Overview

Dataset statistics

Number of variables10
Number of observations173
Missing cells127
Missing cells (%)7.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.8 KiB
Average record size in memory81.7 B

Variable types

Numeric1
Text5
DateTime1
Categorical3

Dataset

Description광주광역시에 등록된 후원방문판매업체 현황입니다. 상호, 등록번호, 소재지도로명주소, 전화번호, 취급품목 등의 항목을 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/3083082/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소비자피해보상보험면제여부 is highly overall correlated with 취급품목High correlation
취급품목 is highly overall correlated with 소비자피해보상보험면제여부High correlation
전화번호 has 127 (73.4%) missing valuesMissing
연번 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:26:53.812176
Analysis finished2024-03-14 19:26:55.936092
Duration2.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87
Minimum1
Maximum173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-15T04:26:56.138202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.6
Q144
median87
Q3130
95-th percentile164.4
Maximum173
Range172
Interquartile range (IQR)86

Descriptive statistics

Standard deviation50.084928
Coefficient of variation (CV)0.57568883
Kurtosis-1.2
Mean87
Median Absolute Deviation (MAD)43
Skewness0
Sum15051
Variance2508.5
MonotonicityStrictly increasing
2024-03-15T04:26:56.621756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
120 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
Other values (163) 163
94.2%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%

상호
Text

Distinct171
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-15T04:26:57.632338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length15
Mean length7.9421965
Min length2

Characters and Unicode

Total characters1374
Distinct characters250
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

Unique169 ?
Unique (%)97.7%

Sample

1st row쥬단학서부대리점
2nd row유니베라남양알로에
3rd row유니베라(북구대리점)
4th row유니베라남양알로에상무점 유한회사
5th row유한회사 다영
ValueCountFrequency (%)
인셀덤 34
 
12.7%
주식회사 9
 
3.4%
대리점 5
 
1.9%
아모레퍼시픽 5
 
1.9%
파이진 4
 
1.5%
오휘 4
 
1.5%
유한회사 4
 
1.5%
광주 3
 
1.1%
라이프 2
 
0.7%
한국화장품 2
 
0.7%
Other values (186) 196
73.1%
2024-03-15T04:26:59.000219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
6.9%
인 72
 
5.2%
셀 67
 
4.9%
덤 67
 
4.9%
점 56
 
4.1%
이 40
 
2.9%
주 40
 
2.9%
리 35
 
2.5%
광 28
 
2.0%
대 26
 
1.9%
Other values (240) 848
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1189
86.5%
Space Separator 95
 
6.9%
Uppercase Letter 27
 
2.0%
Lowercase Letter 23
 
1.7%
Close Punctuation 13
 
0.9%
Open Punctuation 12
 
0.9%
Other Punctuation 10
 
0.7%
Other Symbol 2
 
0.1%
Decimal Number 2
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 72
 
6.1%
셀 67
 
5.6%
덤 67
 
5.6%
점 56
 
4.7%
이 40
 
3.4%
주 40
 
3.4%
리 35
 
2.9%
광 28
 
2.4%
대 26
 
2.2%
파 24
 
2.0%
Other values (199) 734
61.7%
Uppercase Letter
ValueCountFrequency (%)
B 6
22.2%
A 3
11.1%
S 2
 
7.4%
G 2
 
7.4%
V 2
 
7.4%
Y 1
 
3.7%
J 1
 
3.7%
M 1
 
3.7%
I 1
 
3.7%
U 1
 
3.7%
Other values (7) 7
25.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
17.4%
n 3
13.0%
i 3
13.0%
o 2
8.7%
r 2
8.7%
l 2
8.7%
c 2
8.7%
d 1
 
4.3%
y 1
 
4.3%
m 1
 
4.3%
Other values (2) 2
8.7%
Other Punctuation
ValueCountFrequency (%)
& 3
30.0%
＆ 3
30.0%
, 2
20.0%
/ 1
 
10.0%
. 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1191
86.7%
Common 133
 
