Overview

Dataset statistics

Number of variables10
Number of observations7516
Missing cells208
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory594.7 KiB
Average record size in memory81.0 B

Variable types

Numeric1
Text4
Categorical5

Dataset

Description경상북도 구미시에 등록된 통신판매업 현황 데이터로 관리번호, 상호, 법인구분, 도메인명, 취급품목 등을 제공하고 있습니다.
URLhttps://www.data.go.kr/data/3069575/fileData.do

Alerts

운영상태 has constant value ""Constant
데이터기준일자 has constant value ""Constant
도메인유형 is highly overall correlated with 구매안전서비스여부High correlation
구매안전서비스여부 is highly overall correlated with 도메인유형High correlation
판매방식 is highly imbalanced (84.0%)Imbalance
취급품목 has 196 (2.6%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:42:50.368184
Analysis finished2023-12-12 20:42:52.896690
Duration2.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct7516
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3758.5
Minimum1
Maximum7516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size66.2 KiB
2023-12-13T05:42:53.001873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile376.75
Q11879.75
median3758.5
Q35637.25
95-th percentile7140.25
Maximum7516
Range7515
Interquartile range (IQR)3757.5

Descriptive statistics

Standard deviation2169.8266
Coefficient of variation (CV)0.57731186
Kurtosis-1.2
Mean3758.5
Median Absolute Deviation (MAD)1879
Skewness0
Sum28248886
Variance4708147.7
MonotonicityStrictly increasing
2023-12-13T05:42:53.200170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5009 1
 
< 0.1%
5021 1
 
< 0.1%
5020 1
 
< 0.1%
5019 1
 
< 0.1%
5018 1
 
< 0.1%
5017 1
 
< 0.1%
5016 1
 
< 0.1%
5015 1
 
< 0.1%
5014 1
 
< 0.1%
Other values (7506) 7506
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 (%)
7516 1
< 0.1%
7515 1
< 0.1%
7514 1
< 0.1%
7513 1
< 0.1%
7512 1
< 0.1%
7511 1
< 0.1%
7510 1
< 0.1%
7509 1
< 0.1%
7508 1
< 0.1%
7507 1
< 0.1%

상호명
Text

Distinct7345
Distinct (%)97.8%
Missing2
Missing (%)< 0.1%
Memory size58.8 KiB
2023-12-13T05:42:53.761783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length43
Mean length6.3685121
Min length1

Characters and Unicode

Total characters47853
Distinct characters1076
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7186 ?
Unique (%)95.6%

Sample

1st row멜리
2nd row리빙드림몰
3rd row멍푸치노
4th row레이구매대행
5th row오빠숯불닭갈비
ValueCountFrequency (%)
주식회사 319
 
3.4%
주 44
 
0.5%
농업회사법인 26
 
0.3%
구미점 25
 
0.3%
더 20
 
0.2%
company 19
 
0.2%
마켓 13
 
0.1%
컴퍼니 13
 
0.1%
구미 13
 
0.1%
코리아 11
 
0.1%
Other values (8105) 8770
94.6%
2023-12-13T05:42:54.739688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1791
 
3.7%
이 1637
 
3.4%
스 1230
 
2.6%
( 1144
 
2.4%
) 1142
 
2.4%
리 856
 
1.8%
주 666
 
1.4%
사 657
 
1.4%
아 609
 
1.3%
미 545
 
1.1%
Other values (1066) 37576
78.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36553
76.4%
Lowercase Letter 3717
 
7.8%
Uppercase Letter 2893
 
6.0%
Space Separator 1791
 
3.7%
Open Punctuation 1147
 
2.4%
Close Punctuation 1145
 
2.4%
Decimal Number 345
 
0.7%
Other Punctuation 174
 
0.4%
Dash Punctuation 40
 
0.1%
Other Symbol 23
 
< 0.1%
Other values (4) 25
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1637
 
4.5%
스 1230
 
3.4%
리 856
 
2.3%
주 666
 
1.8%
사 657
 
1.8%
아 609
 
1.7%
미 545
 
1.5%
회 453
 
1.2%
니 425
 
1.2%
마 419
 
1.1%
Other values (982) 29056
79.5%
Lowercase Letter
ValueCountFrequency (%)
e 437
11.8%
o 406
 
