Overview

Dataset statistics

Number of variables8
Number of observations1464
Missing cells1150
Missing cells (%)9.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory91.6 KiB
Average record size in memory64.1 B

Variable types

DateTime1
Text6
Categorical1

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

기준일자 has constant value ""Constant
대표자전화번호 has 1149 (78.5%) missing valuesMissing

Reproduction

Analysis started2023-12-11 01:01:51.895053
Analysis finished2023-12-11 01:01:52.939980
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신고일자
Date

Distinct934
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
Minimum2002-11-11 00:00:00
Maximum2019-02-28 00:00:00
2023-12-11T10:01:53.010369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T10:01:53.176352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대표자명
Text

Distinct1351
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
2023-12-11T10:01:53.513848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length3
Mean length3.0840164
Min length2

Characters and Unicode

Total characters4515
Distinct characters251
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1256 ?
Unique (%)85.8%

Sample

1st row민현선
2nd row이정자
3rd row함인정
4th row이성환
5th row이지민
ValueCountFrequency (%)
외1명 8
 
0.5%
김미경 5
 
0.3%
1명 5
 
0.3%
김민지 4
 
0.3%
이미애 3
 
0.2%
김수정 3
 
0.2%
김민정 3
 
0.2%
이선미 3
 
0.2%
박수현 3
 
0.2%
김지영 3
 
0.2%
Other values (1353) 1449
97.3%
2023-12-11T10:01:54.081394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 324
 
7.2%
정 218
 
4.8%
이 205
 
4.5%
영 165
 
3.7%
박 126
 
2.8%
진 119
 
2.6%
미 98
 
2.2%
희 95
 
2.1%
현 85
 
1.9%
민 84
 
1.9%
Other values (241) 2996
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4423
98.0%
Uppercase Letter 44
 
1.0%
Space Separator 25
 
0.6%
Decimal Number 17
 
0.4%
Other Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 324
 
7.3%
정 218
 
4.9%
이 205
 
4.6%
영 165
 
3.7%
박 126
 
2.8%
진 119
 
2.7%
미 98
 
2.2%
희 95
 
2.1%
현 85
 
1.9%
민 84
 
1.9%
Other values (219) 2904
65.7%
Uppercase Letter
ValueCountFrequency (%)
S 6
13.6%
O 6
13.6%
A 5
11.4%
N 4
9.1%
H 3
 
6.8%
T 3
 
6.8%
C 3
 
6.8%
W 2
 
4.5%
U 2
 
4.5%
E 2
 
4.5%
Other values (7) 8
18.2%
Decimal Number
ValueCountFrequency (%)
1 15
88.2%
3 1
 
5.9%
8 1
 
5.9%
Space Separator
ValueCountFrequency (%)
25
100.0%
Other Punctuation
ValueCountFrequency (%)
， 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4423
98.0%
Common 48
 
1.1%
Latin 44
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 324
 
7.3%
정 218
 
4.9%
이 205
 
4.6%
영 165
 
3.7%
박 126
 
2.8%
진 119
 
2.7%
미 98
 
2.2%
희 95
 
2.1%
현 85
 
1.9%
민 84
 
1.9%
Other values (219) 2904
65.7%
Latin
ValueCountFrequency (%)
S 6
13.6%
O 6
13.6%
A 5
11.4%
N 4
9.1%
H 3
 
6.8%
T 3
 
6.8%
C 3
 
6.8%
W 2
 
4.5%
U 2
 
4.5%
E 2
 
4.5%
Other values (7) 8
18.2%
Common
ValueCountFrequency (%)
25
52.1%
1 15
31.2%
， 6
 
12.5%
3 1
 
2.1%
8 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4423
98.0%
ASCII 86
 
1.9%
None 6
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 324
 
7.3%
정 218
 
4.9%
이 205
 
4.6%
영 165
 
3.7%
박 126
 
2.8%
진 119
 
2.7%
미 98
 
2.2%
희 95
 
2.1%
현 85
 
1.9%
민 84
 
1.9%
Other values (219) 2904
65.7%
ASCII
ValueCountFrequency (%)
25
29.1%
1 15
17.4%
S 6
 
