Overview

Dataset statistics

Number of variables6
Number of observations1580
Missing cells86
Missing cells (%)0.9%
Duplicate rows4
Duplicate rows (%)0.3%
Total size in memory74.2 KiB
Average record size in memory48.1 B

Variable types

Text5
Categorical1

Dataset

Description충청남도 금산군 통신 판매 업체의 법인 또는 상호, 대표자명, 소재지 주소, 도메인, 취급품목, 데이터기준일 안내 데이터입니다.
URLhttps://www.data.go.kr/data/15117428/fileData.do

Alerts

데이터기준일 has constant value ""Constant
Dataset has 4 (0.3%) duplicate rowsDuplicates
도메인명 has 86 (5.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:04:45.551023
Analysis finished2023-12-12 13:04:46.681290
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct1538
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
2023-12-12T22:04:46.945634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length29
Mean length6.7746835
Min length2

Characters and Unicode

Total characters10704
Distinct characters666
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1508 ?
Unique (%)95.4%

Sample

1st row금성종합상사
2nd row위너캠핑카
3rd row두루다나
4th row연리지건강생활
5th row더뉴마켓
ValueCountFrequency (%)
주식회사 141
 
7.1%
농업회사법인 64
 
3.2%
16
 
0.8%
영농조합법인 13
 
0.7%
유한회사 8
 
0.4%
금산수삼센터 8
 
0.4%
협동조합 7
 
0.4%
금산수삼시장 5
 
0.3%
금산홍삼마을 5
 
0.3%
금산인삼 4
 
0.2%
Other values (1641) 1713
86.3%
2023-12-12T22:04:47.445584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
406
 
3.8%
377
 
3.5%
370
 
3.5%
325
 
3.0%
277
 
2.6%
268
 
2.5%
268
 
2.5%
259
 
2.4%
255
 
2.4%
219
 
2.0%
Other values (656) 7680
71.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9362
87.5%
Space Separator 406
 
3.8%
Lowercase Letter 246
 
2.3%
Uppercase Letter 234
 
2.2%
Close Punctuation 151
 
1.4%
Open Punctuation 151
 
1.4%
Decimal Number 119
 
1.1%
Other Punctuation 17
 
0.2%
Other Symbol 11
 
0.1%
Dash Punctuation 5
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
377
 
4.0%
370
 
4.0%
325
 
3.5%
277
 
3.0%
268
 
2.9%
268
 
2.9%
259
 
2.8%
255
 
2.7%
219
 
2.3%
213
 
2.3%
Other values (587) 6531
69.8%
Uppercase Letter
ValueCountFrequency (%)
A 23
 
9.8%
E 19
 
8.1%
S 18
 
7.7%
N 17
 
7.3%
O 17
 
7.3%
R 13
 
5.6%
I 13
 
5.6%
K 12
 
5.1%
T 12
 
5.1%
D 11
 
4.7%
Other values (15) 79
33.8%
Lowercase Letter
ValueCountFrequency (%)
e 34
13.8%
o 30
12.2%
a 22
 
8.9%
r 20
 
8.1%
t 16
 
6.5%
i 15
 
6.1%
n 13
 
5.3%
s 13
 
5.3%
l 13
 
5.3%
m 12
 
4.9%
Other values (14) 58
23.6%
Decimal Number
ValueCountFrequency (%)
1 22
18.5%
2 20
16.8%
5 15
12.6%
4 13
10.9%
3 12
10.1%
6 12
10.1%
9 7
 
5.9%
7 7
 
5.9%
8 6
 
5.0%
0 5
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 10
58.8%
& 6
35.3%
/ 1
 
5.9%
Space Separator
ValueCountFrequency (%)
406
100.0%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Other Symbol
ValueCountFrequency (%)
11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9372
87.6%
Common 851
 