9.7%
Latin 50
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 72
 
6.0%
셀 67
 
5.6%
덤 67
 
5.6%
점 56
 
4.7%
이 40
 
3.4%
주 40
 
3.4%
리 35
 
2.9%
광 28
 
2.4%
대 26
 
2.2%
파 24
 
2.0%
Other values (200) 736
61.8%
Latin
ValueCountFrequency (%)
B 6
 
12.0%
e 4
 
8.0%
A 3
 
6.0%
n 3
 
6.0%
i 3
 
6.0%
S 2
 
4.0%
o 2
 
4.0%
G 2
 
4.0%
r 2
 
4.0%
V 2
 
4.0%
Other values (19) 21
42.0%
Common
ValueCountFrequency (%)
95
71.4%
) 13
 
9.8%
( 12
 
9.0%
& 3
 
2.3%
＆ 3
 
2.3%
, 2
 
1.5%
1 1
 
0.8%
- 1
 
0.8%
/ 1
 
0.8%
. 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1189
86.5%
ASCII 180
 
13.1%
None 5
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
52.8%
) 13
 
7.2%
( 12
 
6.7%
B 6
 
3.3%
e 4
 
2.2%
A 3
 
1.7%
& 3
 
1.7%
n 3
 
1.7%
i 3
 
1.7%
S 2
 
1.1%
Other values (29) 36
 
20.0%
Hangul
ValueCountFrequency (%)
인 72
 
6.1%
셀 67
 
5.6%
덤 67
 
5.6%
점 56
 
4.7%
이 40
 
3.4%
주 40
 
3.4%
리 35
 
2.9%
광 28
 
2.4%
대 26
 
2.2%
파 24
 
2.0%
Other values (199) 734
61.7%
None
ValueCountFrequency (%)
＆ 3
60.0%
㈜ 2
40.0%

등록일자
Date

Distinct98
Distinct (%)56.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2013-06-25 00:00:00
Maximum2024-01-31 00:00:00
2024-03-15T04:26:59.401738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:26:59.836884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록번호
Text

UNIQUE 

Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-15T04:27:01.026267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.612717
Min length11

Characters and Unicode

Total characters2182
Distinct characters17
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

Unique173 ?
Unique (%)100.0%

Sample

1st row광주-2013-제2호
2nd row광주-2013-제6호
3rd row광주-2013-제7호
4th row광주-2013-제9호
5th row광주-2013-제10호
ValueCountFrequency (%)
광주 136
44.0%
2022후-제31호 1
 
0.3%
2023후-제2호 1
 
0.3%
2023후-제3호 1
 
0.3%
2023후-제4호 1
 
0.3%
2023후-제7호 1
 
0.3%
2023후-제8호 1
 
0.3%
2023후-제10호 1
 
0.3%
2023후-제11호 1
 
0.3%
2023후-제14호 1
 
0.3%
Other values (164) 164
53.1%
2024-03-15T04:27:03.060348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 376
17.2%
- 210
9.6%
0 201
9.2%
광 173
7.9%
제 173
7.9%
주 173
7.9%
호 173
7.9%
137
 
6.3%
후 136
 
6.2%
3 125
 
5.7%
Other values (7) 305
14.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1007
46.2%
Other Letter 828
37.9%
Dash Punctuation 210
 
9.6%
Space Separator 137
 
6.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 376
37.3%
0 201
20.0%
3 125
 
12.4%
1 106
 
10.5%
6 47
 
4.7%
4 41
 
4.1%
5 35
 
3.5%
7 30
 
3.0%
9 23
 
2.3%
8 23
 
2.3%
Other Letter
ValueCountFrequency (%)
광 173
20.9%
제 173
20.9%
주 173
20.9%
호 173
20.9%
후 136
16.4%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%
Space Separator
ValueCountFrequency (%)
137
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1354
62.1%
Hangul 828
37.9%

Most frequent character per script

Common
ValueCountFrequency (%)
2 376
27.8%
- 210
15.5%
0 201
14.8%
137
 
10.1%
3 125
 
9.2%
1 106
 
7.8%
6 47
 
3.5%
4 41
 
3.0%
5 35
 
2.6%
7 30
 
2.2%
Other values (2) 46
 
3.4%
Hangul
ValueCountFrequency (%)
광 173
20.9%
제 173
20.9%
주 173
20.9%
호 173
20.9%
후 136
16.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1354
62.1%
Hangul 828
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 376
27.8%
- 210
15.5%
0 201
14.8%
137
 