10.9%
a 302
 
8.1%
i 289
 
7.8%
n 275
 
7.4%
r 222
 
6.0%
l 212
 
5.7%
t 201
 
5.4%
m 179
 
4.8%
s 163
 
4.4%
Other values (16) 1031
27.7%
Uppercase Letter
ValueCountFrequency (%)
A 217
 
7.5%
S 209
 
7.2%
O 200
 
6.9%
E 200
 
6.9%
M 182
 
6.3%
N 165
 
5.7%
T 164
 
5.7%
I 155
 
5.4%
L 150
 
5.2%
C 148
 
5.1%
Other values (16) 1103
38.1%
Other Punctuation
ValueCountFrequency (%)
. 84
48.3%
& 37
21.3%
' 21
 
12.1%
# 13
 
7.5%
: 7
 
4.0%
· 3
 
1.7%
! 3
 
1.7%
; 2
 
1.1%
/ 2
 
1.1%
* 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
4 70
20.3%
1 55
15.9%
2 48
13.9%
5 34
9.9%
3 33
9.6%
0 32
9.3%
9 22
 
6.4%
8 19
 
5.5%
6 17
 
4.9%
7 15
 
4.3%
Open Punctuation
ValueCountFrequency (%)
( 1144
99.7%
[ 3
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1142
99.7%
] 3
 
0.3%
Space Separator
ValueCountFrequency (%)
1791
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 23
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 3
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%
Math Symbol
ValueCountFrequency (%)
× 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36566
76.4%
Latin 6610
 
13.8%
Common 4667
 
9.8%
Han 10
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1637
 
4.5%
스 1230
 
3.4%
리 856
 
2.3%
주 666
 
1.8%
사 657
 
1.8%
아 609
 
1.7%
미 545
 
1.5%
회 453
 
1.2%
니 425
 
1.2%
마 419
 
1.1%
Other values (973) 29069
79.5%
Latin
ValueCountFrequency (%)
e 437
 
6.6%
o 406
 
6.1%
a 302
 
4.6%
i 289
 
4.4%
n 275
 
4.2%
r 222
 
3.4%
A 217
 
3.3%
l 212
 
3.2%
S 209
 
3.2%
t 201
 
3.0%
Other values (42) 3840
58.1%
Common
ValueCountFrequency (%)
1791
38.4%
( 1144
24.5%
) 1142
24.5%
. 84
 
1.8%
4 70
 
1.5%
1 55
 
1.2%
2 48
 
1.0%
- 40
 
0.9%
& 37
 
0.8%
5 34
 
0.7%
Other values (21) 222
 
4.8%
Han
ValueCountFrequency (%)
美 1
10.0%
愛 1
10.0%
路 1
10.0%
雲 1
10.0%
風 1
10.0%
善 1
10.0%
德 1
10.0%
海 1
10.0%
休 1
10.0%
亭 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36543
76.4%
ASCII 11273
 
23.6%
None 27
 
0.1%
CJK 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1791
 
15.9%
( 1144
 
10.1%
) 1142
 
10.1%
e 437
 
3.9%
o 406
 
3.6%
a 302
 
2.7%
i 289
 
2.6%
n 275
 
2.4%
r 222
 
2.0%
A 217
 
1.9%
Other values (71) 5048
44.8%
Hangul
ValueCountFrequency (%)
이 1637
 
4.5%
스 1230
 
3.4%
리 856
 
2.3%
주 666
 
1.8%
사 657
 
1.8%
아 609
 
1.7%
미 545
 
1.5%
회 453
 
1.2%
니 425
 
1.2%
마 419
 
1.1%
Other values (972) 29046
79.5%
None
ValueCountFrequency (%)
㈜ 23
85.2%
· 3
 
11.1%
× 1
 
3.7%
CJK
ValueCountFrequency (%)
美 1
10.0%
愛 1
10.0%
路 1
10.0%
雲 1
10.0%
風 1
10.0%
善 1
10.0%
德 1
10.0%
海 1
10.0%
休 1
10.0%
亭 1
10.0%

운영상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size58.8 KiB
정상영업
7516 

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 7516
100.0%

Length

2023-12-13T05:42:54.946028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:42:55.099487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 7516
100.0%

