Overview

Dataset statistics

Number of variables8
Number of observations7535
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory478.4 KiB
Average record size in memory65.0 B

Variable types

Numeric1
Text3
Categorical3
DateTime1

Dataset

Description경기도 양주시 통신판매업 현황에 관련한 법인또는상호, 운영상태,소재지주소,도메인명,판매방식 등을 포함하고 있습니다.
Author경기도 양주시
URLhttps://www.data.go.kr/data/3080064/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일 has constant value ""Constant
운영상태 is highly imbalanced (99.6%)Imbalance
판매방식 is highly imbalanced (79.5%)Imbalance
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:59:44.451901
Analysis finished2023-12-12 16:59:46.170539
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct7535
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3768
Minimum1
Maximum7535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.4 KiB
2023-12-13T01:59:46.545673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile377.7
Q11884.5
median3768
Q35651.5
95-th percentile7158.3
Maximum7535
Range7534
Interquartile range (IQR)3767

Descriptive statistics

Standard deviation2175.3115
Coefficient of variation (CV)0.57731196
Kurtosis-1.2
Mean3768
Median Absolute Deviation (MAD)1884
Skewness0
Sum28391880
Variance4731980
MonotonicityStrictly increasing
2023-12-13T01:59:46.734814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5021 1
 
< 0.1%
5033 1
 
< 0.1%
5032 1
 
< 0.1%
5031 1
 
< 0.1%
5030 1
 
< 0.1%
5029 1
 
< 0.1%
5028 1
 
< 0.1%
5027 1
 
< 0.1%
5026 1
 
< 0.1%
Other values (7525) 7525
99.9%
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 (%)
7535 1
< 0.1%
7534 1
< 0.1%
7533 1
< 0.1%
7532 1
< 0.1%
7531 1
< 0.1%
7530 1
< 0.1%
7529 1
< 0.1%
7528 1
< 0.1%
7527 1
< 0.1%
7526 1
< 0.1%

법인또는상호
Text

Distinct7420
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-13T01:59:47.172198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length6.6666224
Min length1

Characters and Unicode

Total characters50233
Distinct characters1047
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7319 ?
Unique (%)97.1%

Sample

1st row뉴디제이몰
2nd row무무두두
3rd row가족
4th row이브리아 아트(ebbria art)
5th row제이핸드
ValueCountFrequency (%)
주식회사 653
 
6.7%
주 74
 
0.8%
컴퍼니 35
 
0.4%
농업회사법인 28
 
0.3%
co 24
 
0.2%
korea 20
 
0.2%
ltd 20
 
0.2%
company 19
 
0.2%
더 18
 
0.2%
스토어 13
 
0.1%
Other values (8272) 8899
90.8%
2023-12-13T01:59:47.818568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2288
 
4.6%
이 1673
 
3.3%
스 1450
 
2.9%
) 1266
 
2.5%
( 1264
 
2.5%
주 1243
 
2.5%
사 974
 
1.9%
리 813
 
1.6%
회 764
 
1.5%
식 760
 
1.5%
Other values (1037) 37738
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36951
73.6%
Lowercase Letter 3942
 
7.8%
Uppercase Letter 3820
 
7.6%
Space Separator 2288
 
4.6%
Close Punctuation 1285
 
2.6%
Open Punctuation 1282
 
2.6%
Decimal Number 306
 
0.6%
Other Punctuation 258
 
0.5%
Dash Punctuation 50
 
0.1%
Other Symbol 36
 
0.1%
Other values (3) 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1673
 
4.5%
스 1450
 
3.9%
주 1243
 
3.4%
사 974
 
2.6%
리 813
 
2.2%
회 764
 
2.1%
식 760
 
2.1%
아 618
 
1.7%
에 532
 
1.4%
니 455
 
1.2%
Other values (952) 27669
74.9%
Lowercase Letter
ValueCountFrequency (%)
e 477
12.1%
o 426
 
