Overview

Dataset statistics

Number of variables10
Number of observations2326
Missing cells44
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory181.8 KiB
Average record size in memory80.1 B

Variable types

Categorical3
Text6
DateTime1

Dataset

Description파주시 건강식품 통신판매업 인허가 현황 데이터로서 상호명, 대표자명, 통신판매번호, 소재지주소, URL주소 등의 정보를 제공합니다.
Author경기도 파주시
URLhttps://www.data.go.kr/data/15085600/fileData.do

Alerts

시군명 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
인터넷주소 has 44 (1.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 02:07:26.267908
Analysis finished2023-12-12 02:07:27.892587
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
파주시
2326 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
파주시 2326
100.0%

Length

2023-12-12T11:07:27.972584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:07:28.079722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
파주시 2326
100.0%
Distinct2306
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
2023-12-12T11:07:28.437650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length7.5980224
Min length1

Characters and Unicode

Total characters17673
Distinct characters808
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2286 ?
Unique (%)98.3%

Sample

1st row에스아이컴퍼니
2nd row버터베른
3rd row밀리어네어
4th row차미미연구소
5th row참고을누룽지통닭
ValueCountFrequency (%)
주식회사 376
 
11.5%
농업회사법인 36
 
1.1%
30
 
0.9%
co 17
 
0.5%
ltd 17
 
0.5%
corp 7
 
0.2%
7
 
0.2%
커피 7
 
0.2%
inc 6
 
0.2%
company 6
 
0.2%
Other values (2615) 2757
84.4%
2023-12-12T11:07:28.995177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
952
 
5.4%
634
 
3.6%
604
 
3.4%
505
 
2.9%
469
 
2.7%
469
 
2.7%
465
 
2.6%
( 426
 
2.4%
) 425
 
2.4%
271
 
1.5%
Other values (798) 12453
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13445
76.1%
Lowercase Letter 1129
 
6.4%
Uppercase Letter 1017
 
5.8%
Space Separator 952
 
5.4%
Open Punctuation 427
 
2.4%
Close Punctuation 426
 
2.4%
Decimal Number 154
 
0.9%
Other Punctuation 102
 
0.6%
Dash Punctuation 9
 
0.1%
Other Symbol 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
634
 
4.7%
604
 
4.5%
505
 
3.8%
469
 
3.5%
469
 
3.5%
465
 
3.5%
271
 
2.0%
201
 
1.5%
192
 
1.4%
171
 
1.3%
Other values (725) 9464
70.4%
Lowercase Letter
ValueCountFrequency (%)
e 148
13.1%
o 131
11.6%
a 107
 
9.5%
n 90
 
8.0%
t 75
 
6.6%
r 69
 
6.1%
i 68
 
6.0%
l 67
 
5.9%
s 48
 
4.3%
d 42
 
3.7%
Other values (15) 284
25.2%
Uppercase Letter
ValueCountFrequency (%)
C 80
 
7.9%
O 75
 
7.4%
A 75
 
7.4%
S 69
 
6.8%
E 61
 
6.0%
N 52
 
5.1%
L 50
 
4.9%
T 50
 
4.9%
M 49
 
4.8%
I 49
 
4.8%
Other values (15) 407
40.0%
Decimal Number
ValueCountFrequency (%)
1 33
21.4%
2 23
14.9%
3 22
14.3%
0 20
13.0%
9 15
9.7%
4 11
 
7.1%
7 10
 
6.5%
5 10
 
6.5%
8 8
 
5.2%
6 2
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 62
60.8%
& 34
33.3%
' 4
 
3.9%
/ 1
 
1.0%
! 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 426
99.8%
[ 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 425
99.8%
] 1
 
0.2%
Space Separator
ValueCountFrequency (%)
952
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Other Symbol
ValueCountFrequency (%)
8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13446
76.1%
Latin 2146
 
