Overview

Dataset statistics

Number of variables6
Number of observations140
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory49.9 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description인천광역시 서구에 위치한 모든 방문판매업 현황(관리번호, 대표자명, 상호명, 소재지(도로명,지번), 취급품목)이 포함된 데이터 입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3044205&srcSe=7661IVAWM27C61E190

Alerts

번호 has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:07:10.086990
Analysis finished2024-03-18 04:07:10.698184
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.5
Minimum1
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-18T13:07:10.754252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.95
Q135.75
median70.5
Q3105.25
95-th percentile133.05
Maximum140
Range139
Interquartile range (IQR)69.5

Descriptive statistics

Standard deviation40.5586
Coefficient of variation (CV)0.57529928
Kurtosis-1.2
Mean70.5
Median Absolute Deviation (MAD)35
Skewness0
Sum9870
Variance1645
MonotonicityStrictly increasing
2024-03-18T13:07:10.868846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
98 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
99 1
 
0.7%
90 1
 
0.7%
Other values (130) 130
92.9%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%

관리번호
Text

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-18T13:07:11.039775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.692857
Min length8

Characters and Unicode

Total characters1917
Distinct characters15
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

Unique140 ?
Unique (%)100.0%

Sample

1st row2023-인천서구-0013
2nd row2023-인천서구-0012
3rd row2023-인천서구-0011
4th row2023-인천서구-0010
5th row2023-인천서구-0008
ValueCountFrequency (%)
2023-인천서구-0013 1
 
0.7%
2018-인천서구-0014 1
 
0.7%
2017-인천서구-0019 1
 
0.7%
2017-인천서구-0020 1
 
0.7%
2017-인천서구-0021 1
 
0.7%
2017-인천서구-0022 1
 
0.7%
2017-인천서구-0026 1
 
0.7%
2017-인천서구-0031 1
 
0.7%
2017-인천서구-0032 1
 
0.7%
2018-인천서구-0015 1
 
0.7%
Other values (130) 130
92.9%
2024-03-18T13:07:11.348646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 503
26.2%
2 276
14.4%
- 270
14.1%
1 148
 
7.7%
서 132
 
6.9%
구 132
 
6.9%
인 130
 
6.8%
천 130
 
6.8%
3 51
 
2.7%
9 30
 
1.6%
Other values (5) 115
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1123
58.6%
Other Letter 524
27.3%
Dash Punctuation 270
 
14.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 503
44.8%
2 276
24.6%
1 148
 
13.2%
3 51
 
4.5%
9 30
 
2.7%
8 29
 
2.6%
7 26
 
2.3%
4 24
 
2.1%
6 19
 
1.7%
5 17
 
1.5%
Other Letter
ValueCountFrequency (%)
서 132
25.2%
구 132
25.2%
인 130
24.8%
천 130
24.8%
Dash Punctuation
ValueCountFrequency (%)
- 270
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1393
72.7%
Hangul 524
 
27.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 503
36.1%
2 276
19.8%
- 270
19.4%
1 148
 
10.6%
3 51
 
3.7%
9 30
 
2.2%
8 29
 
2.1%
7 26
 
1.9%
4 24
 
1.7%
6 19
 
1.4%
Hangul
ValueCountFrequency (%)
서 132
25.2%
구 132
25.2%
인 130
24.8%
천 130
24.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1393
72.7%
Hangul 524
 
27.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 503
36.1%
2 276
19.8%
- 270
19.4%
1 148
 
10.6%
3 51
 
3.7%
9 30
 
2.2%
8 29
 
2.1%
7 26
 
1.9%
4 24
 
1.7%
6 19
 
1.4%
Hangul
ValueCountFrequency (%)
서 132
25.2%
구 132
25.2%
인 130
24.8%
천 130
24.8%

대표자명
Text

Distinct133
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-18T13:07:11.626911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0714286
Min length2

Characters and Unicode

Total characters430
Distinct characters118
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)90.7%

Sample

1st row서충렬
2nd row김유경
3rd row이용권
4th row전병옥
5th row정한태
ValueCountFrequency (%)
이동호 3
 
2.1%
김풍기 2
 
1.4%
배민성 2
 
1.4%
강미영 2
 
1.4%
박태규 2
 
1.4%
장유림 2
 
1.4%
김희서 1
 
0.7%
박재현 1
 
0.7%
최성호 1
 
0.7%
배상범 1
 
0.7%
Other values (123) 123
87.9%
2024-03-18T13:07:11.998241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 26
 
6.0%
이 21
 
4.9%
박 16
 
3.7%
정 15
 
3.5%
영 12
 
2.8%
성 11
 
2.6%
희 11
 
2.6%
호 9
 
2.1%
경 8
 
1.9%
태 8
 
1.9%
Other values (108) 293
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 427
99.3%
Other Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 26
 