10.8%
a 322
 
8.2%
n 297
 
7.5%
i 286
 
7.3%
r 245
 
6.2%
l 242
 
6.1%
t 213
 
5.4%
m 165
 
4.2%
s 149
 
3.8%
Other values (16) 1120
28.4%
Uppercase Letter
ValueCountFrequency (%)
E 293
 
7.7%
O 280
 
7.3%
A 277
 
7.3%
N 235
 
6.2%
S 235
 
6.2%
L 223
 
5.8%
T 220
 
5.8%
C 214
 
5.6%
M 207
 
5.4%
I 190
 
5.0%
Other values (16) 1446
37.9%
Other Punctuation
ValueCountFrequency (%)
. 149
57.8%
& 75
29.1%
' 10
 
3.9%
? 6
 
2.3%
: 4
 
1.6%
． 4
 
1.6%
# 4
 
1.6%
· 2
 
0.8%
! 2
 
0.8%
; 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 55
18.0%
1 52
17.0%
3 40
13.1%
0 32
10.5%
4 25
8.2%
7 23
7.5%
5 23
7.5%
8 21
 
6.9%
9 18
 
5.9%
6 17
 
5.6%
Close Punctuation
ValueCountFrequency (%)
) 1266
98.5%
） 18
 
1.4%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1264
98.6%
（ 17
 
1.3%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
2288
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 36
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 12
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36980
73.6%
Latin 7762
 
15.5%
Common 5484
 
10.9%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1673
 
4.5%
스 1450
 
3.9%
주 1243
 
3.4%
사 974
 
2.6%
리 813
 
2.2%
회 764
 
2.1%
식 760
 
2.1%
아 618
 
1.7%
에 532
 
1.4%
니 455
 
1.2%
Other values (946) 27698
74.9%
Latin
ValueCountFrequency (%)
e 477
 
6.1%
o 426
 
5.5%
a 322
 
4.1%
n 297
 
3.8%
E 293
 
3.8%
i 286
 
3.7%
O 280
 
3.6%
A 277
 
3.6%
r 245
 
3.2%
l 242
 
3.1%
Other values (42) 4617
59.5%
Common
ValueCountFrequency (%)
2288
41.7%
) 1266
23.1%
( 1264
23.0%
. 149
 
2.7%
& 75
 
1.4%
2 55
 
1.0%
1 52
 
0.9%
- 50
 
0.9%
3 40
 
0.7%
0 32
 
0.6%
Other values (22) 213
 
3.9%
Han
ValueCountFrequency (%)
水 1
14.3%
愛 1
14.3%
譯 1
14.3%
官 1
14.3%
善 1
14.3%
晶 1
14.3%
日 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36944
73.5%
ASCII 13205
 
26.3%
None 77
 
0.2%
CJK 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2288
 
17.3%
) 1266
 
9.6%
( 1264
 
9.6%
e 477
 
3.6%
o 426
 
3.2%
a 322
 
2.4%
n 297
 
2.2%
E 293
 
2.2%
i 286
 
2.2%
O 280
 
2.1%
Other values (70) 6006
45.5%
Hangul
ValueCountFrequency (%)
이 1673
 
4.5%
스 1450
 
3.9%
주 1243
 
3.4%
사 974
 
2.6%
리 813
 
2.2%
회 764
 
2.1%
식 760
 
2.1%
아 618
 
1.7%
에 532
 
1.4%
니 455
 
1.2%
Other values (945) 27662
74.9%
None
ValueCountFrequency (%)
㈜ 36
46.8%
） 18
23.4%
（ 17
22.1%
． 4
 
5.2%
· 2
 
2.6%
CJK
ValueCountFrequency (%)
水 1
14.3%
愛 1
14.3%
譯 1
14.3%
官 1
14.3%
善 1
14.3%
晶 1
14.3%
日 1
14.3%

운영상태
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
정상영업
7533 
영업재개
 
2

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 7533
> 99.9%
영업재개 2
 
< 0.1%

Length

2023-12-13T01:59:48.015568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:59:48.148673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 7533
> 99.9%
영업재개 2
 
< 0.1%

소재지주소
Text

Distinct6953
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-13T01:59:48.462785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length48
Mean length34.016324
Min length6