12.1%
Common 2074
 
11.7%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
634
 
4.7%
604
 
4.5%
505
 
3.8%
469
 
3.5%
469
 
3.5%
465
 
3.5%
271
 
2.0%
201
 
1.5%
192
 
1.4%
171
 
1.3%
Other values (720) 9465
70.4%
Latin
ValueCountFrequency (%)
e 148
 
6.9%
o 131
 
6.1%
a 107
 
5.0%
n 90
 
4.2%
C 80
 
3.7%
O 75
 
3.5%
t 75
 
3.5%
A 75
 
3.5%
S 69
 
3.2%
r 69
 
3.2%
Other values (40) 1227
57.2%
Common
ValueCountFrequency (%)
952
45.9%
( 426
20.5%
) 425
20.5%
. 62
 
3.0%
& 34
 
1.6%
1 33
 
1.6%
2 23
 
1.1%
3 22
 
1.1%
0 20
 
1.0%
9 15
 
0.7%
Other values (12) 62
 
3.0%
Han
ValueCountFrequency (%)
2
28.6%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13438
76.0%
ASCII 4220
 
23.9%
None 8
 
< 0.1%
CJK 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
952
22.6%
( 426
 
10.1%
) 425
 
10.1%
e 148
 
3.5%
o 131
 
3.1%
a 107
 
2.5%
n 90
 
2.1%
C 80
 
1.9%
O 75
 
1.8%
t 75
 
1.8%
Other values (62) 1711
40.5%
Hangul
ValueCountFrequency (%)
634
 
4.7%
604
 
4.5%
505
 
3.8%
469
 
3.5%
469
 
3.5%
465
 
3.5%
271
 
2.0%
201
 
1.5%
192
 
1.4%
171
 
1.3%
Other values (719) 9457
70.4%
None
ValueCountFrequency (%)
8
100.0%
CJK
ValueCountFrequency (%)
2
28.6%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Distinct2136
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
2023-12-12T11:07:29.413750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length3
Mean length3.1969046
Min length2

Characters and Unicode

Total characters7436
Distinct characters298
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1985 ?
Unique (%)85.3%

Sample

1st row박흥재
2nd row심윤정
3rd row최진실
4th row차민정
5th row김연숙
ValueCountFrequency (%)
정은미 6
 
0.3%
김윤희 4
 
0.2%
이미영 4
 
0.2%
김지은 4
 
0.2%
김지혜 4
 
0.2%
이진희 4
 
0.2%
김찬욱 3
 
0.1%
이유정 3
 
0.1%
김민수 3
 
0.1%
이세정 3
 
0.1%
Other values (2153) 2323
98.4%
2023-12-12T11:07:29.960540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
513
 
6.9%
359
 
4.8%
311
 
4.2%
233
 
3.1%
183
 
2.5%
152
 
2.0%
148
 
2.0%
144
 
1.9%
138
 
1.9%
131
 
1.8%
Other values (288) 5124
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7089
95.3%
Uppercase Letter 229
 
3.1%
Other Punctuation 54
 
0.7%
Space Separator 35
 
0.5%
Lowercase Letter 15
 
0.2%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
513
 
7.2%
359
 
5.1%
311
 
4.4%
233
 
3.3%
183
 
2.6%
152
 
2.1%
148
 
2.1%
144
 
2.0%
138
 
1.9%
131
 
1.8%
Other values (247) 4777
67.4%
Uppercase Letter
ValueCountFrequency (%)
A 30
13.1%
N 27
11.8%
I 26
11.4%
H 19
 
8.3%
G 12
 
5.2%
U 12
 
5.2%
T 11
 
4.8%
L 10
 
4.4%
O 10
 
4.4%
S 9
 
3.9%
Other values (13) 63
27.5%
Lowercase Letter
ValueCountFrequency (%)
i 2
13.3%
n 2
13.3%
a 2
13.3%
m 1
6.7%
r 1
6.7%
o 1
6.7%
d 1
6.7%
v 1
6.7%
e 1
6.7%
h 1
6.7%
Other values (2) 2
13.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Other Punctuation
ValueCountFrequency (%)
54
100.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7089
95.3%
Latin 244
 
