Overview

Dataset statistics

Number of variables8
Number of observations2292
Missing cells86
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory145.6 KiB
Average record size in memory65.1 B

Variable types

Numeric1
Text4
Categorical3

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 (59.5%)Imbalance
소재지우편번호 has 85 (3.7%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 01:01:37.019221
Analysis finished2023-12-11 01:01:38.214152
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct2292
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1146.5
Minimum1
Maximum2292
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2023-12-11T10:01:38.273563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile115.55
Q1573.75
median1146.5
Q31719.25
95-th percentile2177.45
Maximum2292
Range2291
Interquartile range (IQR)1145.5

Descriptive statistics

Standard deviation661.78773
Coefficient of variation (CV)0.57722436
Kurtosis-1.2
Mean1146.5
Median Absolute Deviation (MAD)573
Skewness0
Sum2627778
Variance437963
MonotonicityStrictly increasing
2023-12-11T10:01:38.386173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1533 1
 
< 0.1%
1527 1
 
< 0.1%
1528 1
 
< 0.1%
1529 1
 
< 0.1%
1530 1
 
< 0.1%
1531 1
 
< 0.1%
1532 1
 
< 0.1%
1534 1
 
< 0.1%
1525 1
 
< 0.1%
Other values (2282) 2282
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 (%)
2292 1
< 0.1%
2291 1
< 0.1%
2290 1
< 0.1%
2289 1
< 0.1%
2288 1
< 0.1%
2287 1
< 0.1%
2286 1
< 0.1%
2285 1
< 0.1%
2284 1
< 0.1%
2283 1
< 0.1%

법인또는상호
Text

Distinct2276
Distinct (%)99.3%
Missing1
Missing (%)< 0.1%
Memory size18.0 KiB
2023-12-11T10:01:38.644719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length31
Mean length6.6438237
Min length1

Characters and Unicode

Total characters15221
Distinct characters810
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2261 ?
Unique (%)98.7%

Sample

1st row보담
2nd row애플물류
3rd row밋시네일
4th row거제도청년
5th row다현쥬얼리
ValueCountFrequency (%)
주식회사 80
 
2.8%
거제 13
 
0.5%
농업회사법인 12
 
0.4%
거제점 9
 
0.3%
펜션 8
 
0.3%
주 6
 
0.2%
마켓 6
 
0.2%
the 5
 
0.2%
인터내셔널 5
 
0.2%
더 5
 
0.2%
Other values (2586) 2694
94.8%
2023-12-11T10:01:39.045758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
559
 
3.7%
이 468
 
3.1%
스 355
 
2.3%
) 328
 
2.2%
( 327
 
2.1%
제 288
 
1.9%
리 222
 
1.5%
거 208
 
1.4%
사 179
 
1.2%
아 169
 
1.1%
Other values (800) 12118
79.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11701
76.9%
Lowercase Letter 1112
 
7.3%
Uppercase Letter 958
 
6.3%
Space Separator 559
 
3.7%
Close Punctuation 328
 
2.2%
Open Punctuation 327
 
2.1%
Decimal Number 158
 
1.0%
Other Punctuation 50
 
0.3%
Dash Punctuation 15
 
0.1%
Connector Punctuation 8
 
0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 468
 
4.0%
스 355
 
3.0%
제 288
 
2.5%
리 222
 
1.9%
거 208
 
1.8%
사 179
 
1.5%
아 169
 
1.4%
주 163
 
1.4%
션 153
 
1.3%
라 151
 
1.3%
Other values (727) 9345
79.9%
Uppercase Letter
ValueCountFrequency (%)
A 86
 
9.0%
S 73
 
7.6%
O 66
 
6.9%
E 65
 
6.8%
M 62
 
6.5%
B 54
 
5.6%
N 51
 
5.3%
T 51
 
5.3%
L 49
 
5.1%
C 42
 
4.4%
Other values (16) 359
37.5%
Lowercase Letter
ValueCountFrequency (%)
e 128
11.5%
a 111
 