Characters and Unicode

Total characters256313
Distinct characters416
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

Unique6489 ?
Unique (%)86.1%

Sample

1st row경기도 양주시 옥정서로 254， 302동 507호 (옥정동， 양주옥정3단지)
2nd row경기도 양주시 백석읍 양주산성로 838-71， 107동 301호 (서광아침의빛아파트)
3rd row경기도 양주시 고읍북로 15， 503동 1206호 (만송동， 은빛마을휴먼시아)
4th row경기도 양주시 옥정로2길 265， 2035동 2803호 (옥정동， 더 파크포레 계룡건설 엔에이치에프)
5th row경기도 양주시 덕계동 131-36
ValueCountFrequency (%)
경기도 7306
 
14.5%
양주시 7297
 
14.5%
백석읍 865
 
1.7%
옥정동， 753
 
1.5%
부흥로 598
 
1.2%
광적면 578
 
1.1%
광사동 465
 
0.9%
1층 425
 
0.8%
은현면 421
 
0.8%
장흥면 414
 
0.8%
Other values (5198) 31306
62.1%
2023-12-13T01:59:49.019147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42926
 
16.7%
1 13447
 
5.2%
동 9317
 
3.6%
0 9122
 
3.6%
양 8620
 
3.4%
주 8328
 
3.2%
시 7616
 
3.0%
2 7530
 
2.9%
도 7477
 
2.9%
기 7346
 
2.9%
Other values (406) 134584
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132978
51.9%
Decimal Number 59074
23.0%
Space Separator 42926
 
16.7%
Other Punctuation 7302
 
2.8%
Open Punctuation 5156
 
2.0%
Close Punctuation 5156
 
2.0%
Dash Punctuation 2934
 
1.1%
Uppercase Letter 535
 
0.2%
Lowercase Letter 232
 
0.1%
Letter Number 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9317
 
7.0%
양 8620
 
6.5%
주 8328
 
6.3%
시 7616
 
5.7%
도 7477
 
5.6%
기 7346
 
5.5%
경 7342
 
5.5%
로 6621
 
5.0%
호 4403
 
3.3%
길 3678
 
2.8%
Other values (356) 62230
46.8%
Uppercase Letter
ValueCountFrequency (%)
S 122
22.8%
G 75
14.0%
A 73
13.6%
B 69
12.9%
T 63
11.8%
C 33
 
6.2%
D 13
 
2.4%
R 13
 
2.4%
P 12
 
2.2%
K 11
 
2.1%
Other values (11) 51
9.5%
Decimal Number
ValueCountFrequency (%)
1 13447
22.8%
0 9122
15.4%
2 7530
12.7%
3 6591
11.2%
4 4635
 
7.8%
5 4490
 
7.6%
6 3470
 
5.9%
8 3464
 
5.9%
9 3324
 
5.6%
7 3001
 
5.1%
Lowercase Letter
ValueCountFrequency (%)
e 211
90.9%
a 10
 
4.3%
j 3
 
1.3%
k 3
 
1.3%
c 2
 
0.9%
s 1
 
0.4%
g 1
 
0.4%
b 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
， 7227
99.0%
@ 52
 
0.7%
. 15
 
0.2%
, 5
 
0.1%
? 3
 
< 0.1%
Space Separator
ValueCountFrequency (%)
42926
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5156
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5156
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2934
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132978
51.9%
Common 122557
47.8%
Latin 778
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9317
 
7.0%
양 8620
 
6.5%
주 8328
 
6.3%
시 7616
 
5.7%
도 7477
 
5.6%
기 7346
 
5.5%
경 7342
 
5.5%
로 6621
 
5.0%
호 4403
 
3.3%
길 3678
 
2.8%
Other values (356) 62230
46.8%
Latin
ValueCountFrequency (%)
e 211
27.1%
S 122
15.7%
G 75
 
9.6%
A 73
 
9.4%
B 69
 
8.9%
T 63
 
8.1%
C 33
 
4.2%
D 13
 
1.7%
R 13
 
1.7%
P 12
 
1.5%
Other values (20) 94
12.1%
Common
ValueCountFrequency (%)
42926
35.0%
1 13447
 
