Overview

Dataset statistics

Number of variables7
Number of observations603
Missing cells534
Missing cells (%)12.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.7 KiB
Average record size in memory57.2 B

Variable types

Numeric1
Text5
Categorical1

Dataset

Description2023. 8. 1. 기준 인천광역시 후원 방문판매업 등록 현황입니다. -------------------------------------------
URLhttps://www.data.go.kr/data/15103012/fileData.do

Alerts

주요 취급품목 is highly imbalanced (56.0%)Imbalance
연락처 has 534 (88.6%) missing valuesMissing
연번 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:24:42.712728
Analysis finished2023-12-12 20:24:43.750693
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct603
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302
Minimum1
Maximum603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2023-12-13T05:24:43.839415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile31.1
Q1151.5
median302
Q3452.5
95-th percentile572.9
Maximum603
Range602
Interquartile range (IQR)301

Descriptive statistics

Standard deviation174.21538
Coefficient of variation (CV)0.57687213
Kurtosis-1.2
Mean302
Median Absolute Deviation (MAD)151
Skewness0
Sum182106
Variance30351
MonotonicityStrictly increasing
2023-12-13T05:24:44.007555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
398 1
 
0.2%
400 1
 
0.2%
401 1
 
0.2%
402 1
 
0.2%
403 1
 
0.2%
404 1
 
0.2%
405 1
 
0.2%
406 1
 
0.2%
407 1
 
0.2%
Other values (593) 593
98.3%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
603 1
0.2%
602 1
0.2%
601 1
0.2%
600 1
0.2%
599 1
0.2%
598 1
0.2%
597 1
0.2%
596 1
0.2%
595 1
0.2%
594 1
0.2%

상호
Text

Distinct568
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T05:24:44.399922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length7.9718076
Min length2

Characters and Unicode

Total characters4807
Distinct characters415
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique559 ?
Unique (%)92.7%

Sample

1st row한국화장품 계산지사
2nd row중구상사
3rd row한국화장품부평대리점
4th row건강생활계산지점
5th row인천부평건강생활
ValueCountFrequency (%)
인셀덤 300
28.2%
대리점 35
 
3.3%
코리아 20
 
1.9%
인셀덤코리아 10
 
0.9%
뷰티 9
 
0.8%
더 5
 
0.5%
오휘 5
 
0.5%
incellderm 4
 
0.4%
빛나 4
 
0.4%
아모레퍼시픽 4
 
0.4%
Other values (616) 668
62.8%
2023-12-13T05:24:44.945083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
461
 
9.6%
인 442
 
9.2%
셀 391
 
8.1%
덤 385
 
8.0%
점 174
 
3.6%
리 158
 
3.3%
아 88
 
1.8%
대 76
 
1.6%
티 71
 
1.5%
라 59
 
1.2%
Other values (405) 2502
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3823
79.5%
Space Separator 461
 
9.6%
Uppercase Letter 208
 
4.3%
Lowercase Letter 175
 
3.6%
Close Punctuation 48
 
1.0%
Open Punctuation 48
 
1.0%
Decimal Number 25
 
0.5%
Dash Punctuation 8
 
0.2%
Other Punctuation 7
 
0.1%
Other Symbol 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 442
 
11.6%
셀 391
 
10.2%
덤 385
 
10.1%
점 174
 
4.6%
리 158
 
4.1%
아 88
 
2.3%
대 76
 
2.0%
티 71
 
1.9%
라 59
 
1.5%
스 59
 
1.5%
Other values (342) 1920
50.2%
Lowercase Letter
ValueCountFrequency (%)
e 31
17.7%
i 17
9.7%
a 14
 
8.0%
o 13
 
7.4%
l 12
 
6.9%
c 11
 
6.3%
h 10
 
5.7%
u 9
 
5.1%
n 9
 
5.1%
r 8
 
4.6%
Other values (13) 41
23.4%
Uppercase Letter
ValueCountFrequency (%)
E 24
 
11.5%
L 21
 
10.1%
R 16
 
7.7%
M 13
 
6.2%
I 13
 
6.2%
S 12
 
5.8%
C 12
 
5.8%
B 12
 
5.8%
N 12
 
5.8%
D 11
 
5.3%
Other values (13) 62
29.8%
Decimal Number
ValueCountFrequency (%)
1 10
40.0%
2 5
20.0%
0 3
 