소재지주소
Text

Distinct7174
Distinct (%)95.6%
Missing10
Missing (%)0.1%
Memory size58.8 KiB
2023-12-13T05:42:55.463902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length47
Mean length34.312816
Min length15

Characters and Unicode

Total characters257552
Distinct characters545
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

Unique6889 ?
Unique (%)91.8%

Sample

1st row경상북도 구미시 인동43길 22-42， 206동 1203호 (구평동， 2단지부영아파트)
2nd row경상북도 구미시 해마루공원로 80， 108동 201호 (옥계동， 중흥에스-클래스에듀힐스)
3rd row경상북도 구미시 산동읍 신당4로 56， 2동 1층 102호 (쌍용예가 더파크)
4th row경상북도 구미시 신시로16길 141， 103동 201호 (송정동， 삼성장미아파트)
5th row경상북도 구미시 인동28길 19-6， 1층 (진평동)
ValueCountFrequency (%)
경상북도 7506
 
14.7%
구미시 7504
 
14.7%
1층 693
 
1.4%
원평동 471
 
0.9%
고아읍 448
 
0.9%
옥계동， 343
 
0.7%
2층 331
 
0.6%
형곡동 324
 
0.6%
봉곡동 320
 
0.6%
101동 309
 
0.6%
Other values (5940) 32713
64.2%
2023-12-13T05:42:56.055532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43500
 
16.9%
1 13131
 
5.1%
동 10983
 
4.3%
구 8976
 
3.5%
상 8628
 
3.4%
미 8593
 
3.3%
도 8207
 
3.2%
0 8176
 
3.2%
시 8037
 
3.1%
북 7751
 
3.0%
Other values (535) 131570
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 139520
54.2%
Decimal Number 51226
 
19.9%
Space Separator 43500
 
16.9%
Other Punctuation 7544
 
2.9%
Close Punctuation 6115
 
2.4%
Open Punctuation 6114
 
2.4%
Dash Punctuation 2878
 
1.1%
Uppercase Letter 510
 
0.2%
Lowercase Letter 141
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10983
 
7.9%
구 8976
 
6.4%
상 8628
 
6.2%
미 8593
 
6.2%
도 8207
 
5.9%
시 8037
 
5.8%
북 7751
 
5.6%
경 7591
 
5.4%
로 5589
 
4.0%
호 5294
 
3.8%
Other values (475) 59871
42.9%
Uppercase Letter
ValueCountFrequency (%)
A 158
31.0%
B 99
19.4%
W 29
 
5.7%
D 27
 
5.3%
L 25
 
4.9%
S 24
 
4.7%
C 22
 
4.3%
T 21
 
4.1%
P 17
 
3.3%
O 11
 
2.2%
Other values (13) 77
15.1%
Lowercase Letter
ValueCountFrequency (%)
e 118
83.7%
c 6
 
4.3%
o 4
 
2.8%
k 3
 
2.1%
t 2
 
1.4%
j 2
 
1.4%
m 2
 
1.4%
b 1
 
0.7%
a 1
 
0.7%
s 1
 
0.7%
Decimal Number
ValueCountFrequency (%)
1 13131
25.6%
0 8176
16.0%
2 7349
14.3%
3 5847
11.4%
5 3748
 
7.3%
4 3591
 
7.0%
6 2989
 
5.8%
7 2298
 
4.5%
8 2132
 
4.2%
9 1965
 
3.8%
Other Punctuation
ValueCountFrequency (%)
， 7512
99.6%
/ 12
 
0.2%
@ 8
 
0.1%
. 6
 
0.1%
, 3
 
< 0.1%
* 1
 
< 0.1%
· 1
 
< 0.1%
& 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 6114
> 99.9%
] 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 6113
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
43500
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2878
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 139521
54.2%
Common 117380
45.6%
Latin 651
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10983
 
7.9%
구 8976
 
6.4%
상 8628
 
6.2%
미 8593
 
6.2%
도 8207
 
5.9%
시 8037
 
5.8%
북 7751
 
5.6%
경 7591
 
5.4%
로 5589
 
4.0%
호 5294
 
3.8%
Other values (476) 59872
42.9%
Latin
ValueCountFrequency (%)
A 158
24.3%
e 118
18.1%
B 99
15.2%
W 29
 