8.0%
Latin 480
 
4.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
377
 
4.0%
370
 
3.9%
325
 
3.5%
277
 
3.0%
268
 
2.9%
268
 
2.9%
259
 
2.8%
255
 
2.7%
219
 
2.3%
213
 
2.3%
Other values (587) 6541
69.8%
Latin
ValueCountFrequency (%)
e 34
 
7.1%
o 30
 
6.2%
A 23
 
4.8%
a 22
 
4.6%
r 20
 
4.2%
E 19
 
4.0%
S 18
 
3.8%
N 17
 
3.5%
O 17
 
3.5%
t 16
 
3.3%
Other values (39) 264
55.0%
Common
ValueCountFrequency (%)
406
47.7%
) 151
 
17.7%
( 151
 
17.7%
1 22
 
2.6%
2 20
 
2.4%
5 15
 
1.8%
4 13
 
1.5%
3 12
 
1.4%
6 12
 
1.4%
. 10
 
1.2%
Other values (9) 39
 
4.6%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9361
87.5%
ASCII 1329
 
12.4%
None 13
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
406
30.5%
) 151
 
11.4%
( 151
 
11.4%
e 34
 
2.6%
o 30
 
2.3%
A 23
 
1.7%
a 22
 
1.7%
1 22
 
1.7%
2 20
 
1.5%
r 20
 
1.5%
Other values (56) 450
33.9%
Hangul
ValueCountFrequency (%)
377
 
4.0%
370
 
4.0%
325
 
3.5%
277
 
3.0%
268
 
2.9%
268
 
2.9%
259
 
2.8%
255
 
2.7%
219
 
2.3%
213
 
2.3%
Other values (586) 6530
69.8%
None
ValueCountFrequency (%)
11
84.6%
_ 1
 
7.7%
´ 1
 
7.7%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct1346
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
2023-12-12T22:04:47.811758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length3
Mean length3.0772152
Min length2

Characters and Unicode

Total characters4862
Distinct characters240
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

Unique1200 ?
Unique (%)75.9%

Sample

1st row오민철
2nd row강혜림
3rd row김두성
4th row이지숙
5th row이서준
ValueCountFrequency (%)
이형준 32
 
2.0%
남명영 20
 
1.3%
박남희 5
 
0.3%
정훈교 4
 
0.3%
장초혜 4
 
0.3%
길태후 4
 
0.3%
장영성 4
 
0.3%
이서진 4
 
0.3%
김동현 4
 
0.3%
김정민 4
 
0.3%
Other values (1343) 1502
94.6%
2023-12-12T22:04:48.375328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
343
 
7.1%
253
 
5.2%
170
 
3.5%
161
 
3.3%
149
 
3.1%
106
 
2.2%
100
 
2.1%
83
 
1.7%
83
 
1.7%
77
 
1.6%
Other values (230) 3337
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4746
97.6%
Uppercase Letter 85
 
1.7%
Other Punctuation 18
 
0.4%
Space Separator 7
 
0.1%
Lowercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
343
 
7.2%
253
 
5.3%
170
 
3.6%
161
 
3.4%
149
 
3.1%
106
 
2.2%
100
 
2.1%
83
 
1.7%
83
 
1.7%
77
 
1.6%
Other values (204) 3221
67.9%
Uppercase Letter
ValueCountFrequency (%)
A 19
22.4%
K 8
9.4%
U 7
 
8.2%
Y 7
 
8.2%
O 7
 
8.2%
I 6
 
7.1%
S 6
 
7.1%
N 5
 
5.9%
H 3
 
3.5%
M 3
 
3.5%
Other values (9) 14
16.5%
Lowercase Letter
ValueCountFrequency (%)
n 2
33.3%
a 1
16.7%
g 1
16.7%
i 1
16.7%
o 1
16.7%
Other Punctuation
ValueCountFrequency (%)
18
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4746
97.6%
Latin 91
 