10.0%
o 111
 
10.0%
l 89
 
8.0%
n 88
 
7.9%
i 82
 
7.4%
r 60
 
5.4%
t 57
 
5.1%
m 51
 
4.6%
s 48
 
4.3%
Other values (14) 287
25.8%
Decimal Number
ValueCountFrequency (%)
1 33
20.9%
2 32
20.3%
0 23
14.6%
7 14
8.9%
9 13
 
8.2%
5 11
 
7.0%
3 9
 
5.7%
8 8
 
5.1%
4 8
 
5.1%
6 7
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 30
60.0%
& 13
26.0%
' 4
 
8.0%
/ 2
 
4.0%
: 1
 
2.0%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
559
100.0%
Close Punctuation
ValueCountFrequency (%)
) 328
100.0%
Open Punctuation
ValueCountFrequency (%)
( 327
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11704
76.9%
Latin 2070
 
13.6%
Common 1447
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 468
 
4.0%
스 355
 
3.0%
제 288
 
2.5%
리 222
 
1.9%
거 208
 
1.8%
사 179
 
1.5%
아 169
 
1.4%
주 163
 
1.4%
션 153
 
1.3%
라 151
 
1.3%
Other values (728) 9348
79.9%
Latin
ValueCountFrequency (%)
e 128
 
6.2%
a 111
 
5.4%
o 111
 
5.4%
l 89
 
4.3%
n 88
 
4.3%
A 86
 
4.2%
i 82
 
4.0%
S 73
 
3.5%
O 66
 
3.2%
E 65
 
3.1%
Other values (40) 1171
56.6%
Common
ValueCountFrequency (%)
559
38.6%
) 328
22.7%
( 327
22.6%
1 33
 
2.3%
2 32
 
2.2%
. 30
 
2.1%
0 23
 
1.6%
- 15
 
1.0%
7 14
 
1.0%
9 13
 
0.9%
Other values (12) 73
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11701
76.9%
ASCII 3517
 
23.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
559
 
15.9%
) 328
 
9.3%
( 327
 
9.3%
e 128
 
3.6%
a 111
 
3.2%
o 111
 
3.2%
l 89
 
2.5%
n 88
 
2.5%
A 86
 
2.4%
i 82
 
2.3%
Other values (62) 1608
45.7%
Hangul
ValueCountFrequency (%)
이 468
 
4.0%
스 355
 
3.0%
제 288
 
2.5%
리 222
 
1.9%
거 208
 
1.8%
사 179
 
1.5%
아 169
 
1.4%
주 163
 
1.4%
션 153
 
1.3%
라 151
 
1.3%
Other values (727) 9345
79.9%
None
ValueCountFrequency (%)
㈜ 3
100.0%

운영상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
정상영업
2292 

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 2292
100.0%

Length

2023-12-11T10:01:39.175735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:01:39.249575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 2292
100.0%

법인구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
개인
2107 
법인
 
185

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 2107
91.9%
법인 185
 
8.1%

Length

2023-12-11T10:01:39.338880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:01:39.416751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 2107
91.9%
법인 185
 
8.1%

소재지우편번호
Text

MISSING 

Distinct176
Distinct (%)8.0%
Missing85
Missing (%)3.7%
Memory size18.0 KiB
2023-12-11T10:01:39.693213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1323063
Min length5

Characters and Unicode

Total characters11327
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)1.6%

Sample

1st row53238
2nd row53275
3rd row53264
4th row53271
5th row53258
ValueCountFrequency (%)
53329 77
 
3.5%
53278 59
 
2.7%
53305 45
 
2.0%
53332 44
 
2.0%
53202 39
 
1.8%
53307 37
 
1.7%
53251 35
 
1.6%
53296 34
 
1.5%
53244 34
 
1.5%
53328 34
 
1.5%
Other values (166) 1769
80.2%
2023-12-11T10:01:40.126853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 3153
27.8%
5 2630
23.2%
2 2035
18.0%
6 601
 
