Overview

Dataset statistics

Number of variables7
Number of observations2541
Missing cells90
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory141.6 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Text3
Categorical2
DateTime1

Dataset

Description경상남도 거제시 통신판매업 현황(법인 또는 상호명, 운영상태, 법인구분, 우편번호, 주소, 도메인명, 기준일자)등에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15047551

Alerts

운영상태 has constant value ""Constant
기준일자 has constant value ""Constant
법인구분 is highly imbalanced (58.0%)Imbalance
도메인명 has 90 (3.5%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 01:01:45.161610
Analysis finished2023-12-11 01:01:46.271342
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2541
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1271
Minimum1
Maximum2541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.5 KiB
2023-12-11T10:01:46.353621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile128
Q1636
median1271
Q31906
95-th percentile2414
Maximum2541
Range2540
Interquartile range (IQR)1270

Descriptive statistics

Standard deviation733.66784
Coefficient of variation (CV)0.5772367
Kurtosis-1.2
Mean1271
Median Absolute Deviation (MAD)635
Skewness0
Sum3229611
Variance538268.5
MonotonicityStrictly increasing
2023-12-11T10:01:46.511587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1698 1
 
< 0.1%
1691 1
 
< 0.1%
1692 1
 
< 0.1%
1693 1
 
< 0.1%
1694 1
 
< 0.1%
1695 1
 
< 0.1%
1696 1
 
< 0.1%
1697 1
 
< 0.1%
1699 1
 
< 0.1%
Other values (2531) 2531
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2541 1
< 0.1%
2540 1
< 0.1%
2539 1
< 0.1%
2538 1
< 0.1%
2537 1
< 0.1%
2536 1
< 0.1%
2535 1
< 0.1%
2534 1
< 0.1%
2533 1
< 0.1%
2532 1
< 0.1%
Distinct2525
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
2023-12-11T10:01:46.826691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length6.6619441
Min length1

Characters and Unicode

Total characters16928
Distinct characters845
Distinct categories12 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2509 ?
Unique (%)98.7%

Sample

1st row헤라쇼핑
2nd row해성컴퍼니
3rd row제이제이에스하우스
4th row동환스토어
5th row구르몽
ValueCountFrequency (%)
주식회사 100
 
3.1%
거제 16
 
0.5%
농업회사법인 15
 
0.5%
거제점 13
 
0.4%
펜션 9
 
0.3%
8
 
0.2%
8
 
0.2%
인셀덤 7
 
0.2%
거제고현점 7
 
0.2%
마켓 6
 
0.2%
Other values (2886) 3011
94.1%
2023-12-11T10:01:47.382396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
674
 
4.0%
505
 
3.0%
397
 
2.3%
) 339
 
2.0%
( 338
 
2.0%
322
 
1.9%
254
 
1.5%
228
 
1.3%
220
 
1.3%
187
 
1.1%
Other values (835) 13464
79.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13185
77.9%
Lowercase Letter 1117
 
6.6%
Uppercase Letter 1027
 
6.1%
Space Separator 674
 
4.0%
Close Punctuation 339
 
2.0%
Open Punctuation 338
 
2.0%
Decimal Number 161
 
1.0%
Other Punctuation 60
 
0.4%
Dash Punctuation 13
 
0.1%
Connector Punctuation 9
 
0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
505
 
3.8%
397
 
3.0%
322
 
2.4%
254
 
1.9%
228
 
1.7%
220
 
1.7%
187
 
1.4%
182
 
1.4%
175
 
1.3%
171
 
1.3%
Other values (761) 10544
80.0%
Uppercase Letter
ValueCountFrequency (%)
A 91
 
8.9%
S 79
 
7.7%
O 75
 
7.3%
E 69
 
6.7%
B 59
 
5.7%
N 57
 
5.6%
M 56
 
5.5%
T 54
 
5.3%
L 54
 
5.3%
C 41
 
4.0%
Other values (16) 392
38.2%
Lowercase Letter
ValueCountFrequency (%)
e 135
12.1%
a 109
 
9.8%
o 109
 
9.8%
n 93
 
8.3%
l 81
 
7.3%
i 78
 
7.0%
t 63
 
5.6%
r 60
 
5.4%
m 55
 
4.9%
s 49
 
4.4%
Other values (14) 285
25.5%
Decimal Number
ValueCountFrequency (%)
2 35
21.7%
1 29
18.0%
0 24
14.9%
7 14
 
