Overview

Dataset statistics

Number of variables4
Number of observations5261
Missing cells4168
Missing cells (%)19.8%
Duplicate rows12
Duplicate rows (%)0.2%
Total size in memory164.5 KiB
Average record size in memory32.0 B

Variable types

Text4

Dataset

Description부산광역시남구_통신판매업현황_20220517
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15022679

Alerts

Dataset has 12 (0.2%) duplicate rowsDuplicates
취급품목세부사항 has 4133 (78.6%) missing valuesMissing

Reproduction

Analysis started2023-12-10 16:55:26.961553
Analysis finished2023-12-10 16:55:29.163103
Duration2.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

법인또는상호
Text

Distinct5178
Distinct (%)98.5%
Missing3
Missing (%)0.1%
Memory size41.2 KiB
2023-12-11T01:55:29.621963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length6.7017878
Min length1

Characters and Unicode

Total characters35238
Distinct characters979
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5105 ?
Unique (%)97.1%

Sample

1st row부영식품
2nd row이래
3rd row비코우스
4th row잔다
5th row스타직구
ValueCountFrequency (%)
주식회사 278
 
4.3%
주 22
 
0.3%
컴퍼니 15
 
0.2%
company 15
 
0.2%
더 13
 
0.2%
co 11
 
0.2%
코리아 9
 
0.1%
앤 9
 
0.1%
스튜디오 9
 
0.1%
ltd 8
 
0.1%
Other values (5795) 6147
94.0%
2023-12-11T01:55:30.408088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1292
 
3.7%
이 1155
 
3.3%
( 1035
 
2.9%
) 1034
 
2.9%
스 993
 
2.8%
리 632
 
1.8%
주 539
 
1.5%
사 496
 
1.4%
e 458
 
1.3%
o 416
 
1.2%
Other values (969) 27188
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24709
70.1%
Lowercase Letter 3900
 
11.1%
Uppercase Letter 2860
 
8.1%
Space Separator 1292
 
3.7%
Open Punctuation 1038
 
2.9%
Close Punctuation 1037
 
2.9%
Decimal Number 213
 
0.6%
Other Punctuation 148
 
0.4%
Other Symbol 19
 
0.1%
Connector Punctuation 16
 
< 0.1%
Other values (3) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1155
 
4.7%
스 993
 
4.0%
리 632
 
2.6%
주 539
 
2.2%
사 496
 
2.0%
아 407
 
1.6%
라 343
 
1.4%
식 337
 
1.4%
회 337
 
1.4%
에 337
 
1.4%
Other values (886) 19133
77.4%
Lowercase Letter
ValueCountFrequency (%)
e 458
11.7%
o 416
 
10.7%
a 327
 
8.4%
i 300
 
7.7%
n 273
 
7.0%
l 238
 
6.1%
r 236
 
6.1%
t 210
 
5.4%
s 184
 
4.7%
m 149
 
3.8%
Other values (16) 1109
28.4%
Uppercase Letter
ValueCountFrequency (%)
O 226
 
7.9%
A 219
 
7.7%
S 202
 
7.1%
E 191
 
6.7%
N 166
 
5.8%
C 150
 
5.2%
M 142
 
5.0%
L 136
 
4.8%
R 134
 
4.7%
T 128
 
4.5%
Other values (16) 1166
40.8%
Other Punctuation
ValueCountFrequency (%)
. 80
54.1%
& 41
27.7%
' 14
 
9.5%
# 5
 
3.4%
: 2
 
1.4%
/ 2
 
1.4%
′ 1
 
0.7%
@ 1
 
0.7%
; 1
 
0.7%
· 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 52
24.4%
2 35
16.4%
0 26
12.2%
4 23
10.8%
5 18
 
8.5%
3 18
 
8.5%
7 13
 
6.1%
9 12
 
5.6%
8 11
 
5.2%
6 5
 
2.3%
Open Punctuation
ValueCountFrequency (%)
( 1035
99.7%
[ 3
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1034
99.7%
] 3
 
0.3%
Modifier Symbol
ValueCountFrequency (%)
^ 2
66.7%
˚ 1
33.3%
Space Separator
ValueCountFrequency (%)
1292
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24710
70.1%
Latin 6760
 