7.0%
O 6
 
7.0%
A 5
 
5.8%
N 4
 
4.7%
H 3
 
3.5%
T 3
 
3.5%
C 3
 
3.5%
W 2
 
2.3%
Other values (11) 14
16.3%
None
ValueCountFrequency (%)
， 6
100.0%

대표자전화번호
Text

MISSING 

Distinct310
Distinct (%)98.4%
Missing1149
Missing (%)78.5%
Memory size11.6 KiB
2023-12-11T10:01:54.373818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.095238
Min length9

Characters and Unicode

Total characters3810
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

Unique305 ?
Unique (%)96.8%

Sample

1st row02-2052-0001
2nd row02-425-0452
3rd row031-675-8695
4th row051-262-8255
5th row051-263-2603
ValueCountFrequency (%)
055-637-1161 2
 
0.6%
055-682-0977 2
 
0.6%
055-681-7960 2
 
0.6%
055-633-5575 2
 
0.6%
055-637-6570 2
 
0.6%
055-681-0668 1
 
0.3%
055-681-1660 1
 
0.3%
055-681-1212 1
 
0.3%
055-681-1211 1
 
0.3%
055-681-1095 1
 
0.3%
Other values (300) 300
95.2%
2023-12-11T10:01:54.803617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 731
19.2%
- 629
16.5%
0 522
13.7%
6 439
11.5%
3 360
9.4%
8 231
 
6.1%
7 218
 
5.7%
1 217
 
5.7%
2 199
 
5.2%
4 158
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3181
83.5%
Dash Punctuation 629
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 731
23.0%
0 522
16.4%
6 439
13.8%
3 360
11.3%
8 231
 
7.3%
7 218
 
6.9%
1 217
 
6.8%
2 199
 
6.3%
4 158
 
5.0%
9 106
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 629
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3810
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 731
19.2%
- 629
16.5%
0 522
13.7%
6 439
11.5%
3 360
9.4%
8 231
 
6.1%
7 218
 
5.7%
1 217
 
5.7%
2 199
 
5.2%
4 158
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3810
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 731
19.2%
- 629
16.5%
0 522
13.7%
6 439
11.5%
3 360
9.4%
8 231
 
6.1%
7 218
 
5.7%
1 217
 
5.7%
2 199
 
5.2%
4 158
 
4.1%

소재지주소
Text

Distinct1415
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
2023-12-11T10:01:55.143760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length30.980191
Min length18

Characters and Unicode

Total characters45355
Distinct characters350
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1369 ?
Unique (%)93.5%

Sample

1st row경상남도 거제시 연초면 연하해안로 284
2nd row경상남도 거제시 능포로 97， 3층 (장승포동， 케이티장승포빌딩)
3rd row경상남도 거제시 하청면 칠천로 903-14
4th row경상남도 거제시 남부면 저구1길 15
5th row경상남도 거제시 장평1로 86， 17동 205호 (장평동， 삼성중공업사원아파트，삼성빌리지)
ValueCountFrequency (%)
경상남도 1464
 
15.6%
거제시 1463
 
15.6%
일운면 129
 
1.4%
거제대로 106
 
1.1%
사등면 104
 
1.1%
고현동 102
 
1.1%
고현동， 97
 
1.0%
1층 94
 
1.0%
동부면 94
 
1.0%
장목면 88
 
0.9%
Other values (1813) 5641
60.1%
2023-12-11T10:01:55.675760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7921
 
17.5%
1 2194
 
4.8%
제 1887
 
4.2%
거 1886
 
4.2%
동 1731
 
3.8%
상 1718
 
3.8%
남 1580
 
3.5%
시 1494
 
3.3%
경 1485
 
3.3%
도 1482
 
3.3%
Other values (340) 21977
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25322
55.8%
Decimal Number 8490
 