10.1%
3 125
 
9.2%
1 106
 
7.8%
6 47
 
3.5%
4 41
 
3.0%
5 35
 
2.6%
7 30
 
2.2%
Other values (2) 46
 
3.4%
Hangul
ValueCountFrequency (%)
광 173
20.9%
제 173
20.9%
주 173
20.9%
호 173
20.9%
후 136
16.4%

소재지도로명주소
Text

Distinct169
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-15T04:27:04.368606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length35.745665
Min length20

Characters and Unicode

Total characters6184
Distinct characters243
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)95.4%

Sample

1st row광주광역시 광산구 광산로89번길 15, 402(송정황태자빌)
2nd row광주광역시 북구 동운로213번길 31, 8층 (운암동)
3rd row광주광역시 북구 동문대로 162, 5층(두암동)
4th row광주광역시 서구 상무중앙로 7, 7층 (치평동)
5th row광주광역시 동구 금남로 184, 6층(금남로5가)
ValueCountFrequency (%)
광주광역시 173
 
16.1%
광산구 44
 
4.1%
서구 39
 
3.6%
북구 39
 
3.6%
남구 26
 
2.4%
동구 25
 
2.3%
101동 11
 
1.0%
1층 9
 
0.8%
2층 9
 
0.8%
102동 8
 
0.7%
Other values (509) 693
64.4%
2024-03-15T04:27:06.030502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
905
 
14.6%
광 399
 
6.5%
1 302
 
4.9%
동 286
 
4.6%
, 237
 
3.8%
0 219
 
3.5%
주 191
 
3.1%
시 184
 
3.0%
2 178
 
2.9%
구 177
 
2.9%
Other values (233) 3106
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3396
54.9%
Decimal Number 1245
 
20.1%
Space Separator 905
 
14.6%
Other Punctuation 237
 
3.8%
Close Punctuation 173
 
2.8%
Open Punctuation 173
 
2.8%
Dash Punctuation 38
 
0.6%
Uppercase Letter 16
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 399
 
11.7%
동 286
 
8.4%
주 191
 
5.6%
시 184
 
5.4%
구 177
 
5.2%
역 173
 
5.1%
로 170
 
5.0%
호 118
 
3.5%
산 79
 
2.3%
길 71
 
2.1%
Other values (204) 1548
45.6%
Uppercase Letter
ValueCountFrequency (%)
S 2
12.5%
E 2
12.5%
C 2
12.5%
V 1
 
6.2%
B 1
 
6.2%
L 1
 
6.2%
N 1
 
6.2%
T 1
 
6.2%
R 1
 
6.2%
W 1
 
6.2%
Other values (3) 3
18.8%
Decimal Number
ValueCountFrequency (%)
1 302
24.3%
0 219
17.6%
2 178
14.3%
3 141
11.3%
6 95
 
7.6%
4 83
 
6.7%
5 83
 
6.7%
8 55
 
4.4%
7 54
 
4.3%
9 35
 
2.8%
Space Separator
ValueCountFrequency (%)
905
100.0%
Other Punctuation
ValueCountFrequency (%)
, 237
100.0%
Close Punctuation
ValueCountFrequency (%)
) 173
100.0%
Open Punctuation
ValueCountFrequency (%)
( 173
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3396
54.9%
Common 2772
44.8%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 399
 
11.7%
동 286
 
8.4%
주 191
 
5.6%
시 184
 
5.4%
구 177
 
5.2%
역 173
 
5.1%
로 170
 
5.0%
호 118
 
3.5%
산 79
 
2.3%
길 71
 
2.1%
Other values (204) 1548
45.6%
Common
ValueCountFrequency (%)
905
32.6%
1 302
 
10.9%
, 237
 
8.5%
0 219
 
7.9%
2 178
 
6.4%
) 173
 
6.2%
( 173
 
6.2%
3 141
 
5.1%
6 95
 
3.4%
4 83
 
3.0%
Other values (6) 266
 
9.6%
Latin
ValueCountFrequency (%)
S 2
12.5%
E 2
12.5%
C 2
12.5%
V 1
 
6.2%
B 1
 
6.2%
L 1
 
6.2%
N 1
 
6.2%
T 1
 
6.2%
R 1
 
6.2%
W 1
 
6.2%
Other values (3) 3
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3396
54.9%
ASCII 2788
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
905
32.5%
1 302
 