19.2%
Common 3750
 
10.6%
Han 18
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1155
 
4.7%
스 993
 
4.0%
리 632
 
2.6%
주 539
 
2.2%
사 496
 
2.0%
아 407
 
1.6%
라 343
 
1.4%
식 337
 
1.4%
회 337
 
1.4%
에 337
 
1.4%
Other values (870) 19134
77.4%
Latin
ValueCountFrequency (%)
e 458
 
6.8%
o 416
 
6.2%
a 327
 
4.8%
i 300
 
4.4%
n 273
 
4.0%
l 238
 
3.5%
r 236
 
3.5%
O 226
 
3.3%
A 219
 
3.2%
t 210
 
3.1%
Other values (42) 3857
57.1%
Common
ValueCountFrequency (%)
1292
34.5%
( 1035
27.6%
) 1034
27.6%
. 80
 
2.1%
1 52
 
1.4%
& 41
 
1.1%
2 35
 
0.9%
0 26
 
0.7%
4 23
 
0.6%
5 18
 
0.5%
Other values (20) 114
 
3.0%
Han
ValueCountFrequency (%)
花 2
 
11.1%
署 1
 
5.6%
晛 1
 
5.6%
美 1
 
5.6%
親 1
 
5.6%
創 1
 
5.6%
考 1
 
5.6%
黃 1
 
5.6%
金 1
 
5.6%
貿 1
 
5.6%
Other values (7) 7
38.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24691
70.1%
ASCII 10506
29.8%
None 20
 
0.1%
CJK 17
 
< 0.1%
Punctuation 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1292
 
12.3%
( 1035
 
9.9%
) 1034
 
9.8%
e 458
 
4.4%
o 416
 
4.0%
a 327
 
3.1%
i 300
 
2.9%
n 273
 
2.6%
l 238
 
2.3%
r 236
 
2.2%
Other values (68) 4897
46.6%
Hangul
ValueCountFrequency (%)
이 1155
 
4.7%
스 993
 
4.0%
리 632
 
2.6%
주 539
 
2.2%
사 496
 
2.0%
아 407
 
1.6%
라 343
 
1.4%
식 337
 
1.4%
회 337
 
1.4%
에 337
 
1.4%
Other values (869) 19115
77.4%
None
ValueCountFrequency (%)
㈜ 19
95.0%
· 1
 
5.0%
CJK
ValueCountFrequency (%)
花 2
 
11.8%
署 1
 
5.9%
晛 1
 
5.9%
美 1
 
5.9%
親 1
 
5.9%
創 1
 
5.9%
考 1
 
5.9%
黃 1
 
5.9%
貿 1
 
5.9%
易 1
 
5.9%
Other values (6) 6
35.3%
Punctuation
ValueCountFrequency (%)
′ 1
50.0%
’ 1
50.0%
CJK Compat Ideographs
ValueCountFrequency (%)
金 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

소재지주소
Text

Distinct4971
Distinct (%)94.6%
Missing5
Missing (%)0.1%
Memory size41.2 KiB
2023-12-11T01:55:30.750586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length52
Mean length36.8164
Min length3

Characters and Unicode

Total characters193507
Distinct characters468
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4729 ?
Unique (%)90.0%

Sample

1st row부산광역시 남구 동명로152번길 121， 1층 (용호동)
2nd row부산광역시 남구 석포로 21， 304호 (감만동)
3rd row부산광역시 남구 유엔평화로3번길 36， 대일빌딩 502호 (대연동)
4th row부산광역시 남구 전포대로 133， 12층 (문현동)
5th row부산광역시 남구 전포대로92번길 262(문현동)
ValueCountFrequency (%)
부산광역시 5253
 
14.2%
남구 5249
 
14.2%
대연동 1167
 
3.2%
대연동， 1041
 
2.8%
용호동， 761
 
2.1%
수영로 703
 
1.9%
문현동 595
 
1.6%
1층 397
 
1.1%
문현동， 348
 
0.9%
분포로 318
 
0.9%
Other values (3517) 21063
57.1%
2023-12-11T01:55:31.390521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31677
 