18.7%
Space Separator 7921
 
17.5%
Other Punctuation 1238
 
2.7%
Open Punctuation 910
 
2.0%
Close Punctuation 910
 
2.0%
Dash Punctuation 463
 
1.0%
Lowercase Letter 53
 
0.1%
Uppercase Letter 46
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 1887
 
7.5%
거 1886
 
7.4%
동 1731
 
6.8%
상 1718
 
6.8%
남 1580
 
6.2%
시 1494
 
5.9%
경 1485
 
5.9%
도 1482
 
5.9%
로 977
 
3.9%
길 725
 
2.9%
Other values (303) 10357
40.9%
Uppercase Letter
ValueCountFrequency (%)
K 10
21.7%
B 8
17.4%
A 6
13.0%
C 5
10.9%
S 4
 
8.7%
I 3
 
6.5%
P 2
 
4.3%
R 2
 
4.3%
T 2
 
4.3%
W 1
 
2.2%
Other values (3) 3
 
6.5%
Decimal Number
ValueCountFrequency (%)
1 2194
25.8%
0 1327
15.6%
2 1259
14.8%
3 851
 
10.0%
4 645
 
7.6%
5 626
 
7.4%
7 459
 
5.4%
6 421
 
5.0%
8 359
 
4.2%
9 349
 
4.1%
Lowercase Letter
ValueCountFrequency (%)
e 47
88.7%
c 2
 
3.8%
u 1
 
1.9%
k 1
 
1.9%
t 1
 
1.9%
a 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
， 1236
99.8%
. 2
 
0.2%
Space Separator
ValueCountFrequency (%)
7921
100.0%
Open Punctuation
ValueCountFrequency (%)
( 910
100.0%
Close Punctuation
ValueCountFrequency (%)
) 910
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 463
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25321
55.8%
Common 19933
43.9%
Latin 100
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 1887
 
7.5%
거 1886
 
7.4%
동 1731
 
6.8%
상 1718
 
6.8%
남 1580
 
6.2%
시 1494
 
5.9%
경 1485
 
5.9%
도 1482
 
5.9%
로 977
 
3.9%
길 725
 
2.9%
Other values (302) 10356
40.9%
Latin
ValueCountFrequency (%)
e 47
47.0%
K 10
 
10.0%
B 8
 
8.0%
A 6
 
6.0%
C 5
 
5.0%
S 4
 
4.0%
I 3
 
3.0%
P 2
 
2.0%
R 2
 
2.0%
c 2
 
2.0%
Other values (10) 11
 
11.0%
Common
ValueCountFrequency (%)
7921
39.7%
1 2194
 
11.0%
0 1327
 
6.7%
2 1259
 
6.3%
， 1236
 
6.2%
( 910
 
4.6%
) 910
 
4.6%
3 851
 
4.3%
4 645
 
3.2%
5 626
 
3.1%
Other values (7) 2054
 
10.3%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25321
55.8%
ASCII 18796
41.4%
None 1236
 
2.7%
CJK 1
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7921
42.1%
1 2194
 
11.7%
0 1327
 
7.1%
2 1259
 
6.7%
( 910
 
4.8%
) 910
 
4.8%
3 851
 
4.5%
4 645
 
3.4%
5 626
 
3.3%
- 463
 
2.5%
Other values (25) 1690
 
9.0%
Hangul
ValueCountFrequency (%)
제 1887
 
7.5%
거 1886
 
7.4%
동 1731
 
6.8%
상 1718
 
6.8%
남 1580
 
6.2%
시 1494
 
5.9%
경 1485
 
5.9%
도 1482
 
5.9%
로 977
 
3.9%
길 725
 
2.9%
Other values (302) 10356
40.9%
None
ValueCountFrequency (%)
， 1236
100.0%
CJK
ValueCountFrequency (%)
家 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도메인명
Text

Distinct1288
Distinct (%)88.0%
Missing1
Missing (%)0.1%
Memory size11.6 KiB
2023-12-11T10:01:55.916216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length36
Mean length21.843472
Min length1