8.7%
5 12
 
7.5%
9 11
 
6.8%
3 10
 
6.2%
6 10
 
6.2%
4 9
 
5.6%
8 7
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 32
53.3%
& 19
31.7%
' 4
 
6.7%
: 2
 
3.3%
/ 2
 
3.3%
; 1
 
1.7%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
674
100.0%
Close Punctuation
ValueCountFrequency (%)
) 339
100.0%
Open Punctuation
ValueCountFrequency (%)
( 338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13185
77.9%
Latin 2144
 
12.7%
Common 1596
 
9.4%
Hiragana 2
 
< 0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
505
 
3.8%
397
 
3.0%
322
 
2.4%
254
 
1.9%
228
 
1.7%
220
 
1.7%
187
 
1.4%
182
 
1.4%
175
 
1.3%
171
 
1.3%
Other values (759) 10544
80.0%
Latin
ValueCountFrequency (%)
e 135
 
6.3%
a 109
 
5.1%
o 109
 
5.1%
n 93
 
4.3%
A 91
 
4.2%
l 81
 
3.8%
S 79
 
3.7%
i 78
 
3.6%
O 75
 
3.5%
E 69
 
3.2%
Other values (40) 1225
57.1%
Common
ValueCountFrequency (%)
674
42.2%
) 339
21.2%
( 338
21.2%
2 35
 
2.2%
. 32
 
2.0%
1 29
 
1.8%
0 24
 
1.5%
& 19
 
1.2%
7 14
 
0.9%
- 13
 
0.8%
Other values (13) 79
 
4.9%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13182
77.9%
ASCII 3740
 
22.1%
None 3
 
< 0.1%
Hiragana 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
674
 
18.0%
) 339
 
9.1%
( 338
 
9.0%
e 135
 
3.6%
a 109
 
2.9%
o 109
 
2.9%
n 93
 
2.5%
A 91
 
2.4%
l 81
 
2.2%
S 79
 
2.1%
Other values (63) 1692
45.2%
Hangul
ValueCountFrequency (%)
505
 
3.8%
397
 
3.0%
322
 
2.4%
254
 
1.9%
228
 
1.7%
220
 
1.7%
187
 
1.4%
182
 
1.4%
175
 
1.3%
171
 
1.3%
Other values (758) 10541
80.0%
None
ValueCountFrequency (%)
3
100.0%
CJK
ValueCountFrequency (%)
1
100.0%
Hiragana
ValueCountFrequency (%)
1
50.0%
1
50.0%

운영상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
정상영업
2541 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 2541
100.0%

Length

2023-12-11T10:01:47.572561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:01:47.676331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 2541
100.0%

법인구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
개인
2325 
법인
 
216

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 2325
91.5%
법인 216
 
8.5%

Length

2023-12-11T10:01:47.801172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:01:47.916667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 2325
91.5%
법인 216
 
8.5%
Distinct2436
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
2023-12-11T10:01:48.225029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length47
Mean length33.268398
Min length10

Characters and Unicode

Total characters84535
Distinct characters393
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2341 ?
Unique (%)92.1%

Sample

1st row경상남도 거제시 하청면 칠천로 1328
2nd row경상남도 거제시 아주로 73, 105동 1402호 (아주동, 석호해와루아파트)
3rd row경상남도 거제시 성산로 169, 205동 404호 (덕포동, 거제 옥포 도뮤토 2단지)
4th row경상남도 거제시 수양로 110, 207동 1604호 (양정동, 거제2차 IPARK)
5th row경상남도 거제시 문동1길 42, 113동 6층 2호 (문동동, 거제 센트럴 푸르지오)
ValueCountFrequency (%)
경상남도 2529
 
14.5%
거제시 2527
 
14.5%
1층 232
 
1.3%
일운면 215
 
1.2%
고현동 208
 
1.2%
사등면 176
 
1.0%
아주동, 168
 
1.0%
고현동, 155
 
0.9%
상동동, 150
 
0.9%
거제 146
 
0.8%
Other values (2415) 10908
62.6%
2023-12-11T10:01:48.694346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14877
 