5.3%
0 599
 
5.3%
8 506
 
4.5%
9 456
 
4.0%
4 424
 
3.7%
7 418
 
3.7%
1 359
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11181
98.7%
Dash Punctuation 146
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 3153
28.2%
5 2630
23.5%
2 2035
18.2%
6 601
 
5.4%
0 599
 
5.4%
8 506
 
4.5%
9 456
 
4.1%
4 424
 
3.8%
7 418
 
3.7%
1 359
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11327
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 3153
27.8%
5 2630
23.2%
2 2035
18.0%
6 601
 
5.3%
0 599
 
5.3%
8 506
 
4.5%
9 456
 
4.0%
4 424
 
3.7%
7 418
 
3.7%
1 359
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11327
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 3153
27.8%
5 2630
23.2%
2 2035
18.0%
6 601
 
5.3%
0 599
 
5.3%
8 506
 
4.5%
9 456
 
4.0%
4 424
 
3.7%
7 418
 
3.7%
1 359
 
3.2%

소재지주소
Text

Distinct2211
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
2023-12-11T10:01:40.428212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length48
Mean length32.945899
Min length10

Characters and Unicode

Total characters75512
Distinct characters382
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

Unique2138 ?
Unique (%)93.3%

Sample

1st row경상남도 거제시 해명로 52， 110동 1304호 (수월동， 거제자이)
2nd row경상남도 거제시 사등면 지석2길 47， 102동 903호 (덕진봄아파트)
3rd row경상남도 거제시 장평1로 143， 210동 103호 (장평동， 장평제2차주공아파트)
4th row경상남도 거제시 장평2로2길 10， 201동 703호 (장평동， 덕산 아내 2차)
5th row경상남도 거제시 거제중앙로5길 4， 1층호 (고현동)
ValueCountFrequency (%)
경상남도 2279
 
14.7%
거제시 2277
 
14.7%
1층 207
 
1.3%
일운면 199
 
1.3%
고현동 190
 
1.2%
사등면 169
 
1.1%
아주동， 160
 
1.0%
상동동， 143
 
0.9%
거제대로 127
 
0.8%
고현동， 122
 
0.8%
Other values (2260) 9658
62.2%
2023-12-11T10:01:40.871860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13243
 
17.5%
1 3956
 
5.2%
제 3038
 
4.0%
거 3011
 
4.0%
동 2981
 
3.9%
상 2718
 
3.6%
0 2417
 
3.2%
남 2416
 
3.2%
시 2332
 
3.1%
도 2320
 
3.1%
Other values (372) 37080
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41332
54.7%
Decimal Number 14555
 
19.3%
Space Separator 13243
 
17.5%
Other Punctuation 2248
 
3.0%
Close Punctuation 1546
 
2.0%
Open Punctuation 1546
 
2.0%
Dash Punctuation 724
 
1.0%
Uppercase Letter 208
 
0.3%
Lowercase Letter 103
 
0.1%
Math Symbol 4
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 3038
 
7.4%
거 3011
 
7.3%
동 2981
 
7.2%
상 2718
 
6.6%
남 2416
 
5.8%
시 2332
 
5.6%
도 2320
 
5.6%
경 2316
 
5.6%
로 1572
 
3.8%
호 1194
 
2.9%
Other values (330) 17434
42.2%
Uppercase Letter
ValueCountFrequency (%)
K 42
20.2%
C 31
14.9%
A 29
13.9%
P 24
11.5%
I 24
11.5%
R 24
11.5%
B 19
9.1%
S 5
 
2.4%
D 3
 
1.4%
H 2
 
1.0%
Other values (3) 5
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 3956
27.2%
0 2417
16.6%
2 2120
14.6%
3 1454
 