11.0%
0 9122
 
7.4%
2 7530
 
6.1%
， 7227
 
5.9%
3 6591
 
5.4%
( 5156
 
4.2%
) 5156
 
4.2%
4 4635
 
3.8%
5 4490
 
3.7%
Other values (10) 16277
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132978
51.9%
ASCII 116097
45.3%
None 7227
 
2.8%
Number Forms 11
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42926
37.0%
1 13447
 
11.6%
0 9122
 
7.9%
2 7530
 
6.5%
3 6591
 
5.7%
( 5156
 
4.4%
) 5156
 
4.4%
4 4635
 
4.0%
5 4490
 
3.9%
6 3470
 
3.0%
Other values (38) 13574
 
11.7%
Hangul
ValueCountFrequency (%)
동 9317
 
7.0%
양 8620
 
6.5%
주 8328
 
6.3%
시 7616
 
5.7%
도 7477
 
5.6%
기 7346
 
5.5%
경 7342
 
5.5%
로 6621
 
5.0%
호 4403
 
3.3%
길 3678
 
2.8%
Other values (356) 62230
46.8%
None
ValueCountFrequency (%)
， 7227
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 11
100.0%

도메인명
Text

Distinct3862
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
2023-12-13T01:59:49.290898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length65
Mean length16.678567
Min length1

Characters and Unicode

Total characters125673
Distinct characters420
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

Unique3693 ?
Unique (%)49.0%

Sample

1st row네이버 스마트스토어
2nd rowhttps://smartstore.naver.com/moomudoodu
3rd row쿠팡
4th rowhttps://buy.tosspayments.com/shops/mob_GPxxNhptEi
5th rowhttps://smartstore.naver.com/jinhand
ValueCountFrequency (%)
등 1306
 
11.7%
네이버 988
 
8.8%
스마트스토어 961
 
8.6%
오픈마켓 809
 
7.2%
오픈마켓(네이버 640
 
5.7%
쿠팡 443
 
4.0%
옥션 353
 
3.1%
316
 
2.8%
11번가 314
 
2.8%
네이버스마트스토어 216
 
1.9%
Other values (3680) 4861
43.4%
2023-12-13T01:59:49.729858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 7585
 
6.0%
o 7364
 
5.9%
t 7180
 
5.7%
r 6531
 
5.2%
e 5493
 
4.4%
a 5422
 
4.3%
/ 5238
 
4.2%
s 5188
 
4.1%
m 4977
 
4.0%
w 4878
 
3.9%
Other values (410) 65817
52.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 73056
58.1%
Other Letter 28369
 
22.6%
Other Punctuation 14474
 
11.5%
Space Separator 3790
 
3.0%
Decimal Number 2381
 
1.9%
Open Punctuation 1019
 
0.8%
Close Punctuation 1017
 
0.8%
Uppercase Letter 810
 
0.6%
Dash Punctuation 463
 
0.4%
Connector Punctuation 285
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 3516
12.4%
스 2748
 
9.7%
켓 2252
 
7.9%
이 2051
 
7.2%
네 1985
 
7.0%
버 1977
 
7.0%
오 1830
 
6.5%
픈 1797
 
6.3%
토 1435
 
5.1%
어 1426
 
5.0%
Other values (331) 7352
25.9%
Lowercase Letter
ValueCountFrequency (%)
o 7364
10.1%
t 7180
 
9.8%
r 6531
 
8.9%
e 5493
 
7.5%
a 5422
 
7.4%
s 5188
 
7.1%
m 4977
 
6.8%
w 4878
 
6.7%
c 4146
 
5.7%
n 3525
 
4.8%
Other values (16) 18352
25.1%
Uppercase Letter
ValueCountFrequency (%)
G 234
28.9%
E 43
 
5.3%
O 36
 
4.4%
M 36
 
4.4%
N 35
 
4.3%
C 35
 
4.3%
S 35
 
4.3%
A 32
 
4.0%
L 32
 
4.0%
W 31
 
3.8%
Other values (16) 261
32.2%
Other Punctuation
ValueCountFrequency (%)
. 7585
52.4%
/ 5238
36.2%
: 1605
 