17.6%
1 4376
 
5.2%
3390
 
4.0%
3354
 
4.0%
3304
 
3.9%
2986
 
3.5%
0 2702
 
3.2%
2686
 
3.2%
2594
 
3.1%
2574
 
3.0%
Other values (383) 41692
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46134
54.6%
Decimal Number 16314
 
19.3%
Space Separator 14877
 
17.6%
Other Punctuation 2577
 
3.0%
Close Punctuation 1731
 
2.0%
Open Punctuation 1731
 
2.0%
Dash Punctuation 792
 
0.9%
Uppercase Letter 243
 
0.3%
Lowercase Letter 127
 
0.2%
Math Symbol 6
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3390
 
7.3%
3354
 
7.3%
3304
 
7.2%
2986
 
6.5%
2686
 
5.8%
2594
 
5.6%
2574
 
5.6%
2568
 
5.6%
1785
 
3.9%
1351
 
2.9%
Other values (335) 19542
42.4%
Uppercase Letter
ValueCountFrequency (%)
K 46
18.9%
A 34
14.0%
C 33
13.6%
P 29
11.9%
R 27
11.1%
I 27
11.1%
B 23
9.5%
S 9
 
3.7%
D 4
 
1.6%
H 4
 
1.6%
Other values (5) 7
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 85
66.9%
l 15
 
11.8%
v 5
 
3.9%
i 5
 
3.9%
s 5
 
3.9%
y 4
 
3.1%
r 4
 
3.1%
c 1
 
0.8%
k 1
 
0.8%
o 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 4376
26.8%
0 2702
16.6%
2 2429
14.9%
3 1648
 
10.1%
5 1190
 
7.3%
4 1150
 
7.0%
7 828
 
5.1%
6 731
 
4.5%
9 659
 
4.0%
8 601
 
3.7%
Other Punctuation
ValueCountFrequency (%)
2570
99.7%
. 6
 
0.2%
& 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 1730
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1730
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
14877
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 792
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Letter Number
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46133
54.6%
Common 38028
45.0%
Latin 372
 
0.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3390
 
7.3%
3354
 
7.3%
3304
 
7.2%
2986
 
6.5%
2686
 
5.8%
2594
 
5.6%
2574
 
5.6%
2568
 
5.6%
1785
 
3.9%
1351
 
2.9%
Other values (335) 19541
42.4%
Latin
ValueCountFrequency (%)
e 85
22.8%
K 46
12.4%
A 34
 
9.1%
C 33
 
8.9%
P 29
 
7.8%
R 27
 
7.3%
I 27
 
7.3%
B 23
 
6.2%
l 15
 
4.0%
S 9
 
2.4%
Other values (17) 44
11.8%
Common
ValueCountFrequency (%)
14877
39.1%
1 4376
 
11.5%
0 2702
 
7.1%
2570
 
6.8%
2 2429
 
6.4%
) 1730
 
4.5%
( 1730
 
4.5%
3 1648
 
4.3%
5 1190
 
3.1%
4 1150
 
3.0%
Other values (10) 3626
 
9.5%
Han
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46132
54.6%
ASCII 35828
42.4%
None 2571
 
3.0%
Number Forms 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14877
41.5%
1 4376
 
12.2%
0 2702
 
7.5%
2 2429
 
6.8%
) 1730
 
4.8%
( 1730
 
4.8%
3 1648
 
4.6%
5 1190
 
3.3%
4 1150
 
3.2%
7 828
 
2.3%
Other values (35) 3168
 
8.8%
Hangul
ValueCountFrequency (%)
3390
 
7.3%
3354
 
7.3%
3304
 
7.2%
2986
 
6.5%
2686
 
5.8%
2594
 
5.6%
2574
 
5.6%
2568
 
5.6%
1785
 
3.9%
1351
 
2.9%
Other values (334) 19540
42.4%
None
ValueCountFrequency (%)
2570
> 99.9%
1
 
< 0.1%
Number Forms
ValueCountFrequency (%)
2
100.0%
CJK
ValueCountFrequency (%)
2
100.0%

도메인명
Text

MISSING 

Distinct1493
Distinct (%)60.9%
Missing90
Missing (%)3.5%
Memory size20.0 KiB
2023-12-11T10:01:48.890910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length42
Mean length19.863729
Min length2