16.4%
1 9526
 
4.9%
동 8078
 
4.2%
， 7111
 
3.7%
시 5745
 
3.0%
2 5638
 
2.9%
남 5574
 
2.9%
로 5519
 
2.9%
부 5493
 
2.8%
0 5466
 
2.8%
Other values (458) 103680
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105897
54.7%
Decimal Number 37441
 
19.3%
Space Separator 31677
 
16.4%
Other Punctuation 7117
 
3.7%
Open Punctuation 5258
 
2.7%
Close Punctuation 5258
 
2.7%
Uppercase Letter 654
 
0.3%
Lowercase Letter 189
 
0.1%
Math Symbol 8
 
< 0.1%
Letter Number 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8078
 
7.6%
시 5745
 
5.4%
남 5574
 
5.3%
로 5519
 
5.2%
부 5493
 
5.2%
산 5465
 
5.2%
광 5315
 
5.0%
구 5288
 
5.0%
역 5259
 
5.0%
호 4946
 
4.7%
Other values (399) 49215
46.5%
Uppercase Letter
ValueCountFrequency (%)
B 104
15.9%
G 79
12.1%
A 72
11.0%
S 64
9.8%
I 52
8.0%
L 52
8.0%
E 31
 
4.7%
W 30
 
4.6%
K 30
 
4.6%
H 29
 
4.4%
Other values (14) 111
17.0%
Lowercase Letter
ValueCountFrequency (%)
l 43
22.8%
e 29
15.3%
i 29
15.3%
s 20
10.6%
n 15
 
7.9%
a 13
 
6.9%
t 11
 
5.8%
o 7
 
3.7%
r 7
 
3.7%
c 5
 
2.6%
Other values (5) 10
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 9526
25.4%
2 5638
15.1%
0 5466
14.6%
3 4354
11.6%
4 2721
 
7.3%
5 2697
 
7.2%
6 2213
 
5.9%
9 1815
 
4.8%
8 1527
 
4.1%
7 1484
 
4.0%
Other Punctuation
ValueCountFrequency (%)
， 7111
99.9%
. 4
 
0.1%
/ 1
 
< 0.1%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 4
50.0%
Ⅱ 4
50.0%
Space Separator
ValueCountFrequency (%)
31677
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5258
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5258
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105897
54.7%
Common 86759
44.8%
Latin 851
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8078
 
7.6%
시 5745
 
5.4%
남 5574
 
5.3%
로 5519
 
5.2%
부 5493
 
5.2%
산 5465
 
5.2%
광 5315
 
5.0%
구 5288
 
5.0%
역 5259
 
5.0%
호 4946
 
4.7%
Other values (399) 49215
46.5%
Latin
ValueCountFrequency (%)
B 104
 
12.2%
G 79
 
9.3%
A 72
 
8.5%
S 64
 
7.5%
I 52
 
6.1%
L 52
 
6.1%
l 43
 
5.1%
E 31
 
3.6%
W 30
 
3.5%
K 30
 
3.5%
Other values (31) 294
34.5%
Common
ValueCountFrequency (%)
31677
36.5%
1 9526
 
11.0%
， 7111
 
8.2%
2 5638
 
6.5%
0 5466
 
6.3%
( 5258
 
6.1%
) 5258
 
6.1%
3 4354
 
5.0%
4 2721
 
3.1%
5 2697
 
3.1%
Other values (8) 7053
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105897
54.7%
ASCII 80491
41.6%
None 7111
 
3.7%
Number Forms 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31677
39.4%
1 9526
 
11.8%
2 5638
 
7.0%
0 5466
 
6.8%
( 5258
 
6.5%
) 5258
 
6.5%
3 4354
 
5.4%
4 2721
 
3.4%
5 2697
 
3.4%
6 2213
 
2.7%
Other values (46) 5683
 
7.1%
Hangul
ValueCountFrequency (%)
동 8078
 
7.6%
시 5745
 
5.4%
남 5574
 
5.3%
로 5519
 
5.2%
부 5493
 
5.2%
산 5465
 
5.2%
광 5315
 
5.0%
구 5288
 
5.0%
역 5259
 
5.0%
호 4946
 
4.7%
Other values (399) 49215
46.5%
None
ValueCountFrequency (%)
， 7111
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 4
50.0%
Ⅱ 4
50.0%