1.9%
Common 25
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
343
 
7.2%
253
 
5.3%
170
 
3.6%
161
 
3.4%
149
 
3.1%
106
 
2.2%
100
 
2.1%
83
 
1.7%
83
 
1.7%
77
 
1.6%
Other values (204) 3221
67.9%
Latin
ValueCountFrequency (%)
A 19
20.9%
K 8
 
8.8%
U 7
 
7.7%
Y 7
 
7.7%
O 7
 
7.7%
I 6
 
6.6%
S 6
 
6.6%
N 5
 
5.5%
H 3
 
3.3%
M 3
 
3.3%
Other values (14) 20
22.0%
Common
ValueCountFrequency (%)
18
72.0%
7
 
28.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4746
97.6%
ASCII 98
 
2.0%
None 18
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
343
 
7.2%
253
 
5.3%
170
 
3.6%
161
 
3.4%
149
 
3.1%
106
 
2.2%
100
 
2.1%
83
 
1.7%
83
 
1.7%
77
 
1.6%
Other values (204) 3221
67.9%
ASCII
ValueCountFrequency (%)
A 19
19.4%
K 8
 
8.2%
U 7
 
7.1%
Y 7
 
7.1%
7
 
7.1%
O 7
 
7.1%
I 6
 
6.1%
S 6
 
6.1%
N 5
 
5.1%
H 3
 
3.1%
Other values (15) 23
23.5%
None
ValueCountFrequency (%)
18
100.0%
Distinct1382
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
2023-12-12T22:04:48.703984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length48
Mean length24.65443
Min length16

Characters and Unicode

Total characters38954
Distinct characters379
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1255 ?
Unique (%)79.4%

Sample

1st row충청남도 금산군 추부면 서대산로 26
2nd row충청남도 금산군 복수면 복수로 123
3rd row충청남도 금산군 제원면 동곡1길 11
4th row충청남도 금산군 군북면 시두물길 29, 새마을창고 1층
5th row충청남도 금산군 군북면 복거리길 71, 1층
ValueCountFrequency (%)
금산군 1571
 
17.5%
충청남도 1494
 
16.7%
금산읍 711
 
7.9%
추부면 238
 
2.7%
복수면 122
 
1.4%
1층 115
 
1.3%
금성면 111
 
1.2%
인삼약초로 106
 
1.2%
진산면 93
 
1.0%
금산로 89
 
1.0%
Other values (1659) 4321
48.2%
2023-12-12T22:04:49.258408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7395
19.0%
2687
 
6.9%
2642
 
6.8%
1710
 
4.4%
1687
 
4.3%
1577
 
4.0%
1549
 
4.0%
1520
 
3.9%
1 1466
 
3.8%
2 872
 
2.2%
Other values (369) 15849
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24073
61.8%
Space Separator 7395
 
19.0%
Decimal Number 6051
 
15.5%
Other Punctuation 537
 
1.4%
Dash Punctuation 479
 
1.2%
Open Punctuation 191
 
0.5%
Close Punctuation 191
 
0.5%
Uppercase Letter 29
 
0.1%
Lowercase Letter 7
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2687
 
11.2%
2642
 
11.0%
1710
 
7.1%
1687
 
7.0%
1577
 
6.6%
1549
 
6.4%
1520
 
6.3%
865
 
3.6%
834
 
3.5%
724
 
3.0%
Other values (341) 8278
34.4%
Decimal Number
ValueCountFrequency (%)
1 1466
24.2%
2 872
14.4%
3 660
10.9%
4 638
10.5%
5 508
 
8.4%
0 504
 
8.3%
6 432
 
7.1%
7 335
 
5.5%
8 324
 
5.4%
9 312
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
A 13
44.8%
B 3
 
10.3%
G 3
 
10.3%
T 2
 
6.9%
P 2
 
6.9%
L 2
 
6.9%
N 1
 
3.4%
E 1
 
3.4%
C 1
 
3.4%
D 1
 
3.4%
Other Punctuation
ValueCountFrequency (%)
536
99.8%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
7395
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 479
100.0%
Open Punctuation
ValueCountFrequency (%)
( 191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 191
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24074
61.8%
Common 14844
38.1%
Latin 36
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2687
 
11.2%
2642
 
11.0%
1710
 
7.1%
1687
 
7.0%
1577
 
6.6%
1549
 
6.4%
1520
 
6.3%
865
 
3.6%
834
 
3.5%
724
 
3.0%
Other values (342) 8279
34.4%
Common
ValueCountFrequency (%)
7395
49.8%
1 1466
 
9.9%
2 872
 
5.9%
3 660
 
4.4%
4 638
 
4.3%
536
 
3.6%
5 508
 
3.4%
0 504
 
3.4%
- 479
 
3.2%
6 432
 
2.9%
Other values (6) 1354
 
9.1%
Latin
ValueCountFrequency (%)
A 13
36.1%
e 7
19.4%
B 3
 
8.3%
G 3
 
8.3%
T 2
 
5.6%
P 2
 
5.6%
L 2
 
5.6%
N 1
 
2.8%
E 1
 
2.8%
C 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24073
61.8%
ASCII 14344
36.8%
None 537
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7395
51.6%
1 1466
 