Characters and Unicode

Total characters48686
Distinct characters283
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1429 ?
Unique (%)58.3%

Sample

1st rowhttps://buy.tosspayments.com/shops/mob_nhpNaRSXDa
2nd row네이버 스마트스토어
3rd rowhttps://buy.tosspayments.com/shops/mob_N3rDFge8Nu
4th row네이버 스마트스토어
5th rowhttps://smartstore.naver.com/gourm_home
ValueCountFrequency (%)
네이버 598
 
19.2%
스마트스토어 511
 
16.4%
쿠팡 180
 
5.8%
오픈마켓 58
 
1.9%
11번가 40
 
1.3%
옥션 37
 
1.2%
네이버스마트스토어 34
 
1.1%
지마켓 31
 
1.0%
g마켓 19
 
0.6%
위메프 16
 
0.5%
Other values (1461) 1590
51.1%
2023-12-11T10:01:49.286309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 3610
 
7.4%
o 3257
 
6.7%
. 2927
 
6.0%
r 2788
 
5.7%
/ 2750
 
5.6%
a 2584
 
5.3%
s 2582
 
5.3%
e 2542
 
5.2%
m 2291
 
4.7%
c 1592
 
3.3%
Other values (273) 21763
44.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 32862
67.5%
Other Letter 6994
 
14.4%
Other Punctuation 6617
 
13.6%
Decimal Number 908
 
1.9%
Space Separator 674
 
1.4%
Uppercase Letter 281
 
0.6%
Connector Punctuation 188
 
0.4%
Dash Punctuation 92
 
0.2%
Close Punctuation 35
 
0.1%
Open Punctuation 34
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1167
16.7%
682
9.8%
679
9.7%
656
9.4%
655
9.4%
569
8.1%
566
8.1%
557
8.0%
182
 
2.6%
182
 
2.6%
Other values (197) 1099
15.7%
Lowercase Letter
ValueCountFrequency (%)
t 3610
11.0%
o 3257
 
9.9%
r 2788
 
8.5%
a 2584
 
7.9%
s 2582
 
7.9%
e 2542
 
7.7%
m 2291
 
7.0%
c 1592
 
4.8%
n 1584
 
4.8%
p 1369
 
4.2%
Other values (16) 8663
26.4%
Uppercase Letter
ValueCountFrequency (%)
G 31
 
11.0%
T 19
 
6.8%
S 18
 
6.4%
D 15
 
5.3%
W 15
 
5.3%
A 14
 
5.0%
M 14
 
5.0%
R 13
 
4.6%
O 13
 
4.6%
C 13
 
4.6%
Other values (16) 116
41.3%
Decimal Number
ValueCountFrequency (%)
1 197
21.7%
0 133
14.6%
2 131
14.4%
4 84
9.3%
7 72
 
7.9%
5 70
 
7.7%
8 62
 
6.8%
3 58
 
6.4%
9 52
 
5.7%
6 49
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 2927
44.2%
/ 2750
41.6%
: 924
 
14.0%
; 6
 
0.1%
# 4
 
0.1%
@ 4
 
0.1%
" 1
 
< 0.1%
? 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
674
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 33143
68.1%
Common 8549
 
17.6%
Hangul 6994
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1167
16.7%
682
9.8%
679
9.7%
656
9.4%
655
9.4%
569
8.1%
566
8.1%
557
8.0%
182
 
2.6%
182
 
2.6%
Other values (197) 1099
15.7%
Latin
ValueCountFrequency (%)
t 3610
10.9%
o 3257
 
9.8%
r 2788
 
8.4%
a 2584
 
7.8%
s 2582
 
7.8%
e 2542
 
7.7%
m 2291
 
6.9%
c 1592
 
4.8%
n 1584
 
4.8%
p 1369
 
4.1%
Other values (42) 8944
27.0%
Common
ValueCountFrequency (%)
. 2927
34.2%
/ 2750
32.2%
: 924
 
10.8%
674
 
7.9%
1 197
 
2.3%
_ 188
 
2.2%
0 133
 
1.6%
2 131
 
1.5%
- 92
 
1.1%
4 84
 
1.0%
Other values (14) 449
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41692
85.6%
Hangul 6994
 
