Overview

Dataset statistics

Number of variables7
Number of observations3919
Missing cells285
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory218.3 KiB
Average record size in memory57.0 B

Variable types

Numeric1
Text4
Categorical1
DateTime1

Dataset

Description경기도 이천시의 통신판매업체에 대한 현황으로 법인또는상호, 운영상태, 소재지주소, 도메인명, 취급품목 등을 제공합니다.
Author경기도 이천시
URLhttps://www.data.go.kr/data/15117048/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
운영상태 is highly imbalanced (99.6%)Imbalance
도메인명 has 281 (7.2%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:31:30.422879
Analysis finished2024-03-14 19:31:33.369372
Duration2.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3919
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1960
Minimum1
Maximum3919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.6 KiB
2024-03-15T04:31:33.599312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile196.9
Q1980.5
median1960
Q32939.5
95-th percentile3723.1
Maximum3919
Range3918
Interquartile range (IQR)1959

Descriptive statistics

Standard deviation1131.4622
Coefficient of variation (CV)0.57727662
Kurtosis-1.2
Mean1960
Median Absolute Deviation (MAD)980
Skewness0
Sum7681240
Variance1280206.7
MonotonicityStrictly increasing
2024-03-15T04:31:34.062749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2605 1
 
< 0.1%
2607 1
 
< 0.1%
2608 1
 
< 0.1%
2609 1
 
< 0.1%
2610 1
 
< 0.1%
2611 1
 
< 0.1%
2612 1
 
< 0.1%
2613 1
 
< 0.1%
2614 1
 
< 0.1%
Other values (3909) 3909
99.7%
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 (%)
3919 1
< 0.1%
3918 1
< 0.1%
3917 1
< 0.1%
3916 1
< 0.1%
3915 1
< 0.1%
3914 1
< 0.1%
3913 1
< 0.1%
3912 1
< 0.1%
3911 1
< 0.1%
3910 1
< 0.1%

법인또는상호
Text

Distinct3580
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size30.7 KiB
2024-03-15T04:31:35.735111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length32
Mean length7.0362337
Min length1

Characters and Unicode

Total characters27575
Distinct characters916
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

Unique3254 ?
Unique (%)83.0%

Sample

1st row지산리조트 뽀드득 렌탈샵
2nd row오투무인호텔
3rd row이풍농원
4th row주식회사 이천곳간
5th row엘드론
ValueCountFrequency (%)
주식회사 382
 
7.3%
농업회사법인 67
 
1.3%
주 27
 
0.5%
더 18
 
0.3%
지산리조트 15
 
0.3%
스튜디오 12
 
0.2%
ltd 10
 
0.2%
이천점 10
 
0.2%
렌탈샵 9
 
0.2%
이천 9
 
0.2%
Other values (4061) 4659
89.3%
2024-03-15T04:31:37.540167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1311
 
4.8%
이 941
 
3.4%
스 749
 
2.7%
주 712
 
2.6%
) 676
 
2.5%
( 675
 
2.4%
사 664
 
2.4%
회 554
 
2.0%
식 465
 
1.7%
리 430
 
1.6%
Other values (906) 20398
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21263
77.1%
Lowercase Letter 1782
 
6.5%
Uppercase Letter 1510
 
5.5%
Space Separator 1311
 
4.8%
Close Punctuation 676
 
2.5%
Open Punctuation 675
 
2.4%
Decimal Number 200
 
0.7%
Other Punctuation 115
 
0.4%
Dash Punctuation 18
 
0.1%
Other Symbol 18
 
0.1%
Other values (2) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 941
 
4.4%
스 749
 
3.5%
주 712
 
3.3%
사 664
 
3.1%
회 554
 
2.6%
식 465
 
2.2%
리 430
 
2.0%
인 287
 
1.3%
아 284
 
1.3%
에 283
 
1.3%
Other values (827) 15894
74.7%
Lowercase Letter
ValueCountFrequency (%)
e 222
12.5%
o 208
11.7%
a 140
 