취급품목
Text

Distinct260
Distinct (%)5.0%
Missing27
Missing (%)0.5%
Memory size41.2 KiB
2023-12-11T01:55:31.751381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length84
Mean length8.9142147
Min length2

Characters and Unicode

Total characters46657
Distinct characters51
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)3.2%

Sample

1st row건강/식품
2nd row의류/패션/잡화/뷰티
3rd row종합몰
4th row종합몰
5th row의류/패션/잡화/뷰티
ValueCountFrequency (%)
의류/패션/잡화/뷰티 2337
34.6%
종합몰 1405
20.8%
기타 1089
16.1%
건강/식품 566
 
8.4%
교육/도서/완구/오락 281
 
4.2%
가구/수납용품 237
 
3.5%
컴퓨터/사무용품 227
 
3.4%
레져/여행/공연 196
 
2.9%
가전 195
 
2.9%
자동차/자동차용품 154
 
2.3%
Other values (3) 64
 
0.9%
2023-12-11T01:55:32.326573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 9457
20.3%
의 2337
 
5.0%
류 2337
 
5.0%
패 2337
 
5.0%
션 2337
 
5.0%
잡 2337
 
5.0%
화 2337
 
5.0%
뷰 2337
 
5.0%
티 2337
 
5.0%
1517
 
3.3%
Other values (41) 16987
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35683
76.5%
Other Punctuation 9457
 
20.3%
Space Separator 1517
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 2337
 
6.5%
류 2337
 
6.5%
패 2337
 
6.5%
션 2337
 
6.5%
잡 2337
 
6.5%
화 2337
 
6.5%
뷰 2337
 
6.5%
티 2337
 
6.5%
합 1405
 
3.9%
몰 1405
 
3.9%
Other values (39) 14177
39.7%
Other Punctuation
ValueCountFrequency (%)
/ 9457
100.0%
Space Separator
ValueCountFrequency (%)
1517
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35683
76.5%
Common 10974
 
23.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 2337
 
6.5%
류 2337
 
6.5%
패 2337
 
6.5%
션 2337
 
6.5%
잡 2337
 
6.5%
화 2337
 
6.5%
뷰 2337
 
6.5%
티 2337
 
6.5%
합 1405
 
3.9%
몰 1405
 
3.9%
Other values (39) 14177
39.7%
Common
ValueCountFrequency (%)
/ 9457
86.2%
1517
 
13.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35683
76.5%
ASCII 10974
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 9457
86.2%
1517
 
13.8%
Hangul
ValueCountFrequency (%)
의 2337
 
6.5%
류 2337
 
6.5%
패 2337
 
6.5%
션 2337
 
6.5%
잡 2337
 
6.5%
화 2337
 
6.5%
뷰 2337
 
6.5%
티 2337
 
6.5%
합 1405
 
3.9%
몰 1405
 
3.9%
Other values (39) 14177
39.7%

취급품목세부사항
Text

MISSING 

Distinct764
Distinct (%)67.7%
Missing4133
Missing (%)78.6%
Memory size41.2 KiB
2023-12-11T01:55:32.925527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length36
Mean length6.1799645
Min length1

Characters and Unicode

Total characters6971
Distinct characters472
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

Unique655 ?
Unique (%)58.1%

Sample

1st row생활용품
2nd row탄창보호덮개
3rd row체험단 등록비등
4th row가상전시공간 제작/제공
5th row컨헨츠
ValueCountFrequency (%)
및 40
 
2.4%
휴대폰 32
 
1.9%
화장품 30
 
1.8%
등 27
 
1.6%
의류/패션/잡화/뷰티 24
 
1.4%
캔들 23
 
1.4%
생활용품 23
 
1.4%
기타 23
 
1.4%
생화 19
 
1.1%
애견용품 17
 
1.0%
Other values (858) 1422
84.6%
2023-12-11T01:55:33.878295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
752
 