12.0%
3 2
 
8.0%
6 2
 
8.0%
5 2
 
8.0%
9 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
& 5
71.4%
, 1
 
14.3%
. 1
 
14.3%
Space Separator
ValueCountFrequency (%)
461
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3821
79.5%
Common 599
 
12.5%
Latin 384
 
8.0%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 442
 
11.6%
셀 391
 
10.2%
덤 385
 
10.1%
점 174
 
4.6%
리 158
 
4.1%
아 88
 
2.3%
대 76
 
2.0%
티 71
 
1.9%
라 59
 
1.5%
스 59
 
1.5%
Other values (339) 1918
50.2%
Latin
ValueCountFrequency (%)
e 31
 
8.1%
E 24
 
6.2%
L 21
 
5.5%
i 17
 
4.4%
R 16
 
4.2%
a 14
 
3.6%
M 13
 
3.4%
o 13
 
3.4%
I 13
 
3.4%
S 12
 
3.1%
Other values (37) 210
54.7%
Common
ValueCountFrequency (%)
461
77.0%
) 48
 
8.0%
( 48
 
8.0%
1 10
 
1.7%
- 8
 
1.3%
2 5
 
0.8%
& 5
 
0.8%
0 3
 
0.5%
3 2
 
0.3%
6 2
 
0.3%
Other values (6) 7
 
1.2%
Han
ValueCountFrequency (%)
光 1
33.3%
姸 1
33.3%
顔 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3819
79.4%
ASCII 982
 
20.4%
None 3
 
0.1%
CJK 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
461
46.9%
) 48
 
4.9%
( 48
 
4.9%
e 31
 
3.2%
E 24
 
2.4%
L 21
 
2.1%
i 17
 
1.7%
R 16
 
1.6%
a 14
 
1.4%
M 13
 
1.3%
Other values (52) 289
29.4%
Hangul
ValueCountFrequency (%)
인 442
 
11.6%
셀 391
 
10.2%
덤 385
 
10.1%
점 174
 
4.6%
리 158
 
4.1%
아 88
 
2.3%
대 76
 
2.0%
티 71
 
1.9%
라 59
 
1.5%
스 59
 
1.5%
Other values (338) 1916
50.2%
None
ValueCountFrequency (%)
㈜ 2
66.7%
º 1
33.3%
CJK
ValueCountFrequency (%)
光 1
33.3%
姸 1
33.3%
顔 1
33.3%

등록번호
Text

UNIQUE 

Distinct603
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T05:24:45.340517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.517413
Min length9

Characters and Unicode

Total characters6945
Distinct characters14
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

Unique603 ?
Unique (%)100.0%

Sample

1st row인천-2013-1호
2nd row인천-2013-3호
3rd row인천-2013-4호
4th row인천-2013-7호
5th row인천-2013-9호
ValueCountFrequency (%)
인천-2013-1호 1
 
0.2%
인천-2022-143호 1
 
0.2%
인천-2022-147호 1
 
0.2%
인천-2022-152호 1
 
0.2%
인천-2022-154호 1
 
0.2%
인천-2022-155호 1
 
0.2%
인천-2022-158호 1
 
0.2%
인천-2022-159호 1
 
0.2%
인천-2022-160호 1
 
0.2%
인천-2022-161호 1
 
0.2%
Other values (593) 593
98.3%
2023-12-13T05:24:45.834752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1552
22.3%
- 1198
17.2%
0 779
11.2%
인 603
 
8.7%
천 603
 
8.7%
호 603
 
8.7%
1 538
 
7.7%
3 321
 
4.6%
4 144
 
2.1%
5 133
 
1.9%
Other values (4) 471
 
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3938
56.7%
Other Letter 1809
26.0%
Dash Punctuation 1198
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1552
39.4%
0 779
19.8%
1 538
 