11.1%
@ 15
 
0.1%
# 11
 
0.1%
? 9
 
0.1%
& 5
 
< 0.1%
; 3
 
< 0.1%
" 2
 
< 0.1%
! 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 1029
43.2%
2 287
 
12.1%
0 232
 
9.7%
4 169
 
7.1%
3 124
 
5.2%
5 119
 
5.0%
7 117
 
4.9%
8 110
 
4.6%
9 107
 
4.5%
6 87
 
3.7%
Math Symbol
ValueCountFrequency (%)
= 7
77.8%
> 2
 
22.2%
Space Separator
ValueCountFrequency (%)
3790
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1019
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1017
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 463
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 285
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 73866
58.8%
Hangul 28369
 
22.6%
Common 23438
 
18.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 3516
12.4%
스 2748
 
9.7%
켓 2252
 
7.9%
이 2051
 
7.2%
네 1985
 
7.0%
버 1977
 
7.0%
오 1830
 
6.5%
픈 1797
 
6.3%
토 1435
 
5.1%
어 1426
 
5.0%
Other values (331) 7352
25.9%
Latin
ValueCountFrequency (%)
o 7364
 
10.0%
t 7180
 
9.7%
r 6531
 
8.8%
e 5493
 
7.4%
a 5422
 
7.3%
s 5188
 
7.0%
m 4977
 
6.7%
w 4878
 
6.6%
c 4146
 
5.6%
n 3525
 
4.8%
Other values (42) 19162
25.9%
Common
ValueCountFrequency (%)
. 7585
32.4%
/ 5238
22.3%
3790
16.2%
: 1605
 
6.8%
1 1029
 
4.4%
( 1019
 
4.3%
) 1017
 
4.3%
- 463
 
2.0%
2 287
 
1.2%
_ 285
 
1.2%
Other values (17) 1120
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 97304
77.4%
Hangul 28369
 
22.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 7585
 
7.8%
o 7364
 
7.6%
t 7180
 
7.4%
r 6531
 
6.7%
e 5493
 
5.6%
a 5422
 
5.6%
/ 5238
 
5.4%
s 5188
 
5.3%
m 4977
 
5.1%
w 4878
 
5.0%
Other values (69) 37448
38.5%
Hangul
ValueCountFrequency (%)
마 3516
12.4%
스 2748
 
9.7%
켓 2252
 
7.9%
이 2051
 
7.2%
네 1985
 
7.0%
버 1977
 
7.0%
오 1830
 
6.5%
픈 1797
 
6.3%
토 1435
 
5.1%
어 1426
 
5.0%
Other values (331) 7352
25.9%

판매방식
Categorical

IMBALANCE 

Distinct36
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
인터넷
6415 
-
 
447
인터넷 기타
 
267
인터넷 TV홈쇼핑
 
60
인터넷 카다로그
 
47
Other values (31)
 
299

Length

Max length22
Median length3
Mean length3.4568016
Min length1

Unique

Unique10 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷 6415
85.1%
- 447
 
5.9%
인터넷 기타 267
 
3.5%
인터넷 TV홈쇼핑 60
 
0.8%
인터넷 카다로그 47
 
0.6%
인터넷 TV홈쇼핑 카다로그 신문잡지 기타 36
 
0.5%
기타 36
 
0.5%
인터넷 카다로그 기타 29
 
0.4%
TV홈쇼핑 25
 
0.3%
TV홈쇼핑 인터넷 23
 
0.3%
Other values (26) 150
 
2.0%

Length

2023-12-13T01:59:49.892455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷 7025
82.4%
기타 457
 
5.4%
447
 
5.2%
tv홈쇼핑 252
 
3.0%
카다로그 225
 
2.6%
신문잡지 115
 
1.3%
카탈로그 1
 
< 0.1%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
기업경제과
7535 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기업경제과 7535
100.0%