10.0%
5 1048
 
7.2%
4 1043
 
7.2%
7 747
 
5.1%
6 628
 
4.3%
9 597
 
4.1%
8 545
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
e 81
78.6%
l 8
 
7.8%
s 3
 
2.9%
i 2
 
1.9%
y 2
 
1.9%
r 2
 
1.9%
v 2
 
1.9%
k 1
 
1.0%
c 1
 
1.0%
b 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
， 2245
99.9%
. 3
 
0.1%
Space Separator
ValueCountFrequency (%)
13243
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1546
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1546
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 724
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41331
54.7%
Common 33866
44.8%
Latin 313
 
0.4%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 3038
 
7.4%
거 3011
 
7.3%
동 2981
 
7.2%
상 2718
 
6.6%
남 2416
 
5.8%
시 2332
 
5.6%
도 2320
 
5.6%
경 2316
 
5.6%
로 1572
 
3.8%
호 1194
 
2.9%
Other values (330) 17433
42.2%
Latin
ValueCountFrequency (%)
e 81
25.9%
K 42
13.4%
C 31
 
9.9%
A 29
 
9.3%
P 24
 
7.7%
I 24
 
7.7%
R 24
 
7.7%
B 19
 
6.1%
l 8
 
2.6%
S 5
 
1.6%
Other values (14) 26
 
8.3%
Common
ValueCountFrequency (%)
13243
39.1%
1 3956
 
11.7%
0 2417
 
7.1%
， 2245
 
6.6%
2 2120
 
6.3%
) 1546
 
4.6%
( 1546
 
4.6%
3 1454
 
4.3%
5 1048
 
3.1%
4 1043
 
3.1%
Other values (7) 3248
 
9.6%
Han
ValueCountFrequency (%)
家 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41330
54.7%
ASCII 31932
42.3%
None 2246
 
3.0%
Number Forms 2
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13243
41.5%
1 3956
 
12.4%
0 2417
 
7.6%
2 2120
 
6.6%
) 1546
 
4.8%
( 1546
 
4.8%
3 1454
 
4.6%
5 1048
 
3.3%
4 1043
 
3.3%
7 747
 
2.3%
Other values (29) 2812
 
8.8%
Hangul
ValueCountFrequency (%)
제 3038
 
7.4%
거 3011
 
7.3%
동 2981
 
7.2%
상 2718
 
6.6%
남 2416
 
5.8%
시 2332
 
5.6%
도 2320
 
5.6%
경 2316
 
5.6%
로 1572
 
3.8%
호 1194
 
2.9%
Other values (329) 17432
42.2%
None
ValueCountFrequency (%)
， 2245
> 99.9%
㈜ 1
 
< 0.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
CJK
ValueCountFrequency (%)
家 2
100.0%

도메인명
Text

Distinct1414
Distinct (%)61.7%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
2023-12-11T10:01:41.121193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length41
Mean length19.163176
Min length1

Characters and Unicode

Total characters43922
Distinct characters290
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

Unique1351 ?
Unique (%)58.9%

Sample

1st row네이버 스마트스토어
2nd row네이버 스마트스토어
3rd rowhttp://smartstore.naver.com/mitsy_nail
4th rowhttps://buy.tosspayments.com/shops/mob_eofb7mj4tc
5th row쿠팡
ValueCountFrequency (%)
네이버 490
 
17.2%
스마트스토어 421
 
14.8%
쿠팡 144
 
5.1%
58
 
2.0%
11번가 39
 
1.4%
a 38
 
1.3%
옥션 38
 
1.3%
지마켓 34
 
1.2%
네이버스마트스토어 33
 
1.2%
오픈마켓 21
 
0.7%
Other values (1385) 1526
53.7%
2023-12-11T10:01:41.568126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 3242
 
7.4%
o 2993
 
6.8%
. 2750
 
6.3%
r 2558
 
5.8%
/ 2470
 
5.6%
a 2416
 
5.5%
e 2337
 
5.3%
s 2231
 
5.1%
m 2063
 
4.7%
c 1509
 
3.4%
Other values (280) 19353
44.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 30144
68.6%
Other Punctuation 6072
 