4.5%
D 27
 
4.1%
L 25
 
3.8%
S 24
 
3.7%
C 22
 
3.4%
T 21
 
3.2%
P 17
 
2.6%
Other values (24) 111
17.1%
Common
ValueCountFrequency (%)
43500
37.1%
1 13131
 
11.2%
0 8176
 
7.0%
， 7512
 
6.4%
2 7349
 
6.3%
) 6114
 
5.2%
( 6113
 
5.2%
3 5847
 
5.0%
5 3748
 
3.2%
4 3591
 
3.1%
Other values (15) 12299
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 139516
54.2%
ASCII 110518
42.9%
None 7514
 
2.9%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43500
39.4%
1 13131
 
11.9%
0 8176
 
7.4%
2 7349
 
6.6%
) 6114
 
5.5%
( 6113
 
5.5%
3 5847
 
5.3%
5 3748
 
3.4%
4 3591
 
3.2%
6 2989
 
2.7%
Other values (47) 9960
 
9.0%
Hangul
ValueCountFrequency (%)
동 10983
 
7.9%
구 8976
 
6.4%
상 8628
 
6.2%
미 8593
 
6.2%
도 8207
 
5.9%
시 8037
 
5.8%
북 7751
 
5.6%
경 7591
 
5.4%
로 5589
 
4.0%
호 5294
 
3.8%
Other values (473) 59867
42.9%
None
ValueCountFrequency (%)
， 7512
> 99.9%
· 1
 
< 0.1%
㈜ 1
 
< 0.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
75.0%
ㅡ 1
 
25.0%

도메인명
Text

Distinct6135
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size58.8 KiB
2023-12-13T05:42:56.373624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length105
Median length52
Mean length26.198776
Min length2

Characters and Unicode

Total characters196910
Distinct characters398
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

Unique5984 ?
Unique (%)79.6%

Sample

1st rowhttps://smartstore.naver.com/melle_day
2nd row쿠팡
3rd row그립
4th row쿠팡
5th row네이버스마트스토어
ValueCountFrequency (%)
없음 226
 
2.8%
쿠팡 159
 
2.0%
옥션 152
 
1.9%
www.coupang.com 151
 
1.9%
오픈마켓 138
 
1.7%
11번가 132
 
1.7%
스마트스토어 97
 
1.2%
g마켓 78
 
1.0%
네이버스마트스토어 56
 
0.7%
https://www.coupang.com 56
 
0.7%
Other values (6101) 6689
84.3%
2023-12-13T05:42:56.934590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 17692
 
9.0%
o 14588
 
7.4%
/ 13722
 
7.0%
r 13442
 
6.8%
. 13361
 
6.8%
s 12542
 
6.4%
a 12001
 
6.1%
e 11300
 
5.7%
m 11013
 
5.6%
c 7748
 
3.9%
Other values (388) 69501
35.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 151643
77.0%
Other Punctuation 31635
 
16.1%
Other Letter 5729
 
2.9%
Decimal Number 5382
 
2.7%
Connector Punctuation 818
 
0.4%
Uppercase Letter 570
 
0.3%
Space Separator 467
 
0.2%
Dash Punctuation 424
 
0.2%
Open Punctuation 117
 
0.1%
Close Punctuation 117
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 607
 
10.6%
켓 423
 
7.4%
스 413
 
7.2%
오 264
 
4.6%
픈 241
 
4.2%
음 227
 
4.0%
없 226
 
3.9%
토 218
 
3.8%
옥 214
 
3.7%
션 214
 
3.7%
Other values (310) 2682
46.8%
Lowercase Letter
ValueCountFrequency (%)
t 17692
11.7%
o 14588
 
9.6%
r 13442
 
8.9%
s 12542
 
8.3%
a 12001
 
7.9%
e 11300
 
7.5%
m 11013
 
7.3%
c 7748
 
5.1%
n 7504
 
4.9%
w 6333
 
4.2%
Other values (16) 37480
24.7%
Uppercase Letter
ValueCountFrequency (%)
G 126
22.1%
B 30
 
5.3%
D 26
 
4.6%
A 26
 
4.6%
K 24
 
4.2%
L 24
 
4.2%
C 22
 
3.9%
S 21
 
3.7%
N 20
 
3.5%
W 19
 
3.3%
Other values (16) 232
40.7%
Other Punctuation
ValueCountFrequency (%)
/ 13722
43.4%
. 13361
42.2%
: 4479
 