10.8%
, 237
 
8.5%
0 219
 
7.9%
2 178
 
6.4%
) 173
 
6.2%
( 173
 
6.2%
3 141
 
5.1%
6 95
 
3.4%
4 83
 
3.0%
Other values (19) 282
 
10.1%
Hangul
ValueCountFrequency (%)
광 399
 
11.7%
동 286
 
8.4%
주 191
 
5.6%
시 184
 
5.4%
구 177
 
5.2%
역 173
 
5.1%
로 170
 
5.0%
호 118
 
3.5%
산 79
 
2.3%
길 71
 
2.1%
Other values (204) 1548
45.6%

전화번호
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing127
Missing (%)73.4%
Memory size1.5 KiB
2024-03-15T04:27:07.052670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.76087
Min length9

Characters and Unicode

Total characters541
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row062-944-3926
2nd row062-513-3800
3rd row062-268-7755
4th row062-373-0058
5th row062-227-6311
ValueCountFrequency (%)
1588-4484 1
 
2.2%
1588-2219 1
 
2.2%
062-374-7401 1
 
2.2%
062-675-9301 1
 
2.2%
02-3416-4800 1
 
2.2%
062-671-7025 1
 
2.2%
070-7786-1602 1
 
2.2%
062-971-5225 1
 
2.2%
062-232-8247 1
 
2.2%
062-528-0365 1
 
2.2%
Other values (36) 36
78.3%
2024-03-15T04:27:08.454817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 88
16.3%
2 79
14.6%
0 75
13.9%
6 72
13.3%
5 43
7.9%
3 41
7.6%
7 37
6.8%
8 35
 
6.5%
1 26
 
4.8%
9 23
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 453
83.7%
Dash Punctuation 88
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 79
17.4%
0 75
16.6%
6 72
15.9%
5 43
9.5%
3 41
9.1%
7 37
8.2%
8 35
7.7%
1 26
 
5.7%
9 23
 
5.1%
4 22
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 541
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 88
16.3%
2 79
14.6%
0 75
13.9%
6 72
13.3%
5 43
7.9%
3 41
7.6%
7 37
6.8%
8 35
 
6.5%
1 26
 
4.8%
9 23
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 541
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 88
16.3%
2 79
14.6%
0 75
13.9%
6 72
13.3%
5 43
7.9%
3 41
7.6%
7 37
6.8%
8 35
 
6.5%
1 26
 
4.8%
9 23
 
4.3%

대표자
Text

Distinct171
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-15T04:27:09.839910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0578035
Min length2

Characters and Unicode

Total characters529
Distinct characters125
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

Unique169 ?
Unique (%)97.7%

Sample

1st row최윤기
2nd row박명수
3rd row오명철
4th row신영승
5th row김옥덕
ValueCountFrequency (%)
김연숙 2
 
1.1%
강성희 2
 
1.1%
윤현아 1
 
0.6%
윤선희 1
 
0.6%
고영재 1
 
0.6%
백계선 1
 
0.6%
양라안 1
 
0.6%
장서경 1
 
0.6%
고희정 1
 
0.6%
김동진 1
 
0.6%
Other values (162) 162
93.1%
2024-03-15T04:27:11.408726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 43
 
8.1%
정 33
 
6.2%
영 20
 
3.8%
이 19
 
3.6%
미 17
 
3.2%
희 17
 
3.2%
숙 15
 
2.8%
지 15
 
2.8%
박 14
 
2.6%
경 13
 
2.5%
Other values (115) 323
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 526
99.4%
Other Punctuation 2
 
0.4%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 43
 
8.2%
정 33
 
6.3%
영 20
 
3.8%
이 19
 
3.6%
미 17
 
3.2%
희 17
 
3.2%
숙 15
 
2.9%
지 15
 
2.9%
박 14
 
2.7%
경 13
 
2.5%
Other values (113) 320
60.8%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 526
99.4%
Common 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 43
 
8.2%
정 33
 
6.3%
영 20
 
3.8%
이 19
 
3.6%
미 17
 
3.2%
희 17
 
3.2%
숙 15
 
2.9%
지 15
 
2.9%
박 14
 
2.7%
경 13
 
2.5%
Other values (113) 320
60.8%
Common
ValueCountFrequency (%)
, 2
66.7%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 526
99.4%
ASCII 3
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 43
 