3.3%
Common 103
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
513
 
7.2%
359
 
5.1%
311
 
4.4%
233
 
3.3%
183
 
2.6%
152
 
2.1%
148
 
2.1%
144
 
2.0%
138
 
1.9%
131
 
1.8%
Other values (247) 4777
67.4%
Latin
ValueCountFrequency (%)
A 30
 
12.3%
N 27
 
11.1%
I 26
 
10.7%
H 19
 
7.8%
G 12
 
4.9%
U 12
 
4.9%
T 11
 
4.5%
L 10
 
4.1%
O 10
 
4.1%
S 9
 
3.7%
Other values (25) 78
32.0%
Common
ValueCountFrequency (%)
54
52.4%
35
34.0%
( 6
 
5.8%
) 6
 
5.8%
2 1
 
1.0%
1 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7089
95.3%
ASCII 293
 
3.9%
None 54
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
513
 
7.2%
359
 
5.1%
311
 
4.4%
233
 
3.3%
183
 
2.6%
152
 
2.1%
148
 
2.1%
144
 
2.0%
138
 
1.9%
131
 
1.8%
Other values (247) 4777
67.4%
None
ValueCountFrequency (%)
54
100.0%
ASCII
ValueCountFrequency (%)
35
 
11.9%
A 30
 
10.2%
N 27
 
9.2%
I 26
 
8.9%
H 19
 
6.5%
G 12
 
4.1%
U 12
 
4.1%
T 11
 
3.8%
L 10
 
3.4%
O 10
 
3.4%
Other values (30) 101
34.5%
Distinct2323
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
2023-12-12T11:07:30.224994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length13.905417
Min length4

Characters and Unicode

Total characters32344
Distinct characters21
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

Unique2320 ?
Unique (%)99.7%

Sample

1st row2023-경기파주-4663
2nd row2023-경기파주-4658
3rd row2023-경기파주-4640
4th row2023-경기파주-4638
5th row2023-경기파주-4620
ValueCountFrequency (%)
2022-경기파주-1558 2
 
0.1%
2021-경기파주-2264 2
 
0.1%
2021-경기파주-1078 2
 
0.1%
파주-239 1
 
< 0.1%
2019-경기파주-1439 1
 
< 0.1%
2019-경기파주-1003 1
 
< 0.1%
2019-경기파주-1189 1
 
< 0.1%
2019-경기파주-1093 1
 
< 0.1%
2019-경기파주-1104 1
 
< 0.1%
2019-경기파주-1173 1
 
< 0.1%
Other values (2314) 2314
99.4%
2023-12-12T11:07:30.632407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 5341
16.5%
- 4614
14.3%
0 4133
12.8%
1 2597
8.0%
2312
7.1%
2312
7.1%
2299
7.1%
2298
7.1%
3 1401
 
4.3%
9 878
 
2.7%
Other values (11) 4159
12.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18503
57.2%
Other Letter 9226
28.5%
Dash Punctuation 4614
 
14.3%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 5341
28.9%
0 4133
22.3%
1 2597
14.0%
3 1401
 
7.6%
9 878
 
4.7%
4 875
 
4.7%
8 843
 
4.6%
6 843
 
4.6%
5 841
 
4.5%
7 751
 
4.1%
Other Letter
ValueCountFrequency (%)
2312
25.1%
2312
25.1%
2299
24.9%
2298
24.9%
1
 
< 0.1%
1
 
< 0.1%
1
 
< 0.1%
1
 
< 0.1%
1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 4614
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23118
71.5%
Hangul 9226
 
28.5%

Most frequent character per script

Common
ValueCountFrequency (%)
2 5341
23.1%
- 4614
20.0%
0 4133
17.9%
1 2597
11.2%
3 1401
 