13.7%
3 321
 
8.2%
4 144
 
3.7%
5 133
 
3.4%
7 129
 
3.3%
6 122
 
3.1%
8 115
 
2.9%
9 105
 
2.7%
Other Letter
ValueCountFrequency (%)
인 603
33.3%
천 603
33.3%
호 603
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5136
74.0%
Hangul 1809
 
26.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1552
30.2%
- 1198
23.3%
0 779
15.2%
1 538
 
10.5%
3 321
 
6.2%
4 144
 
2.8%
5 133
 
2.6%
7 129
 
2.5%
6 122
 
2.4%
8 115
 
2.2%
Hangul
ValueCountFrequency (%)
인 603
33.3%
천 603
33.3%
호 603
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5136
74.0%
Hangul 1809
 
26.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1552
30.2%
- 1198
23.3%
0 779
15.2%
1 538
 
10.5%
3 321
 
6.2%
4 144
 
2.8%
5 133
 
2.6%
7 129
 
2.5%
6 122
 
2.4%
8 115
 
2.2%
Hangul
ValueCountFrequency (%)
인 603
33.3%
천 603
33.3%
호 603
33.3%

대표자
Text

Distinct575
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T05:24:46.299174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length3
Mean length3.0978441
Min length2

Characters and Unicode

Total characters1868
Distinct characters196
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique550 ?
Unique (%)91.2%

Sample

1st row박순복
2nd row김혜기
3rd row서영석
4th row김미순
5th row이인숙
ValueCountFrequency (%)
이선화 4
 
0.7%
김나연 3
 
0.5%
김윤하 2
 
0.3%
김정원 2
 
0.3%
김정숙 2
 
0.3%
이유진 2
 
0.3%
김소연 2
 
0.3%
박정원 2
 
0.3%
최정민 2
 
0.3%
김민정 2
 
0.3%
Other values (570) 585
96.2%
2023-12-13T05:24:46.905559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 121
 
6.5%
이 105
 
5.6%
정 103
 
5.5%
박 56
 
3.0%
경 56
 
3.0%
영 54
 
2.9%
미 48
 
2.6%
은 47
 
2.5%
희 45
 
2.4%
숙 39
 
2.1%
Other values (186) 1194
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1789
95.8%
Uppercase Letter 73
 
3.9%
Space Separator 5
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 121
 
6.8%
이 105
 
5.9%
정 103
 
5.8%
박 56
 
3.1%
경 56
 
3.1%
영 54
 
3.0%
미 48
 
2.7%
은 47
 
2.6%
희 45
 
2.5%
숙 39
 
2.2%
Other values (168) 1115
62.3%
Uppercase Letter
ValueCountFrequency (%)
N 11
15.1%
U 10
13.7%
I 9
12.3%
H 7
9.6%
G 5
6.8%
S 5
6.8%
E 4
 
5.5%
A 4
 
5.5%
M 3
 
4.1%
W 3
 
4.1%
Other values (6) 12
16.4%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1789
95.8%
Latin 73
 
3.9%
Common 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 121
 
6.8%
이 105
 
5.9%
정 103
 
5.8%
박 56
 
3.1%
경 56
 
3.1%
영 54
 
3.0%
미 48
 
2.7%
은 47
 
2.6%
희 45
 
2.5%
숙 39
 
2.2%
Other values (168) 1115
62.3%
Latin
ValueCountFrequency (%)
N 11
15.1%
U 10
13.7%
I 9
12.3%
H 7
9.6%
G 5
6.8%
S 5
6.8%
E 4
 
5.5%
A 4
 
5.5%
M 3
 
4.1%
W 3
 
4.1%
Other values (6) 12
16.4%
Common
ValueCountFrequency (%)
5
83.3%
, 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1789
95.8%
ASCII 79
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 121
 
6.8%
이 105
 
5.9%
정 103
 
5.8%
박 56
 
3.1%
경 56
 
3.1%
영 54
 
3.0%
미 48
 
2.7%
은 47
 
2.6%
희 45
 
2.5%
숙 39
 
2.2%
Other values (168) 1115
62.3%
ASCII
ValueCountFrequency (%)
N 11
13.9%
U 10
12.7%
I 9
11.4%
H 7
8.9%
G 5
 