7.9%
r 125
 
7.0%
l 117
 
6.6%
n 117
 
6.6%
i 117
 
6.6%
t 110
 
6.2%
s 81
 
4.5%
u 68
 
3.8%
Other values (16) 477
26.8%
Uppercase Letter
ValueCountFrequency (%)
A 122
 
8.1%
O 111
 
7.4%
S 100
 
6.6%
E 100
 
6.6%
C 93
 
6.2%
L 87
 
5.8%
I 76
 
5.0%
T 74
 
4.9%
N 74
 
4.9%
M 74
 
4.9%
Other values (16) 599
39.7%
Other Punctuation
ValueCountFrequency (%)
. 62
53.9%
& 33
28.7%
' 8
 
7.0%
? 4
 
3.5%
" 2
 
1.7%
# 2
 
1.7%
! 1
 
0.9%
@ 1
 
0.9%
: 1
 
0.9%
; 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
2 32
16.0%
1 31
15.5%
0 28
14.0%
5 27
13.5%
3 20
10.0%
6 17
8.5%
9 14
7.0%
7 14
7.0%
4 11
 
5.5%
8 6
 
3.0%
Space Separator
ValueCountFrequency (%)
1311
100.0%
Close Punctuation
ValueCountFrequency (%)
) 676
100.0%
Open Punctuation
ValueCountFrequency (%)
( 675
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21267
77.1%
Latin 3292
 
11.9%
Common 3002
 
10.9%
Han 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 941
 
4.4%
스 749
 
3.5%
주 712
 
3.3%
사 664
 
3.1%
회 554
 
2.6%
식 465
 
2.2%
리 430
 
2.0%
인 287
 
1.3%
아 284
 
1.3%
에 283
 
1.3%
Other values (817) 15898
74.8%
Latin
ValueCountFrequency (%)
e 222
 
6.7%
o 208
 
6.3%
a 140
 
4.3%
r 125
 
3.8%
A 122
 
3.7%
l 117
 
3.6%
n 117
 
3.6%
i 117
 
3.6%
O 111
 
3.4%
t 110
 
3.3%
Other values (42) 1903
57.8%
Common
ValueCountFrequency (%)
1311
43.7%
) 676
22.5%
( 675
22.5%
. 62
 
2.1%
& 33
 
1.1%
2 32
 
1.1%
1 31
 
1.0%
0 28
 
0.9%
5 27
 
0.9%
3 20
 
0.7%
Other values (16) 107
 
3.6%
Han
ValueCountFrequency (%)
家 4
28.6%
安 1
 
7.1%
霧 1
 
7.1%
懷 1
 
7.1%
憐 1
 
7.1%
影 1
 
7.1%
米 1
 
7.1%
尙 1
 
7.1%
永 1
 
7.1%
土 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21247
77.1%
ASCII 6294
 
22.8%
None 18
 
0.1%
CJK 14
 
0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1311
20.8%
) 676
 
10.7%
( 675
 
10.7%
e 222
 
3.5%
o 208
 
3.3%
a 140
 
2.2%
r 125
 
2.0%
A 122
 
1.9%
l 117
 
1.9%
n 117
 
1.9%
Other values (68) 2581
41.0%
Hangul
ValueCountFrequency (%)
이 941
 
4.4%
스 749
 
3.5%
주 712
 
3.4%
사 664
 
3.1%
회 554
 
2.6%
식 465
 
2.2%
리 430
 
2.0%
인 287
 
1.4%
아 284
 
1.3%
에 283
 
1.3%
Other values (815) 15878
74.7%
None
ValueCountFrequency (%)
㈜ 18
100.0%
CJK
ValueCountFrequency (%)
家 4
28.6%
安 1
 
7.1%
霧 1
 
7.1%
懷 1
 
7.1%
憐 1
 
7.1%
影 1
 
7.1%
米 1
 
7.1%
尙 1
 
7.1%
永 1
 
7.1%
土 1
 
7.1%
Compat Jamo
ValueCountFrequency (%)
ㅇ 2
100.0%

운영상태
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size30.7 KiB
정상영업
3917 
<NA>
 
1
IBK기업은행
 
1

Length

Max length7
Median length4
Mean length4.0007655
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 3917
99.9%
<NA> 1
 
< 0.1%
IBK기업은행 1
 
< 0.1%

Length

2024-03-15T04:31:37.930451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:31:38.217803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 3917
99.9%
na 1
 