6.1%
9 878
 
3.8%
4 875
 
3.8%
8 843
 
3.6%
6 843
 
3.6%
5 841
 
3.6%
Other values (2) 752
 
3.3%
Hangul
ValueCountFrequency (%)
2312
25.1%
2312
25.1%
2299
24.9%
2298
24.9%
1
 
< 0.1%
1
 
< 0.1%
1
 
< 0.1%
1
 
< 0.1%
1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23118
71.5%
Hangul 9226
 
28.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 5341
23.1%
- 4614
20.0%
0 4133
17.9%
1 2597
11.2%
3 1401
 
6.1%
9 878
 
3.8%
4 875
 
3.8%
8 843
 
3.6%
6 843
 
3.6%
5 841
 
3.6%
Other values (2) 752
 
3.3%
Hangul
ValueCountFrequency (%)
2312
25.1%
2312
25.1%
2299
24.9%
2298
24.9%
1
 
< 0.1%
1
 
< 0.1%
1
 
< 0.1%
1
 
< 0.1%
1
 
< 0.1%
Distinct2215
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
2023-12-12T11:07:31.007829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length50
Mean length32.009888
Min length17

Characters and Unicode

Total characters74455
Distinct characters461
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

Unique2124 ?
Unique (%)91.3%

Sample

1st row경기도 파주시 금정20길 19, 세성빌딩 504동 5층 205호 (금촌동)
2nd row경기도 파주시 청암로17번길 43, 110호 (목동동)
3rd row경기도 파주시 문산읍 통일로 1750, 103동 505호 (문산어울림)
4th row경기도 파주시 와석순환로192번길 39, 201호 (동패동)
5th row경기도 파주시 번뛰기길 23-18, 2동 101호 (야당동, 예일아트빌)
ValueCountFrequency (%)
경기도 2325
 
14.9%
파주시 2325
 
14.9%
1층 242
 
1.5%
야당동 228
 
1.5%
동패동 216
 
1.4%
탄현면 177
 
1.1%
금촌동 169
 
1.1%
목동동 156
 
1.0%
문산읍 151
 
1.0%
와동동 146
 
0.9%
Other values (2802) 9501
60.8%
2023-12-12T11:07:31.592711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13320
 
17.9%
1 3670
 
4.9%
3107
 
4.2%
2701
 
3.6%
2487
 
3.3%
2436
 
3.3%
2414
 
3.2%
2410
 
3.2%
2409
 
3.2%
0 2274
 
3.1%
Other values (451) 37227
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39636
53.2%
Decimal Number 15007
 
20.2%
Space Separator 13320
 
17.9%
Other Punctuation 2154
 
2.9%
Close Punctuation 1606
 
2.2%
Open Punctuation 1606
 
2.2%
Dash Punctuation 834
 
1.1%
Uppercase Letter 277
 
0.4%
Lowercase Letter 11
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3107
 
7.8%
2701
 
6.8%
2487
 
6.3%
2436
 
6.1%
2414
 
6.1%
2410
 
6.1%
2409
 
6.1%
1639
 
4.1%
1223
 
3.1%
1016
 
2.6%
Other values (404) 17794
44.9%
Uppercase Letter
ValueCountFrequency (%)
B 58
20.9%
A 55
19.9%
R 26
9.4%
P 21
 
7.6%
I 20
 
7.2%
K 18
 
6.5%
E 12
 
4.3%
S 8
 
2.9%
D 8
 
2.9%
F 8
 
2.9%
Other values (11) 43
15.5%
Decimal Number
ValueCountFrequency (%)
1 3670
24.5%
0 2274
15.2%
2 1984
13.2%
3 1528
10.2%
4 1322
 
8.8%
5 1086
 
7.2%
6 936
 
6.2%
7 935
 
6.2%
8 663
 
4.4%
9 609
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 2096
97.3%
50
 
2.3%
. 4
 
0.2%
# 3
 
0.1%
& 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
36.4%
a 2
18.2%
c 2
18.2%
b 2
18.2%
g 1
 