6.1%
이 21
 
4.9%
박 16
 
3.7%
정 15
 
3.5%
영 12
 
2.8%
성 11
 
2.6%
희 11
 
2.6%
호 9
 
2.1%
경 8
 
1.9%
태 8
 
1.9%
Other values (107) 290
67.9%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 427
99.3%
Common 3
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 26
 
6.1%
이 21
 
4.9%
박 16
 
3.7%
정 15
 
3.5%
영 12
 
2.8%
성 11
 
2.6%
희 11
 
2.6%
호 9
 
2.1%
경 8
 
1.9%
태 8
 
1.9%
Other values (107) 290
67.9%
Common
ValueCountFrequency (%)
, 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 427
99.3%
ASCII 3
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 26
 
6.1%
이 21
 
4.9%
박 16
 
3.7%
정 15
 
3.5%
영 12
 
2.8%
성 11
 
2.6%
희 11
 
2.6%
호 9
 
2.1%
경 8
 
1.9%
태 8
 
1.9%
Other values (107) 290
67.9%
ASCII
ValueCountFrequency (%)
, 3
100.0%

법인또는상호
Text

Distinct139
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-18T13:07:12.234463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length24
Mean length9.6642857
Min length2

Characters and Unicode

Total characters1353
Distinct characters266
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

Unique138 ?
Unique (%)98.6%

Sample

1st row리앙빈 강북
2nd row거꾸로 가는 시간
3rd row해인선원
4th row유니베라 인천서구청점
5th row티오피(TOP)
ValueCountFrequency (%)
주식회사 23
 
9.8%
인셀덤 4
 
1.7%
김정문알로에 3
 
1.3%
마임 3
 
1.3%
주 3
 
1.3%
에치와이 3
 
1.3%
대리점 3
 
1.3%
헬스벨스토리 2
 
0.9%
ltd 2
 
0.9%
윤선생영어교실 2
 
0.9%
Other values (175) 186
79.5%
2024-03-18T13:07:12.554023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
7.0%
리 41
 
3.0%
인 38
 
2.8%
사 38
 
2.8%
스 37
 
2.7%
주 35
 
2.6%
점 32
 
2.4%
대 28
 
2.1%
천 26
 
1.9%
이 25
 
1.8%
Other values (256) 958
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1090
80.6%
Space Separator 95
 
7.0%
Uppercase Letter 58
 
4.3%
Lowercase Letter 50
 
3.7%
Open Punctuation 23
 
1.7%
Close Punctuation 23
 
1.7%
Other Punctuation 7
 
0.5%
Decimal Number 3
 
0.2%
Other Symbol 2
 
0.1%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 41
 
3.8%
인 38
 
3.5%
사 38
 
3.5%
스 37
 
3.4%
주 35
 
3.2%
점 32
 
2.9%
대 28
 
2.6%
천 26
 
2.4%
이 25
 
2.3%
식 25
 
2.3%
Other values (212) 765
70.2%
Uppercase Letter
ValueCountFrequency (%)
S 8
13.8%
C 6
10.3%
L 5
8.6%
I 5
8.6%
N 5
8.6%
T 4
 
6.9%
M 4
 
6.9%
K 4
 
6.9%
P 4
 
6.9%
B 2
 
3.4%
Other values (9) 11
19.0%
Lowercase Letter
ValueCountFrequency (%)
o 11
22.0%
n 8
16.0%
t 7
14.0%
a 5
10.0%
i 4
 
8.0%
l 3
 
6.0%
d 2
 
4.0%
e 2
 
4.0%
u 2
 
4.0%
r 1
 
2.0%
Other values (5) 5
10.0%
Other Punctuation
ValueCountFrequency (%)
. 6
85.7%
& 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
4 1
33.3%
Space Separator
ValueCountFrequency (%)
95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1092
80.7%
Common 153
 
11.3%
Latin 108
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 41
 
3.8%
인 38
 
3.5%
사 38
 
3.5%
스 37
 
3.4%
주 35
 
3.2%
점 32
 
2.9%
대 28
 
2.6%
천 26
 
2.4%
이 25
 
2.3%
식 25
 
2.3%
Other values (213) 767
70.2%
Latin
ValueCountFrequency (%)
o 11
 
10.2%
n 8
 
7.4%
S 8
 
7.4%
t 7
 
6.5%
C 6
 
5.6%
L 5
 
4.6%
a 5
 
4.6%
I 5
 
4.6%
N 5
 
4.6%
T 4
 
3.7%
Other values (24) 44
40.7%
Common
ValueCountFrequency (%)
95
62.1%
( 23
 
15.0%
) 23
 
15.0%
. 6
 
3.9%
1 2
 
1.3%
_ 1
 
0.7%
- 1
 
0.7%
4 1
 
0.7%
& 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1090
80.6%
ASCII 261
 
19.3%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
36.4%
( 23
 
8.8%
) 23
 
8.8%
o 11
 
4.2%
n 8
 
3.1%
S 8
 
3.1%
t 7
 
2.7%
. 6
 
2.3%
C 6
 
2.3%
L 5
 
1.9%
Other values (33) 69
26.4%
Hangul
ValueCountFrequency (%)
리 41
 
3.8%
인 38
 
3.5%
사 38
 
3.5%
스 37
 
3.4%
주 35
 
3.2%
점 32
 
2.9%
대 28
 
2.6%
천 26
 
2.4%
이 25
 
2.3%
식 25
 
2.3%
Other values (212) 765
70.2%
None
ValueCountFrequency (%)
㈜ 2
100.0%

소재지주소
Text

Distinct96
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-18T13:07:12.772984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length15.285714
Min length12