14.2%
@ 31
 
0.1%
# 12
 
< 0.1%
% 12
 
< 0.1%
? 9
 
< 0.1%
; 7
 
< 0.1%
' 1
 
< 0.1%
! 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 1180
21.9%
0 747
13.9%
2 693
12.9%
4 490
9.1%
7 455
 
8.5%
8 402
 
7.5%
9 382
 
7.1%
5 372
 
6.9%
3 372
 
6.9%
6 289
 
5.4%
Connector Punctuation
ValueCountFrequency (%)
_ 818
100.0%
Space Separator
ValueCountFrequency (%)
467
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 424
100.0%
Open Punctuation
ValueCountFrequency (%)
( 117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Math Symbol
ValueCountFrequency (%)
= 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 152213
77.3%
Common 38968
 
19.8%
Hangul 5729
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 607
 
10.6%
켓 423
 
7.4%
스 413
 
7.2%
오 264
 
4.6%
픈 241
 
4.2%
음 227
 
4.0%
없 226
 
3.9%
토 218
 
3.8%
옥 214
 
3.7%
션 214
 
3.7%
Other values (310) 2682
46.8%
Latin
ValueCountFrequency (%)
t 17692
11.6%
o 14588
 
9.6%
r 13442
 
8.8%
s 12542
 
8.2%
a 12001
 
7.9%
e 11300
 
7.4%
m 11013
 
7.2%
c 7748
 
5.1%
n 7504
 
4.9%
w 6333
 
4.2%
Other values (42) 38050
25.0%
Common
ValueCountFrequency (%)
/ 13722
35.2%
. 13361
34.3%
: 4479
 
11.5%
1 1180
 
3.0%
_ 818
 
2.1%
0 747
 
1.9%
2 693
 
1.8%
4 490
 
1.3%
467
 
1.2%
7 455
 
1.2%
Other values (16) 2556
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 191181
97.1%
Hangul 5729
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 17692
 
9.3%
o 14588
 
7.6%
/ 13722
 
7.2%
r 13442
 
7.0%
. 13361
 
7.0%
s 12542
 
6.6%
a 12001
 
6.3%
e 11300
 
5.9%
m 11013
 
5.8%
c 7748
 
4.1%
Other values (68) 63772
33.4%
Hangul
ValueCountFrequency (%)
마 607
 
10.6%
켓 423
 
7.4%
스 413
 
7.2%
오 264
 
4.6%
픈 241
 
4.2%
음 227
 
4.0%
없 226
 
3.9%
토 218
 
3.8%
옥 214
 
3.7%
션 214
 
3.7%
Other values (310) 2682
46.8%

도메인유형
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size58.8 KiB
오픈
4154 
개인
2345 
<NA>
774 
해당없음
 
226
모두사용
 
17

Length

Max length4
Median length2
Mean length2.2706227
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
오픈 4154
55.3%
개인 2345
31.2%
<NA> 774
 
10.3%
해당없음 226
 
3.0%
모두사용 17
 
0.2%

Length

2023-12-13T05:42:57.114184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:42:57.260041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오픈 4154
55.3%
개인 2345
31.2%
na 774
 
10.3%
해당없음 226
 
3.0%
모두사용 17
 
0.2%

구매안전서비스여부
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size58.8 KiB
제공
5867 
<NA>
1093 
미제공
 
290
해당없음
 
266

Length

Max length4
Median length2
Mean length2.4002129
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제공 5867
78.1%
<NA> 1093
 
14.5%
미제공 290
 
3.9%
해당없음 266
 
3.5%

Length

2023-12-13T05:42:57.444733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:42:57.610327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제공 5867
78.1%
na 1093
 
14.5%
미제공 290
 
3.9%
해당없음 266
 
3.5%

취급품목
Text

MISSING 

Distinct363
Distinct (%)5.0%
Missing196
Missing (%)2.6%
Memory size58.8 KiB
2023-12-13T05:42:57.811547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length84
Mean length8.7124317
Min length2

Characters and Unicode

Total characters63775
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

Unique224 ?
Unique (%)3.1%

Sample

1st row의류/패션/잡화/뷰티
2nd row종합몰 교육/도서/완구/오락 가전 컴퓨터/사무용품 가구/수납용품 건강/식품
3rd row기타
4th row의류/패션/잡화/뷰티
5th row기타
ValueCountFrequency (%)
의류/패션/잡화/뷰티 2603
26.1%
종합몰 2348
23.5%
기타 1713
17.2%
건강/식품 1117
11.2%
교육/도서/완구/오락 466
 