8.2%
정 33
 
6.3%
영 20
 
3.8%
이 19
 
3.6%
미 17
 
3.2%
희 17
 
3.2%
숙 15
 
2.9%
지 15
 
2.9%
박 14
 
2.7%
경 13
 
2.5%
Other values (113) 320
60.8%
ASCII
ValueCountFrequency (%)
, 2
66.7%
1
33.3%

소비자피해보상보험면제여부
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
채무지급보증계약((주)리만코리아-직접판매공제조합)
69 
채무지급보증계약(㈜파이진글로벌-한국특수판매공제조합)
38 
면제
31 
한국특수판매공제조합
20 
보험계약(농협)
8 
Other values (3)
7 

Length

Max length34
Median length28
Mean length19.763006
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
채무지급보증계약((주)리만코리아-직접판매공제조합) 69
39.9%
채무지급보증계약(㈜파이진글로벌-한국특수판매공제조합) 38
22.0%
면제 31
17.9%
한국특수판매공제조합 20
 
11.6%
보험계약(농협) 8
 
4.6%
보험계약(하나은행) 3
 
1.7%
채무지급보증계약(엑소바이옴코리아 주식회사-한국특수판매공제조합) 3
 
1.7%
채무지급보증계약(주식회사 메타이십일글로벌-한국특수판매공제조합) 1
 
0.6%

Length

2024-03-15T04:27:11.650002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:27:11.874082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
채무지급보증계약((주)리만코리아-직접판매공제조합 69
39.0%
채무지급보증계약(㈜파이진글로벌-한국특수판매공제조합 38
21.5%
면제 31
17.5%
한국특수판매공제조합 20
 
11.3%
보험계약(농협 8
 
4.5%
보험계약(하나은행 3
 
1.7%
채무지급보증계약(엑소바이옴코리아 3
 
1.7%
주식회사-한국특수판매공제조합 3
 
1.7%
채무지급보증계약(주식회사 1
 
0.6%
메타이십일글로벌-한국특수판매공제조합 1
 
0.6%

취급품목
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
화장품/미용용품
86 
건강식품, 화장품/미용용품
47 
건강식품,화장품
11 
건강식품,화장품,생활용품,기타
9 
건강식품,화장품,기타
 
4
Other values (13)
16 

Length

Max length39
Median length8
Mean length10.421965
Min length2

Unique

Unique10 ?
Unique (%)5.8%

Sample

1st row화장품
2nd row건강식품,화장품
3rd row건강식품,화장품
4th row건강식품,화장품
5th row건강식품,화장품

Common Values

ValueCountFrequency (%)
화장품/미용용품 86
49.7%
건강식품, 화장품/미용용품 47
27.2%
건강식품,화장품 11
 
6.4%
건강식품,화장품,생활용품,기타 9
 
5.2%
건강식품,화장품,기타 4
 
2.3%
화장품 2
 
1.2%
건강식품,화장품,생활용품 2
 
1.2%
화장품,건강식품 2
 
1.2%
건강식품, 화장품/미이용품 1
 
0.6%
기타 1
 
0.6%
Other values (8) 8
 
4.6%

Length

2024-03-15T04:27:12.236080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화장품/미용용품 136
58.9%
건강식품 52
 
22.5%
건강식품,화장품 11
 
4.8%
건강식품,화장품,생활용품,기타 9
 
3.9%
건강식품,화장품,기타 4
 
1.7%
화장품 3
 
1.3%
건강식품,화장품,생활용품 2
 
0.9%
화장품,건강식품 2
 
0.9%
화장품/미이용품 2
 
0.9%
기타 2
 
0.9%
Other values (6) 8
 
3.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-31
173 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-31
2nd row2024-01-31
3rd row2024-01-31
4th row2024-01-31
5th row2024-01-31

Common Values

ValueCountFrequency (%)
2024-01-31 173
100.0%

Length

2024-03-15T04:27:12.476875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:27:12.650862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-31 173
100.0%