< 0.1%
ibk기업은행 1
 
< 0.1%

소재지주소
Text

Distinct3415
Distinct (%)87.2%
Missing1
Missing (%)< 0.1%
Memory size30.7 KiB
2024-03-15T04:31:39.299540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length50
Mean length30.595202
Min length3

Characters and Unicode

Total characters119872
Distinct characters452
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

Unique2986 ?
Unique (%)76.2%

Sample

1st row경기도 이천시 마장면 지산로 150
2nd row경기도 이천시 백사면 이여로 282-74
3rd row경기도 이천시 진상미로1800번길 152-13 (대포동)
4th row경기도 이천시 중리천로21번길 21， 1층 (관고동)
5th row경기도 이천시 부발읍 중부대로1204번길 67， 2층
ValueCountFrequency (%)
이천시 3911
 
16.0%
경기도 3901
 
15.9%
신둔면 607
 
2.5%
마장면 479
 
2.0%
부발읍 439
 
1.8%
1층 307
 
1.3%
백사면 260
 
1.1%
대월면 228
 
0.9%
창전동 226
 
0.9%
경충대로 177
 
0.7%
Other values (3522) 13980
57.0%
2024-03-15T04:31:40.728068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20607
 
17.2%
1 5793
 
4.8%
이 4714
 
3.9%
천 4588
 
3.8%
경 4416
 
3.7%
도 4149
 
3.5%
시 3983
 
3.3%
기 3922
 
3.3%
2 3918
 
3.3%
로 3832
 
3.2%
Other values (442) 59950
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65249
54.4%
Decimal Number 26197
21.9%
Space Separator 20607
 
17.2%
Other Punctuation 2562
 
2.1%
Close Punctuation 1772
 
1.5%
Open Punctuation 1772
 
1.5%
Dash Punctuation 1400
 
1.2%
Uppercase Letter 230
 
0.2%
Lowercase Letter 80
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4714
 
7.2%
천 4588
 
7.0%
경 4416
 
6.8%
도 4149
 
6.4%
시 3983
 
6.1%
기 3922
 
6.0%
로 3832
 
5.9%
동 2659
 
4.1%
면 2013
 
3.1%
번 2000
 
3.1%
Other values (388) 28973
44.4%
Uppercase Letter
ValueCountFrequency (%)
A 49
21.3%
C 41
17.8%
B 34
14.8%
E 27
11.7%
K 19
 
8.3%
S 13
 
5.7%
L 7
 
3.0%
G 6
 
2.6%
I 5
 
2.2%
U 4
 
1.7%
Other values (13) 25
10.9%
Lowercase Letter
ValueCountFrequency (%)
b 27
33.8%
a 21
26.2%
c 14
17.5%
e 4
 
5.0%
d 4
 
5.0%
s 3
 
3.8%
g 2
 
2.5%
k 2
 
2.5%
o 1
 
1.2%
l 1
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 5793
22.1%
2 3918
15.0%
0 3514
13.4%
3 2753
10.5%
4 2006
 
7.7%
5 1850
 
7.1%
6 1705
 
6.5%
7 1628
 
6.2%
9 1584
 
6.0%
8 1446
 
5.5%
Other Punctuation
ValueCountFrequency (%)
， 2556
99.8%
. 2
 
0.1%
/ 2
 
0.1%
& 1
 
< 0.1%
? 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
20607
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1772
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1772
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1400
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65249
54.4%
Common 54313
45.3%
Latin 310
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4714
 
7.2%
천 4588
 
7.0%
경 4416
 
6.8%
도 4149
 
6.4%
시 3983
 
6.1%
기 3922
 
6.0%
로 3832
 
5.9%
동 2659
 
4.1%
면 2013
 
3.1%
번 2000
 
3.1%
Other values (388) 28973
44.4%
Latin
ValueCountFrequency (%)
A 49
15.8%
C 41
13.2%
B 34
11.0%
b 27
8.7%
E 27
8.7%
a 21
 
6.8%
K 19
 
6.1%
c 14
 
4.5%
S 13
 
4.2%
L 7
 
2.3%
Other values (24) 58
18.7%
Common
ValueCountFrequency (%)
20607
37.9%
1 5793
 
10.7%
2 3918
 
7.2%
0 3514
 
6.5%
3 2753
 
5.1%
， 2556
 
4.7%
4 2006
 
3.7%
5 1850
 
3.4%
) 1772
 
3.3%
( 1772
 
3.3%
Other values (10) 7772
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65249
54.4%
ASCII 52067
43.4%
None 2556
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20607
39.6%
1 5793
 