6.3%
5
 
6.3%
S 5
 
6.3%
E 4
 
5.1%
A 4
 
5.1%
M 3
 
3.8%
Other values (8) 16
20.3%

사업장 소재지
Text

Distinct597
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2023-12-13T05:24:47.431563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length52
Mean length39.79602
Min length20

Characters and Unicode

Total characters23997
Distinct characters414
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique591 ?
Unique (%)98.0%

Sample

1st row인천광역시 계양구 경명대로 1074, 304,305호(계산동,삼환1빌딩)
2nd row인천광역시 중구 서해대로454번길 5-1, 5층(신흥동2가, 대성신협)
3rd row인천광역시 남동구 문화로 145번길 15, 동인빌딩 1층(구월동)
4th row인천광역시 계양구 계양대로 101, 삼성프라자 203호(작전동)
5th row인천광역시 부평구 부평문화로 47, 301호(정경빌딩)
ValueCountFrequency (%)
인천광역시 603
 
15.1%
서구 128
 
3.2%
부평구 123
 
3.1%
남동구 96
 
2.4%
연수구 82
 
2.0%
미추홀구 67
 
1.7%
계양구 53
 
1.3%
중구 37
 
0.9%
101동 33
 
0.8%
103동 24
 
0.6%
Other values (1769) 2757
68.9%
2023-12-13T05:24:48.246727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3459
 
14.4%
1 1094
 
4.6%
동 1077
 
4.5%
, 1023
 
4.3%
0 859
 
3.6%
인 663
 
2.8%
2 662
 
2.8%
시 650
 
2.7%
구 638
 
2.7%
천 637
 
2.7%
Other values (404) 13235
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13320
55.5%
Decimal Number 4766
 
19.9%
Space Separator 3459
 
14.4%
Other Punctuation 1029
 
4.3%
Close Punctuation 587
 
2.4%
Open Punctuation 587
 
2.4%
Uppercase Letter 116
 
0.5%
Dash Punctuation 97
 
0.4%
Lowercase Letter 35
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1077
 
8.1%
인 663
 
5.0%
시 650
 
4.9%
구 638
 
4.8%
천 637
 
4.8%
광 618
 
4.6%
로 616
 
4.6%
역 611
 
4.6%
호 543
 
4.1%
길 254
 
1.9%
Other values (358) 7013
52.7%
Uppercase Letter
ValueCountFrequency (%)
A 17
14.7%
B 15
12.9%
L 12
10.3%
S 9
7.8%
E 9
7.8%
I 8
 
6.9%
C 8
 
6.9%
K 7
 
6.0%
W 5
 
4.3%
V 5
 
4.3%
Other values (10) 21
18.1%
Decimal Number
ValueCountFrequency (%)
1 1094
23.0%
0 859
18.0%
2 662
13.9%
3 499
10.5%
4 409
 
8.6%
5 326
 
6.8%
6 296
 
6.2%
8 224
 
4.7%
7 221
 
4.6%
9 176
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
e 16
45.7%
s 5
 
14.3%
a 4
 
11.4%
d 4
 
11.4%
r 4
 
11.4%
y 1
 
2.9%
k 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 1023
99.4%
' 4
 
0.4%
& 1
 
0.1%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3459
100.0%
Close Punctuation
ValueCountFrequency (%)
) 587
100.0%
Open Punctuation
ValueCountFrequency (%)
( 587
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13320
55.5%
Common 10526
43.9%
Latin 151
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1077
 