Length

2023-12-13T01:59:50.046896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:59:50.189236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기업경제과 7535
100.0%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size59.0 KiB
Minimum2022-12-12 00:00:00
Maximum2022-12-12 00:00:00
2023-12-13T01:59:50.307575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:59:50.433183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:59:45.822116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:59:50.523392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호운영상태판매방식
번호1.0000.0000.453
운영상태0.0001.0000.302
판매방식0.4530.3021.000
2023-12-13T01:59:50.633803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영상태판매방식
운영상태1.0000.240
판매방식0.2401.000
2023-12-13T01:59:50.752942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호운영상태판매방식
번호1.0000.0000.175
운영상태0.0001.0000.240
판매방식0.1750.2401.000

Missing values

2023-12-13T01:59:45.964209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:59:46.095891image/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

번호법인또는상호운영상태소재지주소도메인명판매방식관리기관명데이터기준일
01뉴디제이몰정상영업경기도 양주시 옥정서로 254， 302동 507호 (옥정동， 양주옥정3단지)네이버 스마트스토어인터넷기업경제과2022-12-12
12무무두두정상영업경기도 양주시 백석읍 양주산성로 838-71， 107동 301호 (서광아침의빛아파트)https://smartstore.naver.com/moomudoodu인터넷기업경제과2022-12-12
23가족정상영업경기도 양주시 고읍북로 15， 503동 1206호 (만송동， 은빛마을휴먼시아)쿠팡인터넷기업경제과2022-12-12
34이브리아 아트(ebbria art)정상영업경기도 양주시 옥정로2길 265， 2035동 2803호 (옥정동， 더 파크포레 계룡건설 엔에이치에프)https://buy.tosspayments.com/shops/mob_GPxxNhptEi인터넷기업경제과2022-12-12
45제이핸드정상영업경기도 양주시 덕계동 131-36https://smartstore.naver.com/jinhand인터넷기업경제과2022-12-12
56더:준 마켓정상영업경기도 양주시 옥정동로1길 63， 1801동 1602호 (옥정동， e편한세상 옥정 에듀써밋)https://smartstore.naver.com/the-junmarket인터넷기업경제과2022-12-12
67루비아공방정상영업경기도 양주시 옥정로 204， 한길프라자 5층 510호 (옥정동)https://smartstore.naver.com/rubia_studio인터넷 기타기업경제과2022-12-12
78우승정상영업경기도 양주시 고읍로35번길 29-5， 그레이스빌 305호 (고읍동)11번가인터넷기업경제과2022-12-12
89나셀러스정상영업경기도 양주시 화합로1325번길 22-33， 202동 2002호 (덕정동， 양주서희스타힐스2단지)네이버 스마트스토어인터넷기업경제과2022-12-12
910캬라멜정상영업경기도 양주시 고읍북로 15， 503동 1006호 (만송동， 은빛마을휴먼시아)https://m.smartstore.naver.com/market_caramel인터넷기업경제과2022-12-12
번호법인또는상호운영상태소재지주소도메인명판매방식관리기관명데이터기준일
75257526가교여성 전문몰정상영업덕정동 117 봉우마을 501-102www.biyashop.co kr-기업경제과2022-12-12
75267527웨어몰정상영업덕정동 164 은동마을 109-1603www.wearmall.co.kr-기업경제과2022-12-12
75277528㈜정원조구정상영업율정동 597-4www.naman17.co.kr-기업경제과2022-12-12
75287529애니샵정상영업산북동 295-9anyshop.net-기업경제과2022-12-12
75297530아름 꽃뱅크정상영업덕정동 350-14http://-기업경제과2022-12-12
75307531가농쇼핑몰정상영업덕정동 164http://-기업경제과2022-12-12
75317532두두식품정상영업광적면 가납리 120-1http://-기업경제과2022-12-12
75327533Wew2정상영업덕계동 신우@102-1701http://-기업경제과2022-12-12
75337534헬스케어 프라자정상영업덕계동 424-11http://-기업경제과2022-12-12
75347535고려인삼정상영업은현면 용암리126-5http://-기업경제과2022-12-12