11.1%
2 3918
 
7.5%
0 3514
 
6.7%
3 2753
 
5.3%
4 2006
 
3.9%
5 1850
 
3.6%
) 1772
 
3.4%
( 1772
 
3.4%
6 1705
 
3.3%
Other values (43) 6377
 
12.2%
Hangul
ValueCountFrequency (%)
이 4714
 
7.2%
천 4588
 
7.0%
경 4416
 
6.8%
도 4149
 
6.4%
시 3983
 
6.1%
기 3922
 
6.0%
로 3832
 
5.9%
동 2659
 
4.1%
면 2013
 
3.1%
번 2000
 
3.1%
Other values (388) 28973
44.4%
None
ValueCountFrequency (%)
， 2556
100.0%

도메인명
Text

MISSING 

Distinct1402
Distinct (%)38.5%
Missing281
Missing (%)7.2%
Memory size30.7 KiB
2024-03-15T04:31:41.541287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length121
Median length64
Mean length12.4453
Min length1

Characters and Unicode

Total characters45276
Distinct characters350
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

Unique1105 ?
Unique (%)30.4%

Sample

1st row스마트스토어
2nd row스마트스토어
3rd row네이버카페 농라
4th row스마트스토어
5th row토스페이먼츠
ValueCountFrequency (%)
스마트스토어 1001
23.5%
쿠팡 278
 
6.5%
네이버 274
 
6.4%
스토어 144
 
3.4%
스마트 140
 
3.3%
스토어팜 118
 
2.8%
옥션 93
 
2.2%
11번가 92
 
2.2%
지마켓 72
 
1.7%
토스페이먼츠 63
 
1.5%
Other values (1402) 1977
46.5%
2024-03-15T04:31:42.802129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3097
 
6.8%
o 2816
 
6.2%
스 2660
 
5.9%
w 2391
 
5.3%
t 2051
 
4.5%
r 2020
 
4.5%
a 1800
 
4.0%
e 1739
 
3.8%
c 1707
 
3.8%
m 1674
 
3.7%
Other values (340) 23321
51.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 25919
57.2%
Other Letter 12161
26.9%
Other Punctuation 5148
 
11.4%
Decimal Number 994
 
2.2%
Space Separator 657
 
1.5%
Uppercase Letter 181
 
0.4%
Dash Punctuation 71
 
0.2%
Connector Punctuation 60
 
0.1%
Close Punctuation 41
 
0.1%
Open Punctuation 41
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 2660
21.9%
토 1424
11.7%
마 1398
11.5%
어 1352
11.1%
트 1194
9.8%
이 487
 
4.0%
네 362
 
3.0%
버 362
 
3.0%
쿠 286
 
2.4%
팡 285
 
2.3%
Other values (265) 2351
19.3%
Lowercase Letter
ValueCountFrequency (%)
o 2816
10.9%
w 2391
 
9.2%
t 2051
 
7.9%
r 2020
 
7.8%
a 1800
 
6.9%
e 1739
 
6.7%
c 1707
 
6.6%
m 1674
 
6.5%
s 1554
 
6.0%
n 1250
 
4.8%
Other values (16) 6917
26.7%
Uppercase Letter
ValueCountFrequency (%)
G 53
29.3%
N 13
 
7.2%
K 12
 
6.6%
B 11
 
6.1%
A 10
 
5.5%
S 9
 
5.0%
I 7
 
3.9%
M 7
 
3.9%
C 7
 
3.9%
H 6
 
3.3%
Other values (14) 46
25.4%
Decimal Number
ValueCountFrequency (%)
1 338
34.0%
0 185
18.6%
2 127
 
12.8%
4 71
 
7.1%
7 57
 
5.7%
3 56
 
5.6%
5 45
 
4.5%
9 39
 
3.9%
6 38
 
3.8%
8 38
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 3097
60.2%
/ 1549
30.1%
: 480
 
9.3%
@ 8
 
0.2%
# 4
 
0.1%
? 4
 
0.1%
\ 3
 
0.1%
; 2
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
657
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Math Symbol
ValueCountFrequency (%)
= 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 26100
57.6%
Hangul 12161
26.9%
Common 7015
 