4.7%
컴퓨터/사무용품 368
 
3.7%
가전 348
 
3.5%
가구/수납용품 339
 
3.4%
자동차/자동차용품 307
 
3.1%
레져/여행/공연 240
 
2.4%
Other values (2) 126
 
1.3%
2023-12-13T05:42:58.267199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 11876
18.6%
2655
 
4.2%
화 2603
 
4.1%
류 2603
 
4.1%
티 2603
 
4.1%
뷰 2603
 
4.1%
의 2603
 
4.1%
잡 2603
 
4.1%
션 2603
 
4.1%
패 2603
 
4.1%
Other values (40) 28420
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49244
77.2%
Other Punctuation 11876
 
18.6%
Space Separator 2655
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 2603
 
5.3%
류 2603
 
5.3%
티 2603
 
5.3%
뷰 2603
 
5.3%
의 2603
 
5.3%
잡 2603
 
5.3%
션 2603
 
5.3%
패 2603
 
5.3%
종 2348
 
4.8%
합 2348
 
4.8%
Other values (38) 23724
48.2%
Other Punctuation
ValueCountFrequency (%)
/ 11876
100.0%
Space Separator
ValueCountFrequency (%)
2655
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49244
77.2%
Common 14531
 
22.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 2603
 
5.3%
류 2603
 
5.3%
티 2603
 
5.3%
뷰 2603
 
5.3%
의 2603
 
5.3%
잡 2603
 
5.3%
션 2603
 
5.3%
패 2603
 
5.3%
종 2348
 
4.8%
합 2348
 
4.8%
Other values (38) 23724
48.2%
Common
ValueCountFrequency (%)
/ 11876
81.7%
2655
 
18.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49244
77.2%
ASCII 14531
 
22.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 11876
81.7%
2655
 
18.3%
Hangul
ValueCountFrequency (%)
화 2603
 
5.3%
류 2603
 
5.3%
티 2603
 
5.3%
뷰 2603
 
5.3%
의 2603
 
5.3%
잡 2603
 
5.3%
션 2603
 
5.3%
패 2603
 
5.3%
종 2348
 
4.8%
합 2348
 
4.8%
Other values (38) 23724
48.2%

판매방식
Categorical

IMBALANCE 

Distinct42
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size58.8 KiB
인터넷
6714 
인터넷 기타
 
214
<NA>
 
201
기타
 
85
TV홈쇼핑+인터넷+카탈로그+신문잡지+기타
 
32
Other values (37)
 
270

Length

Max length22
Median length3
Mean length3.4584886
Min length2

Unique

Unique12 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
인터넷 6714
89.3%
인터넷 기타 214
 
2.8%
<NA> 201
 
2.7%
기타 85
 
1.1%
TV홈쇼핑+인터넷+카탈로그+신문잡지+기타 32
 
0.4%
인터넷 TV홈쇼핑 32
 
0.4%
인터넷 카탈로그 31
 
0.4%
TV홈쇼핑 31
 
0.4%
인터넷+기타 22
 
0.3%
인터넷 TV홈쇼핑 카탈로그 신문잡지 기타 21
 
0.3%
Other values (32) 133
 
1.8%

Length

2023-12-13T05:42:58.491879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
인터넷 7097
87.9%
기타 383
 
4.7%
na 201
 
2.5%
카탈로그 119
 
1.5%
tv홈쇼핑 111
 
1.4%
신문잡지 72
 
0.9%
tv홈쇼핑+인터넷+카탈로그+신문잡지+기타 32
 
0.4%
인터넷+기타 22
 
0.3%
tv홈쇼핑+인터넷 20
 
0.2%
tv홈쇼핑+인터넷+카탈로그+기타 6
 
0.1%
Other values (6) 13
 
0.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size58.8 KiB
2023-06-28
7516 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-28
2nd row2023-06-28
3rd row2023-06-28
4th row2023-06-28
5th row2023-06-28

Common Values

ValueCountFrequency (%)
2023-06-28 7516
100.0%

Length

2023-12-13T05:42:58.668905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:42:58.803523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-28 7516
100.0%