8.1%
인 663
 
5.0%
시 650
 
4.9%
구 638
 
4.8%
천 637
 
4.8%
광 618
 
4.6%
로 616
 
4.6%
역 611
 
4.6%
호 543
 
4.1%
길 254
 
1.9%
Other values (358) 7013
52.7%
Latin
ValueCountFrequency (%)
A 17
 
11.3%
e 16
 
10.6%
B 15
 
9.9%
L 12
 
7.9%
S 9
 
6.0%
E 9
 
6.0%
I 8
 
5.3%
C 8
 
5.3%
K 7
 
4.6%
W 5
 
3.3%
Other values (17) 45
29.8%
Common
ValueCountFrequency (%)
3459
32.9%
1 1094
 
10.4%
, 1023
 
9.7%
0 859
 
8.2%
2 662
 
6.3%
) 587
 
5.6%
( 587
 
5.6%
3 499
 
4.7%
4 409
 
3.9%
5 326
 
3.1%
Other values (9) 1021
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13320
55.5%
ASCII 10677
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3459
32.4%
1 1094
 
10.2%
, 1023
 
9.6%
0 859
 
8.0%
2 662
 
6.2%
) 587
 
5.5%
( 587
 
5.5%
3 499
 
4.7%
4 409
 
3.8%
5 326
 
3.1%
Other values (36) 1172
 
11.0%
Hangul
ValueCountFrequency (%)
동 1077
 
8.1%
인 663
 
5.0%
시 650
 
4.9%
구 638
 
4.8%
천 637
 
4.8%
광 618
 
4.6%
로 616
 
4.6%
역 611
 
4.6%
호 543
 
4.1%
길 254
 
1.9%
Other values (358) 7013
52.7%

연락처
Text

MISSING 

Distinct69
Distinct (%)100.0%
Missing534
Missing (%)88.6%
Memory size4.8 KiB
2023-12-13T05:24:48.586801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.072464
Min length12

Characters and Unicode

Total characters833
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

Unique69 ?
Unique (%)100.0%

Sample

1st row032-553-7173
2nd row032-865-1601
3rd row032-442-2123
4th row032-548-3024
5th row032-519-0031
ValueCountFrequency (%)
032-428-7789 1
 
1.4%
032-568-5601 1
 
1.4%
032-461-6170 1
 
1.4%
032-831-9966 1
 
1.4%
032-463-0398 1
 
1.4%
032-763-4778 1
 
1.4%
032-571-4993 1
 
1.4%
032-544-8756 1
 
1.4%
032-556-1503 1
 
1.4%
032-761-3361 1
 
1.4%
Other values (59) 59
85.5%
2023-12-13T05:24:49.139457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 140
16.8%
2 123
14.8%
0 115
13.8%
3 115
13.8%
5 74
8.9%
1 56
 
6.7%
4 49
 
5.9%
8 48
 
5.8%
6 47
 
5.6%
7 38
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 693
83.2%
Dash Punctuation 140
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 123
17.7%
0 115
16.6%
3 115
16.6%
5 74
10.7%
1 56
8.1%
4 49
 
7.1%
8 48
 
6.9%
6 47
 
6.8%
7 38
 
5.5%
9 28
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 833
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 140
16.8%
2 123
14.8%
0 115
13.8%
3 115
13.8%
5 74
8.9%
1 56
 
6.7%
4 49
 
5.9%
8 48
 
5.8%
6 47
 
5.6%
7 38
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 833
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 140
16.8%
2 123
14.8%
0 115
13.8%
3 115
13.8%
5 74
8.9%
1 56
 
6.7%
4 49
 
5.9%
8 48
 
5.8%
6 47
 
5.6%
7 38
 
4.6%

주요 취급품목
Categorical

IMBALANCE 

Distinct8
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
화장품
361 
화장품
205 
건강식품/화장품
 
24
생활용품
 
5
건강식품
 
3
Other values (3)
 
5

Length

Max length12
Median length4
Mean length3.8656716
Min length3

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
화장품 361
59.9%
화장품 205
34.0%
건강식품/화장품 24
 
4.0%
생활용품 5
 
0.8%
건강식품 3
 
0.5%
건강식품, 화장품 3
 
0.5%
화장품 /일반식품 1
 
0.2%
화장품 , 건강기능식품 1
 
0.2%

Length

2023-12-13T05:24:49.333551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:24:49.508906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화장품 571
93.8%
건강식품/화장품 24
 