10.8%
품 339
 
4.9%
용 217
 
3.1%
기 138
 
2.0%
/ 123
 
1.8%
화 114
 
1.6%
자 101
 
1.4%
스 100
 
1.4%
이 94
 
1.3%
제 91
 
1.3%
Other values (462) 4902
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5820
83.5%
Space Separator 752
 
10.8%
Other Punctuation 142
 
2.0%
Decimal Number 80
 
1.1%
Open Punctuation 47
 
0.7%
Close Punctuation 47
 
0.7%
Lowercase Letter 47
 
0.7%
Uppercase Letter 35
 
0.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 339
 
5.8%
용 217
 
3.7%
기 138
 
2.4%
화 114
 
2.0%
자 101
 
1.7%
스 100
 
1.7%
이 94
 
1.6%
제 91
 
1.6%
물 88
 
1.5%
인 83
 
1.4%
Other values (415) 4455
76.5%
Uppercase Letter
ValueCountFrequency (%)
D 6
17.1%
E 4
11.4%
L 4
11.4%
T 3
8.6%
P 3
8.6%
C 3
8.6%
B 2
 
5.7%
R 2
 
5.7%
S 2
 
5.7%
V 1
 
2.9%
Other values (5) 5
14.3%
Lowercase Letter
ValueCountFrequency (%)
c 12
25.5%
t 7
14.9%
v 6
12.8%
d 4
 
8.5%
s 4
 
8.5%
l 3
 
6.4%
p 3
 
6.4%
e 2
 
4.3%
a 1
 
2.1%
k 1
 
2.1%
Other values (4) 4
 
8.5%
Decimal Number
ValueCountFrequency (%)
0 14
17.5%
1 13
16.2%
2 10
12.5%
3 10
12.5%
9 9
11.2%
4 8
10.0%
6 7
8.8%
8 4
 
5.0%
5 3
 
3.8%
7 2
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 123
86.6%
. 17
 
12.0%
: 1
 
0.7%
& 1
 
0.7%
Space Separator
ValueCountFrequency (%)
752
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5820
83.5%
Common 1069
 
15.3%
Latin 82
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 339
 
5.8%
용 217
 
3.7%
기 138
 
2.4%
화 114
 
2.0%
자 101
 
1.7%
스 100
 
1.7%
이 94
 
1.6%
제 91
 
1.6%
물 88
 
1.5%
인 83
 
1.4%
Other values (415) 4455
76.5%
Latin
ValueCountFrequency (%)
c 12
14.6%
t 7
 
8.5%
D 6
 
7.3%
v 6
 
7.3%
d 4
 
4.9%
s 4
 
4.9%
E 4
 
4.9%
L 4
 
4.9%
T 3
 
3.7%
P 3
 
3.7%
Other values (19) 29
35.4%
Common
ValueCountFrequency (%)
752
70.3%
/ 123
 
11.5%
( 47
 
4.4%
) 47
 
4.4%
. 17
 
1.6%
0 14
 
1.3%
1 13
 
1.2%
2 10
 
0.9%
3 10
 
0.9%
9 9
 
0.8%
Other values (8) 27
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5820
83.5%
ASCII 1151
 