Characters and Unicode

Total characters31957
Distinct characters288
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

Unique1234 ?
Unique (%)84.3%

Sample

1st rowhttp://www.sunygolf.co.kr
2nd rowwww.maxcongroup.com
3rd rowhttp://ingworld.co.kr
4th rowwww.노을풍경.com
5th rowhttp://luvthemoment.blog.me/
ValueCountFrequency (%)
a 56
 
3.5%
지마켓 52
 
3.3%
11번가 46
 
2.9%
옥션 45
 
2.8%
쿠팡 17
 
1.1%
16
 
1.0%
www.gmarket.co.kr 7
 
0.4%
www.aritaum.com 5
 
0.3%
sw2016.co.kr 5
 
0.3%
www.canarias.kr 5
 
0.3%
Other values (1276) 1338
84.0%
2023-12-11T10:01:56.346281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 2668
 
8.3%
o 2612
 
8.2%
t 2122
 
6.6%
a 1867
 
5.8%
/ 1844
 
5.8%
e 1773
 
5.5%
r 1744
 
5.5%
w 1705
 
5.3%
m 1575
 
4.9%
c 1419
 
4.4%
Other values (278) 12628
39.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 24360
76.2%
Other Punctuation 5144
 
16.1%
Decimal Number 1054
 
3.3%
Other Letter 940
 
2.9%
Space Separator 180
 
0.6%
Dash Punctuation 90
 
0.3%
Uppercase Letter 86
 
0.3%
Connector Punctuation 79
 
0.2%
Close Punctuation 12
 
< 0.1%
Open Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 67
 
7.1%
켓 63
 
6.7%
션 58
 
6.2%
지 56
 
6.0%
가 52
 
5.5%
옥 49
 
5.2%
번 49
 
5.2%
거 19
 
2.0%
제 17
 
1.8%
팡 17
 
1.8%
Other values (206) 493
52.4%
Lowercase Letter
ValueCountFrequency (%)
o 2612
 
10.7%
t 2122
 
8.7%
a 1867
 
7.7%
e 1773
 
7.3%
r 1744
 
7.2%
w 1705
 
7.0%
m 1575
 
6.5%
c 1419
 
5.8%
n 1228
 
5.0%
s 1132
 
4.6%
Other values (16) 7183
29.5%
Uppercase Letter
ValueCountFrequency (%)
O 12
14.0%
G 11
12.8%
M 8
9.3%
T 8
9.3%
C 7
 
8.1%
L 6
 
7.0%
D 4
 
4.7%
A 4
 
4.7%
E 4
 
4.7%
W 3
 
3.5%
Other values (12) 19
22.1%
Decimal Number
ValueCountFrequency (%)
1 254
24.1%
0 155
14.7%
2 138
13.1%
4 91
 
8.6%
3 86
 
8.2%
8 74
 
7.0%
5 67
 
6.4%
9 65
 
6.2%
6 65
 
6.2%
7 59
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 2668
51.9%
/ 1844
35.8%
: 614
 
11.9%
@ 9
 
0.2%
# 4
 
0.1%
; 3
 
0.1%
" 1
 
< 0.1%
? 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 24446
76.5%
Common 6571
 
20.6%
Hangul 940
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 67
 
7.1%
켓 63
 
6.7%
션 58
 
6.2%
지 56
 
6.0%
가 52
 
5.5%
옥 49
 
5.2%
번 49
 
5.2%
거 19
 
2.0%
제 17
 
1.8%
팡 17
 
1.8%
Other values (206) 493
52.4%
Latin
ValueCountFrequency (%)
o 2612
 
10.7%
t 2122
 
8.7%
a 1867
 
7.6%
e 1773
 
7.3%
r 1744
 
7.1%
w 1705
 
7.0%
m 1575
 
6.4%
c 1419
 
5.8%
n 1228
 
5.0%
s 1132
 
4.6%
Other values (38) 7269
29.7%
Common
ValueCountFrequency (%)
. 2668
40.6%
/ 1844
28.1%
: 614
 