13.8%
Other Letter 5757
 
13.1%
Decimal Number 907
 
2.1%
Space Separator 562
 
1.3%
Connector Punctuation 158
 
0.4%
Uppercase Letter 149
 
0.3%
Dash Punctuation 143
 
0.3%
Close Punctuation 15
 
< 0.1%
Open Punctuation 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 967
16.8%
이 559
9.7%
마 546
9.5%
네 539
9.4%
버 538
9.3%
어 472
8.2%
토 471
8.2%
트 461
8.0%
쿠 145
 
2.5%
팡 145
 
2.5%
Other values (205) 914
15.9%
Lowercase Letter
ValueCountFrequency (%)
t 3242
10.8%
o 2993
 
9.9%
r 2558
 
8.5%
a 2416
 
8.0%
e 2337
 
7.8%
s 2231
 
7.4%
m 2063
 
6.8%
c 1509
 
5.0%
n 1472
 
4.9%
w 1375
 
4.6%
Other values (16) 7948
26.4%
Uppercase Letter
ValueCountFrequency (%)
G 23
15.4%
O 13
 
8.7%
C 10
 
6.7%
T 10
 
6.7%
W 9
 
6.0%
M 7
 
4.7%
E 6
 
4.0%
R 6
 
4.0%
S 6
 
4.0%
A 5
 
3.4%
Other values (16) 54
36.2%
Decimal Number
ValueCountFrequency (%)
1 205
22.6%
0 142
15.7%
2 129
14.2%
4 82
 
9.0%
7 69
 
7.6%
5 67
 
7.4%
8 60
 
6.6%
9 56
 
6.2%
3 51
 
5.6%
6 46
 
5.1%
Other Punctuation
ValueCountFrequency (%)
. 2750
45.3%
/ 2470
40.7%
: 838
 
13.8%
; 5
 
0.1%
# 4
 
0.1%
@ 4
 
0.1%
" 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
562
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30293
69.0%
Common 7872
 
17.9%
Hangul 5757
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 967
16.8%
이 559
9.7%
마 546
9.5%
네 539
9.4%
버 538
9.3%
어 472
8.2%
토 471
8.2%
트 461
8.0%
쿠 145
 
2.5%
팡 145
 
2.5%
Other values (205) 914
15.9%
Latin
ValueCountFrequency (%)
t 3242
10.7%
o 2993
 
9.9%
r 2558
 
8.4%
a 2416
 
8.0%
e 2337
 
7.7%
s 2231
 
7.4%
m 2063
 
6.8%
c 1509
 
5.0%
n 1472
 
4.9%
w 1375
 
4.5%
Other values (42) 8097
26.7%
Common
ValueCountFrequency (%)
. 2750
34.9%
/ 2470
31.4%
: 838
 
10.6%
562
 
7.1%
1 205
 
2.6%
_ 158
 
2.0%
- 143
 
1.8%
0 142
 
1.8%
2 129
 
1.6%
4 82
 
1.0%
Other values (13) 393
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38165
86.9%
Hangul 5757
 
13.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 3242
 
8.5%
o 2993
 
7.8%
. 2750
 
7.2%
r 2558
 
6.7%
/ 2470
 
6.5%
a 2416
 
6.3%
e 2337
 
6.1%
s 2231
 
5.8%
m 2063
 
5.4%
c 1509
 
4.0%
Other values (65) 13596
35.6%
Hangul
ValueCountFrequency (%)
스 967
16.8%
이 559
9.7%
마 546
9.5%
네 539
9.4%
버 538
9.3%
어 472
8.2%
토 471
8.2%
트 461
8.0%
쿠 145
 