15.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 2660
21.9%
토 1424
11.7%
마 1398
11.5%
어 1352
11.1%
트 1194
9.8%
이 487
 
4.0%
네 362
 
3.0%
버 362
 
3.0%
쿠 286
 
2.4%
팡 285
 
2.3%
Other values (265) 2351
19.3%
Latin
ValueCountFrequency (%)
o 2816
 
10.8%
w 2391
 
9.2%
t 2051
 
7.9%
r 2020
 
7.7%
a 1800
 
6.9%
e 1739
 
6.7%
c 1707
 
6.5%
m 1674
 
6.4%
s 1554
 
6.0%
n 1250
 
4.8%
Other values (40) 7098
27.2%
Common
ValueCountFrequency (%)
. 3097
44.1%
/ 1549
22.1%
657
 
9.4%
: 480
 
6.8%
1 338
 
4.8%
0 185
 
2.6%
2 127
 
1.8%
4 71
 
1.0%
- 71
 
1.0%
_ 60
 
0.9%
Other values (15) 380
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33115
73.1%
Hangul 12155
 
26.8%
Compat Jamo 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3097
 
9.4%
o 2816
 
8.5%
w 2391
 
7.2%
t 2051
 
6.2%
r 2020
 
6.1%
a 1800
 
5.4%
e 1739
 
5.3%
c 1707
 
5.2%
m 1674
 
5.1%
s 1554
 
4.7%
Other values (65) 12266
37.0%
Hangul
ValueCountFrequency (%)
스 2660
21.9%
토 1424
11.7%
마 1398
11.5%
어 1352
11.1%
트 1194
9.8%
이 487
 
4.0%
네 362
 
3.0%
버 362
 
3.0%
쿠 286
 
2.4%
팡 285
 
2.3%
Other values (264) 2345
19.3%
Compat Jamo
ValueCountFrequency (%)
ㅁ 6
100.0%

취급품목
Text

Distinct179
Distinct (%)4.6%
Missing3
Missing (%)0.1%
Memory size30.7 KiB
2024-03-15T04:31:43.349855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length84
Mean length6.671859
Min length1

Characters and Unicode

Total characters26127
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

Unique106 ?
Unique (%)2.7%

Sample

1st row기타
2nd row기타
3rd row건강/식품
4th row건강/식품 기타
5th row종합몰 자동차/자동차용품 가구/수납용품
ValueCountFrequency (%)
종합몰 1352
27.7%
기타 1229
25.2%
의류/패션/잡화/뷰티 804
16.5%
건강/식품 639
13.1%
가구/수납용품 201
 
4.1%
교육/도서/완구/오락 184
 
3.8%
레져/여행/공연 149
 
3.1%
자동차/자동차용품 100
 
2.1%
컴퓨터/사무용품 97
 
2.0%
가전 90
 
1.8%
Other values (3) 31
 
0.6%
2024-03-15T04:31:44.526777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 4311
 
16.5%
종 1352
 
5.2%
몰 1352
 
5.2%
합 1352
 
5.2%
기 1229
 
4.7%
타 1229
 
4.7%
품 1065
 
4.1%
960
 
3.7%
류 804
 
3.1%
션 804
 
3.1%
Other values (41) 11669
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20853
79.8%
Other Punctuation 4311
 
16.5%
Space Separator 960
 
3.7%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 1352
 
6.5%
몰 1352
 
6.5%
합 1352
 
6.5%
기 1229
 
5.9%
타 1229
 
5.9%
품 1065
 
5.1%
류 804
 
3.9%
션 804
 
3.9%
잡 804
 
3.9%
화 804
 
3.9%
Other values (38) 10058
48.2%
Other Punctuation
ValueCountFrequency (%)
/ 4311
100.0%
Space Separator
ValueCountFrequency (%)
960
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20853
79.8%
Common 5274
 
20.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 1352
 
6.5%
몰 1352
 
6.5%
합 1352
 
6.5%
기 1229
 
5.9%
타 1229
 
5.9%
품 1065
 
5.1%
류 804
 
3.9%
션 804
 
3.9%
잡 804
 
3.9%
화 804
 
3.9%
Other values (38) 10058
48.2%
Common
ValueCountFrequency (%)
/ 4311
81.7%
960
 