Interactions

2024-03-15T04:26:54.795271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:27:12.822932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번등록일자전화번호소비자피해보상보험면제여부취급품목
연번1.0000.9961.0000.7170.686
등록일자0.9961.0001.0001.0000.998
전화번호1.0001.0001.0001.0001.000
소비자피해보상보험면제여부0.7171.0001.0001.0000.880
취급품목0.6860.9981.0000.8801.000
2024-03-15T04:27:13.105227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소비자피해보상보험면제여부취급품목
소비자피해보상보험면제여부1.0000.610
취급품목0.6101.000
2024-03-15T04:27:13.334721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번소비자피해보상보험면제여부취급품목
연번1.0000.4440.334
소비자피해보상보험면제여부0.4441.0000.610
취급품목0.3340.6101.000

Missing values

2024-03-15T04:26:55.194853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:26:55.733065image/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

연번상호등록일자등록번호소재지도로명주소전화번호대표자소비자피해보상보험면제여부취급품목데이터기준일자
01쥬단학서부대리점2013-06-25광주-2013-제2호광주광역시 광산구 광산로89번길 15, 402(송정황태자빌)062-944-3926최윤기면제화장품2024-01-31
12유니베라남양알로에2013-07-30광주-2013-제6호광주광역시 북구 동운로213번길 31, 8층 (운암동)062-513-3800박명수면제건강식품,화장품2024-01-31
23유니베라(북구대리점)2013-07-30광주-2013-제7호광주광역시 북구 동문대로 162, 5층(두암동)062-268-7755오명철면제건강식품,화장품2024-01-31
34유니베라남양알로에상무점 유한회사2013-07-30광주-2013-제9호광주광역시 서구 상무중앙로 7, 7층 (치평동)062-373-0058신영승면제건강식품,화장품2024-01-31
45유한회사 다영2013-07-30광주-2013-제10호광주광역시 동구 금남로 184, 6층(금남로5가)062-227-6311김옥덕면제건강식품,화장품2024-01-31
56유니베라(유)남주2013-07-30광주-2013-제12호광주광역시 남구 경열로 84(월산동)062-366-3008박영주면제건강식품,화장품2024-01-31
67무등생활건강2013-08-02광주-2013-제26호광주광역시 서구 화운로 99, 2층(화정동)062-652-7580김은옥면제건강식품,화장품,기타2024-01-31
78건강생활 서광주지점2013-08-02광주-2013-제27호광주광역시 서구 상무대로1057번길 6, 2층(화정동)062-381-2343최정이면제건강식품,화장품,기타2024-01-31
89건강생활 광주지점2013-08-02광주-2013-제29호광주광역시 동구 금남로 181, 6층(금남로5가)062-228-3470김대홍면제건강식품,화장품,기타2024-01-31
910아모레퍼시픽 빛고을특약점2013-08-07광주-2013-제41호광주광역시 북구 서하로 207(오치동)062-233-6011박안자한국특수판매공제조합건강식품,화장품,생활용품2024-01-31
연번상호등록일자등록번호소재지도로명주소전화번호대표자소비자피해보상보험면제여부취급품목데이터기준일자
163164오휘 금호지사2023-11-06광주 2023후-제65호광주광역시 서구 운천로100번길 7 (쌍촌동)062-365-4007정혜정한국특수판매공제조합건강식품, 화장품/미용용품2024-01-31
164165드림점2023-11-14광주 2023후-제66호광주광역시 남구 봉선로133번길 4, 1동 802호 (봉선동,금호타운아파트)<NA>정정임채무지급보증계약((주)리만코리아-직접판매공제조합)화장품/미용용품2024-01-31
165166인셀덤광주 효담대리점2023-11-14광주 2023후-제67호광주광역시 북구 서하로 87-5, 401호 (매곡동)<NA>최향희채무지급보증계약((주)리만코리아-직접판매공제조합)화장품/미용용품2024-01-31
166167베르파크2023-12-15광주 2023후-제68호광주광역시 동구 육판서길 16, 103동 1803호 (내남동,내남1차 진아리채)<NA>조지영채무지급보증계약((주)리만코리아-직접판매공제조합)화장품/미용용품2024-01-31
167168지니어스2023-12-15광주 2023후-제69호광주광역시 광산구 임방울대로825번길 60-6, 104동 2803호 (쌍암동,첨단중해마루힐)<NA>황혜진채무지급보증계약((주)리만코리아-직접판매공제조합)화장품/미용용품2024-01-31
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