9.3%
1 254
 
3.9%
180
 
2.7%
0 155
 
2.4%
2 138
 
2.1%
4 91
 
1.4%
- 90
 
1.4%
3 86
 
1.3%
Other values (14) 451
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31017
97.1%
Hangul 940
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2668
 
8.6%
o 2612
 
8.4%
t 2122
 
6.8%
a 1867
 
6.0%
/ 1844
 
5.9%
e 1773
 
5.7%
r 1744
 
5.6%
w 1705
 
5.5%
m 1575
 
5.1%
c 1419
 
4.6%
Other values (62) 11688
37.7%
Hangul
ValueCountFrequency (%)
마 67
 
7.1%
켓 63
 
6.7%
션 58
 
6.2%
지 56
 
6.0%
가 52
 
5.5%
옥 49
 
5.2%
번 49
 
5.2%
거 19
 
2.0%
제 17
 
1.8%
팡 17
 
1.8%
Other values (206) 493
52.4%

취급품목
Text

Distinct73
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
2023-12-11T10:01:56.532812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length62
Mean length7.1448087
Min length1

Characters and Unicode

Total characters10460
Distinct characters51
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

Unique37 ?
Unique (%)2.5%

Sample

1st row의류/패션/잡화/뷰티 레져/여행/공연 상품권 종합몰
2nd row기타
3rd row종합몰 의류/패션/잡화/뷰티 기타
4th row기타
5th row기타
ValueCountFrequency (%)
기타 586
34.3%
의류/패션/잡화/뷰티 473
27.7%
건강/식품 197
 
11.5%
레져/여행/공연 154
 
9.0%
종합몰 122
 
7.2%
교육/도서/완구/오락 51
 
3.0%
컴퓨터/사무용품 34
 
2.0%
가구/수납용품 26
 
1.5%
가전 22
 
1.3%
자동차/자동차용품 17
 
1.0%
Other values (3) 24
 
1.4%
2023-12-11T10:01:56.819006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 2156
20.6%
기 586
 
5.6%
타 586
 
5.6%
의 473
 
4.5%
류 473
 
4.5%
패 473
 
4.5%
션 473
 
4.5%
잡 473
 
4.5%
화 473
 
4.5%
뷰 473
 
4.5%
Other values (41) 3821
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8046
76.9%
Other Punctuation 2156
 
20.6%
Space Separator 242
 
2.3%
Dash Punctuation 16
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 586
 
7.3%
타 586
 
7.3%
의 473
 
5.9%
류 473
 
5.9%
패 473
 
5.9%
션 473
 
5.9%
잡 473
 
5.9%
화 473
 
5.9%
뷰 473
 
5.9%
티 473
 
5.9%
Other values (38) 3090
38.4%
Other Punctuation
ValueCountFrequency (%)
/ 2156
100.0%
Space Separator
ValueCountFrequency (%)
242
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8046
76.9%
Common 2414
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 586
 
7.3%
타 586
 
7.3%
의 473
 
5.9%
류 473
 
5.9%
패 473
 
5.9%
션 473
 
5.9%
잡 473
 
5.9%
화 473
 
5.9%
뷰 473
 
5.9%
티 473
 
5.9%
Other values (38) 3090
38.4%
Common
ValueCountFrequency (%)
/ 2156
89.3%
242
 
10.0%
- 16
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8046
76.9%
ASCII 2414
 
23.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 2156
89.3%
242
 
10.0%
- 16
 
0.7%
Hangul
ValueCountFrequency (%)
기 586
 
7.3%
타 586
 
7.3%
의 473
 
5.9%
류 473
 
5.9%
패 473
 
5.9%
션 473
 
5.9%
잡 473
 
5.9%
화 473
 
5.9%
뷰 473
 
5.9%
티 473
 
5.9%
Other values (38) 3090
38.4%

취급품목세부사항
Text

Distinct446
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
2023-12-11T10:01:57.101459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length47
Mean length3.0095628
Min length1