18.2%
- 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20853
79.8%
ASCII 5274
 
20.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 4311
81.7%
960
 
18.2%
- 3
 
0.1%
Hangul
ValueCountFrequency (%)
종 1352
 
6.5%
몰 1352
 
6.5%
합 1352
 
6.5%
기 1229
 
5.9%
타 1229
 
5.9%
품 1065
 
5.1%
류 804
 
3.9%
션 804
 
3.9%
잡 804
 
3.9%
화 804
 
3.9%
Other values (38) 10058
48.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size30.7 KiB
Minimum2024-01-02 00:00:00
Maximum2024-01-02 00:00:00
2024-03-15T04:31:44.866886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:31:45.240165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T04:31:32.085937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:31:45.450095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호운영상태
번호1.0000.003
운영상태0.0031.000
2024-03-15T04:31:45.720221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호운영상태
번호1.0000.002
운영상태0.0021.000

Missing values

2024-03-15T04:31:32.466351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:31:32.880705image/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.
2024-03-15T04:31:33.202695image/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

번호법인또는상호운영상태소재지주소도메인명취급품목데이터기준일자
01지산리조트 뽀드득 렌탈샵정상영업경기도 이천시 마장면 지산로 150스마트스토어기타2024-01-02
12오투무인호텔정상영업경기도 이천시 백사면 이여로 282-74스마트스토어기타2024-01-02
23이풍농원정상영업경기도 이천시 진상미로1800번길 152-13 (대포동)네이버카페 농라건강/식품2024-01-02
34주식회사 이천곳간정상영업경기도 이천시 중리천로21번길 21， 1층 (관고동)스마트스토어건강/식품 기타2024-01-02
45엘드론정상영업경기도 이천시 부발읍 중부대로1204번길 67， 2층토스페이먼츠종합몰 자동차/자동차용품 가구/수납용품2024-01-02
56알뜰사장님정상영업경기도 이천시 마장면 중부대로644번길 224-7스마트스토어종합몰2024-01-02
67벧엘유통정상영업경기도 이천시 장호원읍 장여로55번길 40-10， 101동 1311호 (기산아파트)쿠팡종합몰2024-01-02
78라라장 의류정상영업경기도 이천시 애련정로87번길 32-7， 102호 (창전동)쿠팡의류/패션/잡화/뷰티2024-01-02
89셀러라이프정상영업경기도 이천시 대월면 사동로 176， 201호쿠팡종합몰2024-01-02
910지산리조트 스키강습 브라더스정상영업경기도 이천시 마장면 지산로 226， 1층 102호스마트스토어종합몰 레져/여행/공연2024-01-02
번호법인또는상호운영상태소재지주소도메인명취급품목데이터기준일자
39093910도프윙정상영업경기도 이천시 대산로247번길 50， 106동 101호 (고담동， 지엠하이빌아파트)www.dopewing.com의류/패션/잡화/뷰티2024-01-02
39103911로열커피정상영업경기도 이천시 창전동 419-9www.royalcoffee.co.kr종합몰2024-01-02
39113912전진 정보통신정상영업경기도 이천시 창전동 443-24www.comjj.com종합몰2024-01-02
39123913㈜네오바이오정상영업경기도 이천시 대월면 대월로932번길 17neobio.co.kr종합몰2024-01-02
39133914열두바구니팬시정상영업경기도 이천시 백사면 신대리 23www.12baskets.co.kr종합몰2024-01-02
39143915세경오토정상영업경기도 이천시 부발읍 신하리 557-6www.auto-zone.co.kr종합몰2024-01-02
39153916PJ인터내셔날정상영업경기도 이천시 진리동 37-4www.aution.co.kr종합몰2024-01-02
39163917서경들전통식품영농조합법인정상영업경기도 이천시 모가면 진상미로1178번길 25www.seogyeong.kr건강/식품2024-01-02
39173918바인커뮤니케이션정상영업경기도 이천시 증신로 309， 101동 502호 (송정동，동양아파트)옥션 (vinewiz.com 221.141.1.113)기타2024-01-02
39183919이천농업협동조합정상영업경기도 이천시 영창로 235 (창전동)www.nhicheon.com/shopping건강/식품2024-01-02