2.5%
팡 145
 
2.5%
Other values (205) 914
15.9%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.0 KiB
2022-08-30
2292 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-30
2nd row2022-08-30
3rd row2022-08-30
4th row2022-08-30
5th row2022-08-30

Common Values

ValueCountFrequency (%)
2022-08-30 2292
100.0%

Length

2023-12-11T10:01:41.693435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:01:41.802886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-30 2292
100.0%

Interactions

2023-12-11T10:01:37.893426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T10:01:41.866245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호법인구분
번호1.0000.137
법인구분0.1371.000
2023-12-11T10:01:41.947616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호법인구분
번호1.0000.105
법인구분0.1051.000

Missing values

2023-12-11T10:01:37.991161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T10:01:38.093080image/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.
2023-12-11T10:01:38.173731image/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

번호법인또는상호운영상태법인구분소재지우편번호소재지주소도메인명기준일자
01보담정상영업개인53238경상남도 거제시 해명로 52， 110동 1304호 (수월동， 거제자이)네이버 스마트스토어2022-08-30
12애플물류정상영업개인53275경상남도 거제시 사등면 지석2길 47， 102동 903호 (덕진봄아파트)네이버 스마트스토어2022-08-30
23밋시네일정상영업개인53264경상남도 거제시 장평1로 143， 210동 103호 (장평동， 장평제2차주공아파트)http://smartstore.naver.com/mitsy_nail2022-08-30
34거제도청년정상영업개인53271경상남도 거제시 장평2로2길 10， 201동 703호 (장평동， 덕산 아내 2차)https://buy.tosspayments.com/shops/mob_eofb7mj4tc2022-08-30
45다현쥬얼리정상영업개인53258경상남도 거제시 거제중앙로5길 4， 1층호 (고현동)쿠팡2022-08-30
56인더팬더정상영업개인53308경상남도 거제시 아주1로 117-1(아주동)http://smartstore.naver.com/inthepanda2022-08-30
67주식회사 셀프9정상영업법인53299경상남도 거제시 거제중앙로 1352(삼거동)https://smartstore.naver.com/self92022-08-30
78에드마린정상영업개인53305경상남도 거제시 아주1로 8， 스타타워2차 2층 상가 203호 (아주동)https://smartstore.naver.com/bulemarine/doemakfls2022-08-30
89크크밥정상영업개인53256경상남도 거제시 거제중앙로15길 5， 1층 (고현동)네이버 스마트스토어2022-08-30
910주식회사 덕이네정상영업법인53275경상남도 거제시 사등면 지석2길 50-19， 주1동옥션2022-08-30
번호법인또는상호운영상태법인구분소재지우편번호소재지주소도메인명기준일자
22822283우리수산정상영업개인<NA>연초면 한내리 24-1www.woorione.co.kr2022-08-30
22832284㈜바다로정상영업법인53247경상남도 거제시 중곡2로 89-1， 거제2차덕산베스트타운 상가동 401호 (고현동)http://OEDO.CO.KR2022-08-30
22842285대일수산㈜정상영업법인<NA>하청면 실전리 1005-1delisea.co.kr2022-08-30
22852286태인정상영업개인<NA>신현읍 장평리 성원(아) 5-601호옥션(auction.co.kr)2022-08-30
22862287중앙씨푸드㈜정상영업법인<NA>둔덕면 어구리 142www.singsings.co.kr2022-08-30
22872288아이쇼핑넷정상영업개인<NA>신현읍 고현리 90eyeshopping.net2022-08-30
22882289토지몰정상영업개인<NA>연초면 죽토리 대화(아) 201호www.nnc3163.co.kr2022-08-30
22892290제11대림호정상영업개인<NA>장목면 외포리 64-1//mall.epost.go.kr2022-08-30
22902291승리호식품정상영업개인<NA>사등면 창호리 615www.epost.go.kr2022-08-30
22912292거제사슴영농조합법인정상영업법인<NA>거제면 옥산리 285-3HTTP://WWW.2022-08-30