9.1%
Space Separator
ValueCountFrequency (%)
13320
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1606
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1606
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 834
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39636
53.2%
Common 34530
46.4%
Latin 289
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3107
 
7.8%
2701
 
6.8%
2487
 
6.3%
2436
 
6.1%
2414
 
6.1%
2410
 
6.1%
2409
 
6.1%
1639
 
4.1%
1223
 
3.1%
1016
 
2.6%
Other values (404) 17794
44.9%
Latin
ValueCountFrequency (%)
B 58
20.1%
A 55
19.0%
R 26
9.0%
P 21
 
7.3%
I 20
 
6.9%
K 18
 
6.2%
E 12
 
4.2%
S 8
 
2.8%
D 8
 
2.8%
F 8
 
2.8%
Other values (17) 55
19.0%
Common
ValueCountFrequency (%)
13320
38.6%
1 3670
 
10.6%
0 2274
 
6.6%
, 2096
 
6.1%
2 1984
 
5.7%
) 1606
 
4.7%
( 1606
 
4.7%
3 1528
 
4.4%
4 1322
 
3.8%
5 1086
 
3.1%
Other values (10) 4038
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39636
53.2%
ASCII 34768
46.7%
None 50
 
0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13320
38.3%
1 3670
 
10.6%
0 2274
 
6.5%
, 2096
 
6.0%
2 1984
 
5.7%
) 1606
 
4.6%
( 1606
 
4.6%
3 1528
 
4.4%
4 1322
 
3.8%
5 1086
 
3.1%
Other values (35) 4276
 
12.3%
Hangul
ValueCountFrequency (%)
3107
 
7.8%
2701
 
6.8%
2487
 
6.3%
2436
 
6.1%
2414
 
6.1%
2410
 
6.1%
2409
 
6.1%
1639
 
4.1%
1223
 
3.1%
1016
 
2.6%
Other values (404) 17794
44.9%
None
ValueCountFrequency (%)
50
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

인터넷주소
Text

MISSING 

Distinct1428
Distinct (%)62.6%
Missing44
Missing (%)1.9%
Memory size18.3 KiB
2023-12-12T11:07:31.883385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length150
Median length56
Mean length18.592025
Min length2

Characters and Unicode

Total characters42427
Distinct characters306
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1358 ?
Unique (%)59.5%

Sample

1st rowhttp://smartstore.naver.com/si-company
2nd rowhttp://www.instagram.com/brot_backen
3rd row셀리진
4th row네이버스마트스토어
5th row네이버스마트스토어
ValueCountFrequency (%)
네이버 310
 
10.0%
쿠팡 208
 
6.7%
스토어 191
 
6.1%
스마트 186
 
6.0%
오픈마켓 134
 
4.3%
스마트스토어 122
 
3.9%
네이버스마트스토어 110
 
3.5%
77
 
2.5%
옥션 71
 
2.3%
g마켓 53
 
1.7%
Other values (1363) 1646
53.0%
2023-12-12T11:07:32.398511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 2866
 
6.8%
t 2787
 
6.6%
. 2697
 
6.4%
r 2380
 
5.6%
a 2147
 
5.1%
e 2139
 
5.0%
s 2128
 
5.0%
/ 2113
 
5.0%
m 1978
 
4.7%
w 1649
 
3.9%
Other values (296) 19543
46.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 27860
65.7%
Other Letter 6813
 
16.1%
Other Punctuation 5500
 
13.0%
Space Separator 847
 
2.0%
Decimal Number 822
 
1.9%
Uppercase Letter 330
 
0.8%
Connector Punctuation 107
 
0.3%
Dash Punctuation 86
 
0.2%
Open Punctuation 30
 
0.1%
Close Punctuation 29
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
956
14.0%
717
10.5%
510
 