Interactions

2023-12-13T05:42:52.157688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:42:58.886167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호도메인유형구매안전서비스여부판매방식
번호1.0000.6010.6330.214
도메인유형0.6011.0000.6530.189
구매안전서비스여부0.6330.6531.0000.176
판매방식0.2140.1890.1761.000
2023-12-13T05:42:59.012376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
판매방식구매안전서비스여부도메인유형
판매방식1.0000.0820.097
구매안전서비스여부0.0821.0000.678
도메인유형0.0970.6781.000
2023-12-13T05:42:59.144672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호도메인유형구매안전서비스여부판매방식
번호1.0000.4050.4800.075
도메인유형0.4051.0000.6780.097
구매안전서비스여부0.4800.6781.0000.082
판매방식0.0750.0970.0821.000

Missing values

2023-12-13T05:42:52.356348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:42:52.573452image/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.
2023-12-13T05:42:52.778000image/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

번호상호명운영상태소재지주소도메인명도메인유형구매안전서비스여부취급품목판매방식데이터기준일자
01멜리정상영업경상북도 구미시 인동43길 22-42， 206동 1203호 (구평동， 2단지부영아파트)https://smartstore.naver.com/melle_day오픈제공의류/패션/잡화/뷰티인터넷2023-06-28
12리빙드림몰정상영업경상북도 구미시 해마루공원로 80， 108동 201호 (옥계동， 중흥에스-클래스에듀힐스)쿠팡오픈제공종합몰 교육/도서/완구/오락 가전 컴퓨터/사무용품 가구/수납용품 건강/식품인터넷2023-06-28
23멍푸치노정상영업경상북도 구미시 산동읍 신당4로 56， 2동 1층 102호 (쌍용예가 더파크)그립오픈제공기타인터넷2023-06-28
34레이구매대행정상영업경상북도 구미시 신시로16길 141， 103동 201호 (송정동， 삼성장미아파트)쿠팡오픈제공의류/패션/잡화/뷰티인터넷2023-06-28
45오빠숯불닭갈비정상영업경상북도 구미시 인동28길 19-6， 1층 (진평동)네이버스마트스토어오픈제공기타인터넷2023-06-28
56스마일전자정상영업경상북도 구미시 신비로 153-7， 1층 (비산동)옥션/G마켓/11번가오픈제공종합몰 가전 컴퓨터/사무용품 가구/수납용품TV홈쇼핑+인터넷2023-06-28
67드리머스 코퍼레이션정상영업경상북도 구미시 신시로16길 141， 1동 607호 (송정동， 삼성장미아파트)g마켓/옥션오픈제공종합몰인터넷2023-06-28
78돈버는행동정상영업경상북도 구미시 백산로5길 26， 102동 208호 (송정동， 벨라맨션)스마트스토어오픈제공종합몰인터넷2023-06-28
89이상한창고정상영업경상북도 구미시 수출대로35길 8-36， 다온사파이어 503호 (인의동)스마트스토어오픈제공종합몰인터넷2023-06-28
910라이트문자정상영업경상북도 구미시 형곡서로1길 27-1， 2층 237호 (형곡동)https://www.lightmunja.com/오픈제공기타인터넷2023-06-28
번호상호명운영상태소재지주소도메인명도메인유형구매안전서비스여부취급품목판매방식데이터기준일자
75067507아이엠지정상영업경상북도 구미시 신평동70-255없음해당없음해당없음<NA><NA>2023-06-28
75077508좋은물건 shop정상영업경상북도 구미시 임은동 335-1없음해당없음해당없음<NA><NA>2023-06-28
75087509좋은물건 샵정상영업경상북도 구미시 형곡동 143-5 형곡오딧세이101/1426호없음해당없음해당없음<NA><NA>2023-06-28
75097510파인 샵정상영업경상북도 구미시 고아읍 문성리 문화청솔@101/407호없음해당없음해당없음<NA><NA>2023-06-28
75107511삶의향기정상영업경상북도 구미시 형곡동 130-6 금마주택 931/103호없음해당없음해당없음<NA><NA>2023-06-28
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75137514무 을 공 방정상영업경상북도 구미시 선산읍 완전리180없음해당없음해당없음<NA><NA>2023-06-28
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