10.2%
2 872
 
6.1%
3 660
 
4.6%
4 638
 
4.4%
5 508
 
3.5%
0 504
 
3.5%
- 479
 
3.3%
6 432
 
3.0%
7 335
 
2.3%
Other values (16) 1055
 
7.4%
Hangul
ValueCountFrequency (%)
2687
 
11.2%
2642
 
11.0%
1710
 
7.1%
1687
 
7.0%
1577
 
6.6%
1549
 
6.4%
1520
 
6.3%
865
 
3.6%
834
 
3.5%
724
 
3.0%
Other values (341) 8278
34.4%
None
ValueCountFrequency (%)
536
99.8%
1
 
0.2%

도메인명
Text

MISSING 

Distinct1046
Distinct (%)70.0%
Missing86
Missing (%)5.4%
Memory size12.5 KiB
2023-12-12T22:04:49.503310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length45
Mean length18.840696
Min length2

Characters and Unicode

Total characters28148
Distinct characters311
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

Unique987 ?
Unique (%)66.1%

Sample

1st rowhttp://smartstore.naver.com/venus-store
2nd row네이버스마트스토어/인터파크
3rd row네이버스마트스토어
4th row네이버스마트스토어
5th rowhttp://m.smartstore.naver.com/84655799
ValueCountFrequency (%)
네이버스마트스토어 73
 
4.3%
네이버 71
 
4.2%
옥션 56
 
3.3%
쿠팡 51
 
3.0%
스마트스토어 48
 
2.8%
11번가 35
 
2.1%
www.auction.co.kr 32
 
1.9%
www.coupang.com 29
 
1.7%
g마켓 29
 
1.7%
http 26
 
1.5%
Other values (1038) 1251
73.5%
2023-12-12T22:04:49.967558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 2258
 
8.0%
o 2030
 
7.2%
t 1792
 
6.4%
r 1635
 
5.8%
a 1577
 
5.6%
w 1571
 
5.6%
m 1466
 
5.2%
s 1464
 
5.2%
e 1329
 
4.7%
/ 1264
 
4.5%
Other values (301) 11762
41.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 20073
71.3%
Other Punctuation 3937
 
14.0%
Other Letter 2764
 
9.8%
Decimal Number 876
 
3.1%
Space Separator 239
 
0.8%
Uppercase Letter 141
 
0.5%
Connector Punctuation 48
 
0.2%
Dash Punctuation 42
 
0.1%
Open Punctuation 12
 
< 0.1%
Close Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
321
 
11.6%
230
 
8.3%
189
 
6.8%
177
 
6.4%
177
 
6.4%
170
 
6.2%
169
 
6.1%
145
 
5.2%
87
 
3.1%
64
 
2.3%
Other values (225) 1035
37.4%
Lowercase Letter
ValueCountFrequency (%)
o 2030
10.1%
t 1792
 
8.9%
r 1635
 
8.1%
a 1577
 
7.9%
w 1571
 
7.8%
m 1466
 
7.3%
s 1464
 
7.3%
e 1329
 
6.6%
c 1189
 
5.9%
n 1108
 
5.5%
Other values (16) 4912
24.5%
Uppercase Letter
ValueCountFrequency (%)
G 32
22.7%
D 11
 
7.8%
S 11
 
7.8%
A 8
 
5.7%
K 6
 
4.3%
B 5
 
3.5%
N 5
 
3.5%
Y 5
 
3.5%
P 5
 
3.5%
C 5
 
3.5%
Other values (15) 48
34.0%
Decimal Number
ValueCountFrequency (%)
1 190
21.7%
0 119
13.6%
2 108
12.3%
4 79
9.0%
3 76
 
8.7%
5 71
 
8.1%
7 69
 
7.9%
8 64
 
7.3%
9 51
 
5.8%
6 49
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 2258
57.4%
/ 1264
32.1%
: 401
 
10.2%
@ 8
 
0.2%
? 3
 
0.1%
" 1
 
< 0.1%
& 1
 
< 0.1%
# 1
 
< 0.1%
Connector Punctuation
ValueCountFrequency (%)
_ 47
97.9%
_ 1
 
2.1%
Space Separator
ValueCountFrequency (%)
239
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20214
71.8%
Common 5170
 