3.9%
건강식품 6
 
1.0%
생활용품 5
 
0.8%
일반식품 1
 
0.2%
1
 
0.2%
건강기능식품 1
 
0.2%

Interactions

2023-12-13T05:24:43.400472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:24:49.634422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번연락처주요 취급품목
연번1.0001.0000.695
연락처1.0001.0001.000
주요 취급품목0.6951.0001.000
2023-12-13T05:24:49.752702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번주요 취급품목
연번1.0000.424
주요 취급품목0.4241.000

Missing values

2023-12-13T05:24:43.559536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:24:43.703594image/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

연번상호등록번호대표자사업장 소재지연락처주요 취급품목
01한국화장품 계산지사인천-2013-1호박순복인천광역시 계양구 경명대로 1074, 304,305호(계산동,삼환1빌딩)032-553-7173화장품
12중구상사인천-2013-3호김혜기인천광역시 중구 서해대로454번길 5-1, 5층(신흥동2가, 대성신협)032-865-1601화장품
23한국화장품부평대리점인천-2013-4호서영석인천광역시 남동구 문화로 145번길 15, 동인빌딩 1층(구월동)032-442-2123화장품
34건강생활계산지점인천-2013-7호김미순인천광역시 계양구 계양대로 101, 삼성프라자 203호(작전동)032-548-3024건강식품/화장품
45인천부평건강생활인천-2013-9호이인숙인천광역시 부평구 부평문화로 47, 301호(정경빌딩)032-519-0031건강식품/화장품
56신인천자연건강인천-2013-11호윤인숙인천광역시 미추홀구 구월로 17, 702호(주안동)032-435-0462건강식품/화장품
67송도자연건강인천-2013-14호이순희인천광역시 연수구 비류대로 208, 401호 B(옥련동, 비류프라자)032-831-1155건강식품/화장품
78부평건강생활인천-2013-15호김정임인천광역시 부평구 마장로 1, 부영빌딩 5층(십정동)032-467-7893건강식품/화장품
89LG오휘화장품인천-2013-41호김승원인천광역시 미추홀구 구월로 17, 할렐루야빌딩4층(주안동)032-428-7789화장품
910오휘계양점인천-2013-44호조재균인천광역시 계양구 계산새로 71, D동 710, 711호(계산동, 하이베라스빌딩)032-556-6540화장품
연번상호등록번호대표자사업장 소재지연락처주요 취급품목
593594인셀덤 코리아인천-2023-86호최문정인천광역시 중구 인항로 30, 104동 2002호(신흥동3가, 신흥아이파크)<NA>화장품
594595뷰티풀-에이치(Beautiful-H)인천-2023-87호한아름인천광역시 계양구 용종로124, 139동 102호(병방동, 학마을한진아파트)<NA>화장품
595596경희 Health&Beauty인천-2023-88호노경희인천광역시 남동구 장수로 20-1, 3동 201호(장수동, 중앙힐타운)<NA>화장품
596597뷰티도로시인천-2023-89호박미예인천광역시 서구 청라라임로 131, 262동 1202호(청라동, 중흥S클래스아파트)<NA>화장품
597598소리 인셀덤(SORI INCELLDERM)인천-2023-90호박태하인천광역시 서구 청라에메랄드로 65, 142동 1404호(청라동, 서해그랑블)<NA>화장품
598599인셀덤 위너탑인천-2023-91호이명숙인천광역시 미추홀구 낙섬중로 102, 10동 303호(용현동, 유원용현아파트)<NA>화장품
599600에뜰인천-2023-92호권지선인천광역시 서구 청라커낼로 300, A동 1505호(청라동, 청라센트럴에일린의뜰)<NA>화장품
600601차오름 인셀덤인천-2023-93호김윤하인천광역시 서구 검단로 788, 206동 1601호(불로동, 퀸스타운 동성아파트)<NA>화장품
601602보테,쏠인천-2023-94호전샛별인천광역시 부평구 세월천로40번길 24, 상가동 105호(청천동, 아이오시티)<NA>화장품
602603유니베라 연수대리점인천-2023-95호백선호인천광역시 연수구 벚꽃로 106, 402-1호(청학동, 연수광장프라자)<NA>건강식품, 화장품