Most frequently occurring

법인또는상호소재지주소취급품목취급품목세부사항# duplicates
01103부산광역시 남구 수영로298번길 41 (대연동)의류/패션/잡화/뷰티-2
1나비앙부산광역시 남구 진남로 210， 2층 (문현동)의류/패션/잡화/뷰티-2
2마누아부산광역시 남구 분포로 145， 스퀘어동 2층 2071호 (용호동， 더블유)의류/패션/잡화/뷰티-2
3산야초발효과학원부산광역시 남구 황령대로319번가길 142， 상가동 지하층 101호 (대연동， 삼익그린타운)건강/식품-2
4샵부산광역시 남구 고동골로59번길 2 (문현동)의류/패션/잡화/뷰티-2
5에녹부산광역시 남구 동제당로 20， 가동 202호 (문현동， 대송주택)의류/패션/잡화/뷰티-2
6재재샵부산광역시 남구 황령대로353번길 34 (대연동)의류/패션/잡화/뷰티-2
7주식회사 아띠세라부산광역시 남구 유엔평화로 110-10， 지하1층 (대연동)기타수공예품2
8카와이모모부산광역시 남구 고동골로78번길 23， 3동 8층 803호 (문현동， 한양아파트)의류/패션/잡화/뷰티-2
9쿨밤부산광역시 남구 동명로117번길 26， 301호 (용호동)종합몰-2