7.5%
502
 
7.4%
500
 
7.3%
494
 
7.3%
493
 
7.2%
432
 
6.3%
279
 
4.1%
228
 
3.3%
Other values (219) 1702
25.0%
Lowercase Letter
ValueCountFrequency (%)
o 2866
10.3%
t 2787
 
10.0%
r 2380
 
8.5%
a 2147
 
7.7%
e 2139
 
7.7%
s 2128
 
7.6%
m 1978
 
7.1%
w 1649
 
5.9%
c 1499
 
5.4%
n 1306
 
4.7%
Other values (16) 6981
25.1%
Uppercase Letter
ValueCountFrequency (%)
G 83
25.2%
C 21
 
6.4%
H 17
 
5.2%
M 17
 
5.2%
D 16
 
4.8%
N 16
 
4.8%
S 13
 
3.9%
R 11
 
3.3%
P 10
 
3.0%
L 10
 
3.0%
Other values (16) 116
35.2%
Decimal Number
ValueCountFrequency (%)
1 264
32.1%
2 106
12.9%
0 92
 
11.2%
4 66
 
8.0%
3 60
 
7.3%
8 54
 
6.6%
9 53
 
6.4%
5 49
 
6.0%
7 46
 
5.6%
6 32
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 2697
49.0%
/ 2113
38.4%
: 644
 
11.7%
% 16
 
0.3%
" 11
 
0.2%
@ 8
 
0.1%
; 5
 
0.1%
? 3
 
0.1%
# 3
 
0.1%
Space Separator
ValueCountFrequency (%)
847
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28190
66.4%
Common 7424
 
17.5%
Hangul 6813
 
16.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
956
14.0%
717
10.5%
510
 
7.5%
502
 
7.4%
500
 
7.3%
494
 
7.3%
493
 
7.2%
432
 
6.3%
279
 
4.1%
228
 
3.3%
Other values (219) 1702
25.0%
Latin
ValueCountFrequency (%)
o 2866
 
10.2%
t 2787
 
9.9%
r 2380
 
8.4%
a 2147
 
7.6%
e 2139
 
7.6%
s 2128
 
7.5%
m 1978
 
7.0%
w 1649
 
5.8%
c 1499
 
5.3%
n 1306
 
4.6%
Other values (42) 7311
25.9%
Common
ValueCountFrequency (%)
. 2697
36.3%
/ 2113
28.5%
847
 
11.4%
: 644
 
8.7%
1 264
 
3.6%
_ 107
 
1.4%
2 106
 
1.4%
0 92
 
1.2%
- 86
 
1.2%
4 66
 
0.9%
Other values (15) 402
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35614
83.9%
Hangul 6812
 
16.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 2866
 
8.0%
t 2787
 
7.8%
. 2697
 
7.6%
r 2380
 
6.7%
a 2147
 
6.0%
e 2139
 
6.0%
s 2128
 
6.0%
/ 2113
 
5.9%
m 1978
 
5.6%
w 1649
 
4.6%
Other values (67) 12730
35.7%
Hangul
ValueCountFrequency (%)
956
14.0%
717
10.5%
510
 
7.5%
502
 
7.4%
500
 
7.3%
494
 
7.3%
493
 
7.2%
432
 
6.3%
279
 
4.1%
228
 
3.3%
Other values (218) 1701
25.0%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct406
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
2023-12-12T11:07:32.590238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length5
Mean length18.825451
Min length5

Characters and Unicode

Total characters43788
Distinct characters50
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

Unique297 ?
Unique (%)12.8%

Sample

1st row건강/식품
2nd row건강/식품
3rd row건강/식품 의류/패션/잡화/뷰티
4th row교육/도서/완구/오락 가전 컴퓨터/사무용품 가구/수납용품 건강/식품 의류/패션/잡화/뷰티 레져/여행/공연 자동차/자동차용품
5th row건강/식품
ValueCountFrequency (%)
건강/식품 2326
36.1%
종합몰 744
 