18.4%
Hangul 2764
 
9.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
321
 
11.6%
230
 
8.3%
189
 
6.8%
177
 
6.4%
177
 
6.4%
170
 
6.2%
169
 
6.1%
145
 
5.2%
87
 
3.1%
64
 
2.3%
Other values (225) 1035
37.4%
Latin
ValueCountFrequency (%)
o 2030
10.0%
t 1792
 
8.9%
r 1635
 
8.1%
a 1577
 
7.8%
w 1571
 
7.8%
m 1466
 
7.3%
s 1464
 
7.2%
e 1329
 
6.6%
c 1189
 
5.9%
n 1108
 
5.5%
Other values (41) 5053
25.0%
Common
ValueCountFrequency (%)
. 2258
43.7%
/ 1264
24.4%
: 401
 
7.8%
239
 
4.6%
1 190
 
3.7%
0 119
 
2.3%
2 108
 
2.1%
4 79
 
1.5%
3 76
 
1.5%
5 71
 
1.4%
Other values (15) 365
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25383
90.2%
Hangul 2763
 
9.8%
Compat Jamo 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2258
 
8.9%
o 2030
 
8.0%
t 1792
 
7.1%
r 1635
 
6.4%
a 1577
 
6.2%
w 1571
 
6.2%
m 1466
 
5.8%
s 1464
 
5.8%
e 1329
 
5.2%
/ 1264
 
5.0%
Other values (65) 8997
35.4%
Hangul
ValueCountFrequency (%)
321
 
11.6%
230
 
8.3%
189
 
6.8%
177
 
6.4%
177
 
6.4%
170
 
6.2%
169
 
6.1%
145
 
5.2%
87
 
3.1%
64
 
2.3%
Other values (224) 1034
37.4%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
_ 1
100.0%
Distinct106
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
2023-12-12T22:04:50.176988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length72
Mean length6.2702532
Min length1

Characters and Unicode

Total characters9907
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

Unique68 ?
Unique (%)4.3%

Sample

1st row종합몰
2nd row자동차/자동차용품
3rd row종합몰 성인/성인용품
4th row건강/식품
5th row종합몰
ValueCountFrequency (%)
건강/식품 708
35.8%
종합몰 377
19.1%
기타 360
18.2%
의류/패션/잡화/뷰티 184
 
9.3%
84
 
4.3%
레져/여행/공연 49
 
2.5%
가구/수납용품 47
 
2.4%
교육/도서/완구/오락 45
 
2.3%
자동차/자동차용품 44
 
2.2%
컴퓨터/사무용품 36
 
1.8%
Other values (3) 42
 
2.1%
2023-12-12T22:04:50.542108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 1624
16.4%
847
 
8.5%
708
 
7.1%
708
 
7.1%
708
 
7.1%
396
 
4.0%
377
 
3.8%
377
 
3.8%
377
 
3.8%
360
 
3.6%
Other values (41) 3425
34.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7803
78.8%
Other Punctuation 1624
 
16.4%
Space Separator 396
 
4.0%
Dash Punctuation 84
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
847
 
10.9%
708
 
9.1%
708
 
9.1%
708
 
9.1%
377
 
4.8%
377
 
4.8%
377
 
4.8%
360
 
4.6%
360
 
4.6%
184
 
2.4%
Other values (38) 2797
35.8%
Other Punctuation
ValueCountFrequency (%)
/ 1624
100.0%
Space Separator
ValueCountFrequency (%)
396
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7803
78.8%
Common 2104
 
21.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
847
 
10.9%
708
 
9.1%
708
 
9.1%
708
 
9.1%
377
 
4.8%
377
 
4.8%
377
 
4.8%
360
 
4.6%
360
 
4.6%
184
 
2.4%
Other values (38) 2797
35.8%
Common
ValueCountFrequency (%)
/ 1624
77.2%
396
 
18.8%
- 84
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7803
78.8%
ASCII 2104
 