14.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 3610
 
8.7%
o 3257
 
7.8%
. 2927
 
7.0%
r 2788
 
6.7%
/ 2750
 
6.6%
a 2584
 
6.2%
s 2582
 
6.2%
e 2542
 
6.1%
m 2291
 
5.5%
c 1592
 
3.8%
Other values (66) 14769
35.4%
Hangul
ValueCountFrequency (%)
1167
16.7%
682
9.8%
679
9.7%
656
9.4%
655
9.4%
569
8.1%
566
8.1%
557
8.0%
182
 
2.6%
182
 
2.6%
Other values (197) 1099
15.7%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.0 KiB
Minimum2023-08-24 00:00:00
Maximum2023-08-24 00:00:00
2023-12-11T10:01:49.401861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:01:49.494764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T10:01:45.964427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T10:01:49.573812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호법인구분
번호1.0000.125
법인구분0.1251.000
2023-12-11T10:01:49.921174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호법인구분
번호1.0000.095
법인구분0.0951.000

Missing values

2023-12-11T10:01:46.092879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T10:01:46.219813image/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

번호법인또는상호운영상태법인구분소재지주소도메인명기준일자
01헤라쇼핑정상영업개인경상남도 거제시 하청면 칠천로 1328https://buy.tosspayments.com/shops/mob_nhpNaRSXDa2023-08-24
12해성컴퍼니정상영업개인경상남도 거제시 아주로 73, 105동 1402호 (아주동, 석호해와루아파트)네이버 스마트스토어2023-08-24
23제이제이에스하우스정상영업개인경상남도 거제시 성산로 169, 205동 404호 (덕포동, 거제 옥포 도뮤토 2단지)https://buy.tosspayments.com/shops/mob_N3rDFge8Nu2023-08-24
34동환스토어정상영업개인경상남도 거제시 수양로 110, 207동 1604호 (양정동, 거제2차 IPARK)네이버 스마트스토어2023-08-24
45구르몽정상영업개인경상남도 거제시 문동1길 42, 113동 6층 2호 (문동동, 거제 센트럴 푸르지오)https://smartstore.naver.com/gourm_home2023-08-24
56디저트 사각(dessert sakak)정상영업개인경상남도 거제시 아주2로 137, 상가동 지1층 103호 (아주동, 아주e편한세상 2단지)오픈마켓2023-08-24
67제이케이 유탑대리점정상영업개인경상남도 거제시 용소1길 17-17, 101동 1202호 (아주동, 거제 마린 푸르지오 1단지)네이버 스마트스토어2023-08-24
78이베스트정상영업개인경상남도 거제시 일운면 소동8길 11, 108동 1203호 (스타힐스 오션시티)쿠팡2023-08-24
89예니피스정상영업개인경상남도 거제시 사등면 두동로 30, 111동 2401호 (경남 아너스빌)https://smartstore.naver.com/yaenipeace2023-08-24
910야물딱비쥬정상영업개인경상남도 거제시 용소4길 10, 트윈브라운 4층 501호 (아주동)네이버 스마트스토어2023-08-24
번호법인또는상호운영상태법인구분소재지주소도메인명기준일자
25312532㈜바다로정상영업법인경상남도 거제시 중곡2로 89-1, 거제2차덕산베스트타운 상가동 401호 (고현동)http://OEDO.CO.KR2023-08-24
25322533대일수산㈜정상영업법인하청면 실전리 1005-1delisea.co.kr2023-08-24
25332534태인정상영업개인신현읍 장평리 성원(아) 5-601호옥션(auction.co.kr)2023-08-24
25342535중앙씨푸드㈜정상영업법인둔덕면 어구리 142www.singsings.co.kr2023-08-24
25352536아이쇼핑넷정상영업개인신현읍 고현리 90eyeshopping.net2023-08-24
25362537더 뷰티 보나정상영업개인경상남도 거제시 수양로 456-10, 3층 (수월동)https://www.instagram.com/thebeautybona2023-08-24
25372538토지몰정상영업개인연초면 죽토리 대화(아) 201호www.nnc3163.co.kr2023-08-24
25382539제11대림호정상영업개인장목면 외포리 64-1//mall.epost.go.kr2023-08-24
25392540승리호식품정상영업개인사등면 창호리 615www.epost.go.kr2023-08-24
25402541거제사슴영농조합법인정상영업법인거제면 옥산리 285-3HTTP://WWW.2023-08-24