11.5%
의류/패션/잡화/뷰티 717
 
11.1%
교육/도서/완구/오락 438
 
6.8%
가구/수납용품 411
 
6.4%
컴퓨터/사무용품 380
 
5.9%
가전 376
 
5.8%
자동차/자동차용품 311
 
4.8%
기타 263
 
4.1%
레져/여행/공연 263
 
4.1%
Other values (2) 218
 
3.4%
2023-12-12T11:07:32.992249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 7506
17.1%
4121
 
9.4%
3646
 
8.3%
2326
 
5.3%
2326
 
5.3%
2326
 
5.3%
1189
 
2.7%
849
 
1.9%
787
 
1.8%
744
 
1.7%
Other values (40) 17968
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32161
73.4%
Other Punctuation 7506
 
17.1%
Space Separator 4121
 
9.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3646
 
11.3%
2326
 
7.2%
2326
 
7.2%
2326
 
7.2%
1189
 
3.7%
849
 
2.6%
787
 
2.4%
744
 
2.3%
744
 
2.3%
744
 
2.3%
Other values (38) 16480
51.2%
Other Punctuation
ValueCountFrequency (%)
/ 7506
100.0%
Space Separator
ValueCountFrequency (%)
4121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32161
73.4%
Common 11627
 
26.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3646
 
11.3%
2326
 
7.2%
2326
 
7.2%
2326
 
7.2%
1189
 
3.7%
849
 
2.6%
787
 
2.4%
744
 
2.3%
744
 
2.3%
744
 
2.3%
Other values (38) 16480
51.2%
Common
ValueCountFrequency (%)
/ 7506
64.6%
4121
35.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32161
73.4%
ASCII 11627
 
26.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 7506
64.6%
4121
35.4%
Hangul
ValueCountFrequency (%)
3646
 
11.3%
2326
 
7.2%
2326
 
7.2%
2326
 
7.2%
1189
 
3.7%
849
 
2.6%
787
 
2.4%
744
 
2.3%
744
 
2.3%
744
 
2.3%
Other values (38) 16480
51.2%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
경기도 파주시청
2326 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 파주시청
2nd row경기도 파주시청
3rd row경기도 파주시청
4th row경기도 파주시청
5th row경기도 파주시청

Common Values

ValueCountFrequency (%)
경기도 파주시청 2326
100.0%

Length

2023-12-12T11:07:33.144758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:07:33.264575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 2326
50.0%
파주시청 2326
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
031-940-4535
2326 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-940-4535
2nd row031-940-4535
3rd row031-940-4535
4th row031-940-4535
5th row031-940-4535

Common Values

ValueCountFrequency (%)
031-940-4535 2326
100.0%

Length

2023-12-12T11:07:33.382769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:07:33.479944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-940-4535 2326
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.3 KiB
Minimum2023-11-16 00:00:00
Maximum2023-11-16 00:00:00
2023-12-12T11:07:33.560283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:07:33.654719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T11:07:27.631348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:07:27.813471image/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