21.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 1624
77.2%
396
 
18.8%
- 84
 
4.0%
Hangul
ValueCountFrequency (%)
847
 
10.9%
708
 
9.1%
708
 
9.1%
708
 
9.1%
377
 
4.8%
377
 
4.8%
377
 
4.8%
360
 
4.6%
360
 
4.6%
184
 
2.4%
Other values (38) 2797
35.8%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
2023-07-28
1580 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-28
2nd row2023-07-28
3rd row2023-07-28
4th row2023-07-28
5th row2023-07-28

Common Values

ValueCountFrequency (%)
2023-07-28 1580
100.0%

Length

2023-12-12T22:04:50.696336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:04:50.809034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-28 1580
100.0%

Missing values

2023-12-12T22:04:46.477139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:04:46.620342image/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

법인또는상호대표자명소재지 도로명주소도메인명취급품목데이터기준일
0금성종합상사오민철충청남도 금산군 추부면 서대산로 26http://smartstore.naver.com/venus-store종합몰2023-07-28
1위너캠핑카강혜림충청남도 금산군 복수면 복수로 123<NA>자동차/자동차용품2023-07-28
2두루다나김두성충청남도 금산군 제원면 동곡1길 11네이버스마트스토어/인터파크종합몰 성인/성인용품2023-07-28
3연리지건강생활이지숙충청남도 금산군 군북면 시두물길 29, 새마을창고 1층네이버스마트스토어건강/식품2023-07-28
4더뉴마켓이서준충청남도 금산군 군북면 복거리길 71, 1층네이버스마트스토어종합몰2023-07-28
5임농부임혁중충청남도 금산군 금성면 음전2길 8http://m.smartstore.naver.com/84655799건강/식품2023-07-28
6화유일기 꽃모종농장정진영충청남도 금산군 진산면 부암리 115-1smartstore.naver.com/hwayoudiaryflowerfarm기타2023-07-28
7건강나라유경조충청남도 금산군 금산읍 비단로 101, 풍년건강원 104호jinsaengscience.naver.com건강/식품2023-07-28
8인셀덤별하김은화충청남도 금산군 금산읍 군청5길 25, 303호 (LG빌리지)mail.riman.co.kr종합몰2023-07-28
9(주)더봄푸드김경희충청남도 금산군 추부면 하마전중앙로 4네이버 스마트스토어건강/식품2023-07-28
법인또는상호대표자명소재지 도로명주소도메인명취급품목데이터기준일
1570두리화장품 (주)이병수충청남도 금산군 추부면 다복로 588www.doorimall.net종합몰2023-07-28
1571삼원식품산업㈜이종인충남 금산군 군북면 두두리 493-1http://-2023-07-28
1572한국프론테크전정배충남 금산군 진산면 읍내리 5-2http://-2023-07-28
1573두리화장품김홍둘충남 금산군 복수면 다복리 159-1http://-2023-07-28
1574금산인삼약초인삼영농조합정여석충남 금산군 금성면 도곡리 184http://-2023-07-28
1575한밭식품이용훈충남 금산군 추부면 서대리 462-3http://-2023-07-28
1576금성농업협동조합양현두충남 금산군 금성면 파초리 291-10http://-2023-07-28
1577은해인삼사한승오충청남도 금산군 금산읍 인삼약초로 45, 금산국제인삼시장조합, 약초상가http://건강/식품2023-07-28
1578금산농업협동조합김일생충청남도 금산군 금산읍 비선길 37www.nhshopping.co.kr컴퓨터/사무용품 종합몰2023-07-28
1579백산식품길부섭충남 금산군 부리면 현내리 783-6http://-2023-07-28

Duplicate rows

Most frequently occurring

법인또는상호대표자명소재지 도로명주소도메인명취급품목데이터기준일# duplicates
0가온(GAON)김호택충청남도 금산군 금산읍 비범로 5, 3층쿠팡 네이버스토어컴퓨터/사무용품 건강/식품2023-07-282
1다년초사랑농원정영란충청남도 금산군 남일면 대홍로 496cafe.daum.net/eldass기타2023-07-282
2동성인삼식품김경숙충청남도 금산군 금산읍 군청2길 21https://smartstore.naver.com/dongsoung건강/식품2023-07-282
3주식회사 호성가김성은충청남도 금산군 금산읍 건삼전3길 16, 2층www.redbeauty.co.kr건강/식품 의류/패션/잡화/뷰티2023-07-282