16.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
752
65.3%
/ 123
 
10.7%
( 47
 
4.1%
) 47
 
4.1%
. 17
 
1.5%
0 14
 
1.2%
1 13
 
1.1%
c 12
 
1.0%
2 10
 
0.9%
3 10
 
0.9%
Other values (37) 106
 
9.2%
Hangul
ValueCountFrequency (%)
품 339
 
5.8%
용 217
 
3.7%
기 138
 
2.4%
화 114
 
2.0%
자 101
 
1.7%
스 100
 
1.7%
이 94
 
1.6%
제 91
 
1.6%
물 88
 
1.5%
인 83
 
1.4%
Other values (415) 4455
76.5%

Missing values

2023-12-11T01:55:28.707983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:55:28.862041image/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.
2023-12-11T01:55:29.040776image/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
0부영식품부산광역시 남구 동명로152번길 121， 1층 (용호동)건강/식품<NA>
1이래부산광역시 남구 석포로 21， 304호 (감만동)의류/패션/잡화/뷰티<NA>
2비코우스부산광역시 남구 유엔평화로3번길 36， 대일빌딩 502호 (대연동)종합몰<NA>
3잔다부산광역시 남구 전포대로 133， 12층 (문현동)종합몰<NA>
4스타직구부산광역시 남구 전포대로92번길 262(문현동)의류/패션/잡화/뷰티<NA>
5라이프에브리2부산광역시 남구 우암번영로14번길 241， 2층 (우암동)종합몰<NA>
6스즈람부산광역시 남구 수영로39번가길 27， 303호 (문현동， 송정빌)건강/식품<NA>
7미미1004부산광역시 남구 유엔로 1272， 대성아파트 504호 (대연동)종합몰<NA>
8파더랜드부산광역시 남구 신선로 490， 103동 1705호 (대연동， 삼성아파트)종합몰<NA>
9헬로우케이스부산광역시 남구 유엔로 246， 107동 1603호 (대연동， 대연자이)의류/패션/잡화/뷰티<NA>
법인또는상호소재지주소취급품목취급품목세부사항
5251에이치코스팜부산광역시 남구 고동골로78번길 4511 (문현동)<NA>의류/패션/잡화/뷰티
5252㈜에듀그룹부산광역시 남구 신선로 365， 517호 (용당동，부경대학교 기술사업단)교육/도서/완구/오락교육/도서/완구/오락
5253윈즈넷부산광역시 남구 동명로170번길 93， 3동 207호 (용호동， 동일아파트)기타 가전기타
5254준시스템부산광역시 남구 유엔로120번가길 31 (대연동)자동차/자동차용품자동차/자동차용품
5255키즈앤베이비부산광역시 남구 황령대로 504， 211호 (대연동，대연비치상가)의류/패션/잡화/뷰티의류/패션/잡화/뷰티
5256도서출판민족문화부산광역시 남구 유엔평화로10번길 57 (대연동)교육/도서/완구/오락교육/도서/완구/오락
5257(주)농협사료 부산바이오부산광역시 남구 우암로 337 (문현동)기타기타
5258㈜뷰텍부산광역시 남구 못골번영로49번길 2， 1층 (대연동)의류/패션/잡화/뷰티의류/패션/잡화/뷰티
5259㈜뷰케리부산광역시 남구 대연동 55번지의류/패션/잡화/뷰티의류/패션/잡화/뷰티
5260㈜애드뱅크부산광역시 남구 자성로 152， 2002호 (문현동， 한일오피스텔)기타기타

Duplicate rows

Most frequently occurring

법인또는상호소재지주소취급품목취급품목세부사항# duplicates
01103부산광역시 남구 수영로298번길 41 (대연동)의류/패션/잡화/뷰티<NA>2
1나비앙부산광역시 남구 진남로 210， 2층 (문현동)의류/패션/잡화/뷰티<NA>2
2뉴데이부산광역시 남구 수영로 345， 105동 2401호 (대연동， 대연힐스테이트푸르지오)종합몰<NA>2
3마누아부산광역시 남구 분포로 145， 스퀘어동 2층 2071호 (용호동， 더블유)의류/패션/잡화/뷰티<NA>2
4산야초발효과학원부산광역시 남구 황령대로319번가길 142， 상가동 지하층 101호 (대연동， 삼익그린타운)건강/식품<NA>2
5샵부산광역시 남구 고동골로59번길 2 (문현동)의류/패션/잡화/뷰티<NA>2
6에녹부산광역시 남구 동제당로 20， 가동 202호 (문현동， 대송주택)의류/패션/잡화/뷰티<NA>2
7재재샵부산광역시 남구 황령대로353번길 34 (대연동)의류/패션/잡화/뷰티<NA>2
8주식회사 아띠세라부산광역시 남구 유엔평화로 11010， 지하1층 (대연동)기타수공예품2
9카와이모모부산광역시 남구 고동골로78번길 23， 3동 8층 803호 (문현동， 한양아파트)의류/패션/잡화/뷰티<NA>2