시군명상호명대표자명통신판매번호소재지주소인터넷주소취급품목관리기관명관리기관전화번호데이터기준일자
0파주시에스아이컴퍼니박흥재2023-경기파주-4663경기도 파주시 금정20길 19, 세성빌딩 504동 5층 205호 (금촌동)http://smartstore.naver.com/si-company건강/식품경기도 파주시청031-940-45352023-11-16
1파주시버터베른심윤정2023-경기파주-4658경기도 파주시 청암로17번길 43, 110호 (목동동)http://www.instagram.com/brot_backen건강/식품경기도 파주시청031-940-45352023-11-16
2파주시밀리어네어최진실2023-경기파주-4640경기도 파주시 문산읍 통일로 1750, 103동 505호 (문산어울림)셀리진건강/식품 의류/패션/잡화/뷰티경기도 파주시청031-940-45352023-11-16
3파주시차미미연구소차민정2023-경기파주-4638경기도 파주시 와석순환로192번길 39, 201호 (동패동)네이버스마트스토어교육/도서/완구/오락 가전 컴퓨터/사무용품 가구/수납용품 건강/식품 의류/패션/잡화/뷰티 레져/여행/공연 자동차/자동차용품경기도 파주시청031-940-45352023-11-16
4파주시참고을누룽지통닭김연숙2023-경기파주-4620경기도 파주시 번뛰기길 23-18, 2동 101호 (야당동, 예일아트빌)네이버스마트스토어건강/식품경기도 파주시청031-940-45352023-11-16
5파주시데이베이크샵신가람2023-경기파주-4610경기도 파주시 미래로 369-59, 202,203(12호)호 (동패동)네이버스마트스토어건강/식품경기도 파주시청031-940-45352023-11-16
6파주시페리에트강은비2023-경기파주-4586경기도 파주시 가온로 205, 713동 2004호 (와동동, 해솔마을 7단지 롯데캐슬)https://periette.com종합몰 의류/패션/잡화/뷰티 건강/식품경기도 파주시청031-940-45352023-11-16
7파주시모두의마켓 모켓김은혜2023-경기파주-4549경기도 파주시 송학2길 149, 1동 201호 (야당동, 하임빌)스마트스토어건강/식품경기도 파주시청031-940-45352023-11-16
8파주시더 대단한커피&대단한 탕후루 해오름마을점박한솔2023-경기파주-4546경기도 파주시 해올2길 16, 105호 (다율동)https://smartstore.naver.com/solzzine건강/식품경기도 파주시청031-940-45352023-11-16
9파주시비니하우스류재민2023-경기파주-4536경기도 파주시 광탄면 혜음로 1244-8쿠팡건강/식품경기도 파주시청031-940-45352023-11-16
시군명상호명대표자명통신판매번호소재지주소인터넷주소취급품목관리기관명관리기관전화번호데이터기준일자
2316파주시안주백화점구선하파주-1037경기도 파주시 법원읍 대능리 214번지옥션 지마켓건강/식품경기도 파주시청031-940-45352023-11-16
2317파주시㈜아마레또김용한2007-00979경기도 파주시 법원읍 둔방이길 153-35, 아마레또www.coffeeday.co.kr건강/식품경기도 파주시청031-940-45352023-11-16
2318파주시미소엑기스백지연파주-744경기도 파주시 나몰1길 120 (동패동)www.miso7.co.kr건강/식품경기도 파주시청031-940-45352023-11-16
2319파주시주영푸드조기형2006-00690경기도 파주시 월롱면 검바위길 69gyodong-howchon.com건강/식품경기도 파주시청031-940-45352023-11-16
2320파주시아이점빵이지나2005-경기파주-0364경기도 파주시 후곡로 50, 412동 206호 (금촌동, 후곡마을뜨란채)www.ijumbbang.com건강/식품경기도 파주시청031-940-45352023-11-16
2321파주시추억백화점기태호파주-296경기도 파주시 소라지로 299-32 (송촌동)www.oldgift.com건강/식품 의류/패션/잡화/뷰티 교육/도서/완구/오락경기도 파주시청031-940-45352023-11-16
2322파주시취영루박성수파주-239경기도 파주시 상골길 80 (맥금동)www.cyr.co.kr건강/식품경기도 파주시청031-940-45352023-11-16
2323파주시세광식품㈜김경배파주-225경기도 파주시 적성면 칠중4길 38headdelchan.co.kr건강/식품경기도 파주시청031-940-45352023-11-16
2324파주시(주)김영사고세규2004-경기파주-0202경기도 파주시 문발로 197 (문발동, 파주출판단지 )www.bumo2.com건강/식품경기도 파주시청031-940-45352023-11-16
2325파주시㈜한국타조유통남시원파주-38경기도 파주시 교하로 595-36 (동패동)www.koreatajo.co.krwww.koreatajo.com건강/식품경기도 파주시청031-940-45352023-11-16