Characters and Unicode

Total characters4406
Distinct characters361
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

Unique373 ?
Unique (%)25.5%

Sample

1st row-
2nd row건설컨설팅
3rd row대나무밥. 즉석조리식품
4th row펜션
5th row유아용품
ValueCountFrequency (%)
615
35.8%
민박 150
 
8.7%
펜션 97
 
5.6%
수산물 35
 
2.0%
숙박 16
 
0.9%
농산물 14
 
0.8%
건어물 13
 
0.8%
잡화 13
 
0.8%
등 13
 
0.8%
및 9
 
0.5%
Other values (505) 744
43.3%
2023-12-11T10:01:57.560480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 616
 
14.0%
342
 
7.8%
박 185
 
4.2%
민 157
 
3.6%
물 117
 
2.7%
품 116
 
2.6%
션 115
 
2.6%
펜 109
 
2.5%
산 78
 
1.8%
수 60
 
1.4%
Other values (351) 2511
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3326
75.5%
Dash Punctuation 616
 
14.0%
Space Separator 342
 
7.8%
Close Punctuation 44
 
1.0%
Open Punctuation 44
 
1.0%
Other Punctuation 16
 
0.4%
Decimal Number 12
 
0.3%
Lowercase Letter 5
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
박 185
 
5.6%
민 157
 
4.7%
물 117
 
3.5%
품 116
 
3.5%
션 115
 
3.5%
펜 109
 
3.3%
산 78
 
2.3%
수 60
 
1.8%
용 59
 
1.8%
류 49
 
1.5%
Other values (334) 2281
68.6%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
5 3
25.0%
0 2
16.7%
6 1
 
8.3%
8 1
 
8.3%
9 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
/ 8
50.0%
. 6
37.5%
: 2
 
12.5%
Lowercase Letter
ValueCountFrequency (%)
a 2
40.0%
x 2
40.0%
f 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 616
100.0%
Space Separator
ValueCountFrequency (%)
342
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3326
75.5%
Common 1074
 
24.4%
Latin 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
박 185
 
5.6%
민 157
 
4.7%
물 117
 
3.5%
품 116
 
3.5%
션 115
 
3.5%
펜 109
 
3.3%
산 78
 
2.3%
수 60
 
1.8%
용 59
 
1.8%
류 49
 
1.5%
Other values (334) 2281
68.6%
Common
ValueCountFrequency (%)
- 616
57.4%
342
31.8%
) 44
 
4.1%
( 44
 
4.1%
/ 8
 
0.7%
. 6
 
0.6%
1 4
 
0.4%
5 3
 
0.3%
0 2
 
0.2%
: 2
 
0.2%
Other values (3) 3
 
0.3%
Latin
ValueCountFrequency (%)
a 2
33.3%
x 2
33.3%
f 1
16.7%
F 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3326
75.5%
ASCII 1080
 
24.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 616
57.0%
342
31.7%
) 44
 
4.1%
( 44
 
4.1%
/ 8
 
0.7%
. 6
 
0.6%
1 4
 
0.4%
5 3
 
0.3%
0 2
 
0.2%
a 2
 
0.2%
Other values (7) 9
 
0.8%
Hangul
ValueCountFrequency (%)
박 185
 
5.6%
민 157
 
4.7%
물 117
 
3.5%
품 116
 
3.5%
션 115
 
3.5%
펜 109
 
3.3%
산 78
 
2.3%
수 60
 
1.8%
용 59
 
1.8%
류 49
 
1.5%
Other values (334) 2281
68.6%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.6 KiB
2019-02-28
1464 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-02-28
2nd row2019-02-28
3rd row2019-02-28
4th row2019-02-28
5th row2019-02-28

Common Values

ValueCountFrequency (%)
2019-02-28 1464
100.0%

Length

2023-12-11T10:01:57.708365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T10:01:57.801177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-02-28 1464
100.0%

Missing values

2023-12-11T10:01:52.642724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T10:01:52.788674image/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.
2023-12-11T10:01:52.884149image/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

신고일자대표자명대표자전화번호소재지주소도메인명취급품목취급품목세부사항기준일자
02014-11-26민현선02-2052-0001경상남도 거제시 연초면 연하해안로 284http://www.sunygolf.co.kr의류/패션/잡화/뷰티 레져/여행/공연 상품권 종합몰-2019-02-28
12012-05-24이정자02-425-0452경상남도 거제시 능포로 97， 3층 (장승포동， 케이티장승포빌딩)www.maxcongroup.com기타건설컨설팅2019-02-28
22014-10-21함인정031-675-8695경상남도 거제시 하청면 칠천로 903-14http://ingworld.co.kr종합몰 의류/패션/잡화/뷰티 기타대나무밥. 즉석조리식품2019-02-28
32015-03-26이성환051-262-8255경상남도 거제시 남부면 저구1길 15www.노을풍경.com기타펜션2019-02-28
42017-12-05이지민051-263-2603경상남도 거제시 장평1로 86， 17동 205호 (장평동， 삼성중공업사원아파트，삼성빌리지)http://luvthemoment.blog.me/기타유아용품2019-02-28
52015-01-30최현진051-514-7978경상남도 거제시 사등면 거제남서로 5310， 306호 (한신비치맨션)blog.naver.com/letsgoyuja종합몰 의류/패션/잡화/뷰티 레져/여행/공연 건강/식품-2019-02-28
62015-05-12윤장태054-931-3332경상남도 거제시 동부면 가배2길 14， 1층 (가배보건진료소)http://www.도토리.kr건강/식품도토리묵가루2019-02-28
72013-09-26서정악055-363-7751경상남도 거제시 동부면 학동3길 17www.buranop.com레져/여행/공연민박2019-02-28
82010-06-21이기대055-583-9389경상남도 거제시 장평3로 80， G동 336호 (장평동，보람)www.itembay.com기타게임2019-02-28
92013-09-02강태금055-628-1221경상남도 거제시 일운면 윤돌길 28www.harupension.co.kr레져/여행/공연펜션2019-02-28
신고일자대표자명대표자전화번호소재지주소도메인명취급품목취급품목세부사항기준일자
14542010-04-09김진선<NA>경상남도 거제시 옥수로2길 86 (능포동)옥션 지마켓의류/패션/잡화/뷰티신발2019-02-28
14552010-03-30장희현<NA>경상남도 거제시 장평3로3길 7， 104동 1001호 (장평동)www.g마켓.co.kr기타꽃2019-02-28
14562009-05-13제지현<NA>경상남도 거제시 둔덕면 거림3길 46ddsigol.co.kr 둔덕시골.kr건강/식품농촌체험 숙박2019-02-28
14572009-05-07안은욱<NA>경상남도 거제시 고현로 117， 중앙빌딩 B동 107호 (고현동)11st.co.kr의류/패션/잡화/뷰티-2019-02-28
14582008-10-10이동훈<NA>경상남도 거제시 남부면 대포길 32//geojebada.net기타민박2019-02-28
14592008-03-13탁경기<NA>경상남도 거제시 거제중앙로31길 19 (고현동，웨딩블랑 1층)http://www.bstour.co.kr레져/여행/공연여행2019-02-28
14602008-01-28허동찬<NA>경상남도 거제시 거제대로 3708， 상가동 201호 (옥포동， 미소안아파트)www.tourcm.com레져/여행/공연여행2019-02-28
14612006-12-04박은주<NA>경상남도 거제시 연초면 연사리 745www.daum.net/cutibebe의류/패션/잡화/뷰티-2019-02-28
14622005-08-19고우식외 1명<NA>경상남도 거제시 고현로14길 43 (고현동)nara09-depot.com종합몰-2019-02-28
14632005-04-25김정석，김현아<NA>경상남도 거제시 사등면 모래실길 136， 2층우체국쇼핑몰(http://mall.epost.go.kr)건강/식품생선 (우체국쇼핑몰 운영중)2019-02-28