Characters and Unicode

Total characters2140
Distinct characters110
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

Unique79 ?
Unique (%)56.4%

Sample

1st row인천광역시 서구 고래울로
2nd row인천광역시 서구 가경주로40번길
3rd row인천광역시 서구 심곡로
4th row인천광역시 서구 서곶로301번길
5th row인천광역시 서구 완정로
ValueCountFrequency (%)
인천광역시 140
33.0%
서구 140
33.0%
가정로 9
 
2.1%
완정로 8
 
1.9%
서곶로 7
 
1.7%
검단로 7
 
1.7%
석남로 5
 
1.2%
청라커낼로260번길 4
 
0.9%
승학로 3
 
0.7%
원적로 3
 
0.7%
Other values (86) 98
23.1%
2024-03-18T13:07:13.122065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
404
18.9%
서 151
 
7.1%
천 142
 
6.6%
구 141
 
6.6%
인 140
 
6.5%
시 140
 
6.5%
역 140
 
6.5%
광 140
 
6.5%
로 134
 
6.3%
길 59
 
2.8%
Other values (100) 549
25.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1581
73.9%
Space Separator 404
 
18.9%
Decimal Number 155
 
7.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 151
9.6%
천 142
9.0%
구 141
8.9%
인 140
8.9%
시 140
8.9%
역 140
8.9%
광 140
8.9%
로 134
 
8.5%
길 59
 
3.7%
번 58
 
3.7%
Other values (89) 336
21.3%
Decimal Number
ValueCountFrequency (%)
2 30
19.4%
1 22
14.2%
3 19
12.3%
6 17
11.0%
0 15
9.7%
5 14
9.0%
4 11
 
7.1%
9 10
 
6.5%
7 10
 
6.5%
8 7
 
4.5%
Space Separator
ValueCountFrequency (%)
404
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1581
73.9%
Common 559
 
26.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 151
9.6%
천 142
9.0%
구 141
8.9%
인 140
8.9%
시 140
8.9%
역 140
8.9%
광 140
8.9%
로 134
 
8.5%
길 59
 
3.7%
번 58
 
3.7%
Other values (89) 336
21.3%
Common
ValueCountFrequency (%)
404
72.3%
2 30
 
5.4%
1 22
 
3.9%
3 19
 
3.4%
6 17
 
3.0%
0 15
 
2.7%
5 14
 
2.5%
4 11
 
2.0%
9 10
 
1.8%
7 10
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1581
73.9%
ASCII 559
 
26.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
404
72.3%
2 30
 
5.4%
1 22
 
3.9%
3 19
 
3.4%
6 17
 
3.0%
0 15
 
2.7%
5 14
 
2.5%
4 11
 
2.0%
9 10
 
1.8%
7 10
 
1.8%
Hangul
ValueCountFrequency (%)
서 151
9.6%
천 142
9.0%
구 141
8.9%
인 140
8.9%
시 140
8.9%
역 140
8.9%
광 140
8.9%
로 134
 
8.5%
길 59
 
3.7%
번 58
 
3.7%
Other values (89) 336
21.3%

취급품목
Categorical

Distinct39
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
기타
41 
자동차/자동차용품
12 
건강식품 화장품/미용용품
12 
화장품/미용용품
10 
통신기기
8 
Other values (34)
57 

Length

Max length72
Median length35
Mean length8.9071429
Min length2

Unique

Unique26 ?
Unique (%)18.6%

Sample

1st row건강식품 화장품/미용용품 생활용품/세제류 가전 의류/패션
2nd row건강식품 화장품/미용용품 생활용품/세제류 가전 기타
3rd row생활용품/세제류 기타
4th row건강식품 화장품/미용용품
5th row통신기기

Common Values

ValueCountFrequency (%)
기타 41
29.3%
자동차/자동차용품 12
 
8.6%
건강식품 화장품/미용용품 12
 
8.6%
화장품/미용용품 10
 
7.1%
통신기기 8
 
5.7%
건강식품 8
 
5.7%
교육/도서 7
 
5.0%
가전 4
 
2.9%
생활용품/세제류 가전 3
 
2.1%
화장품/미용용품 건강식품 3
 
2.1%
Other values (29) 32
22.9%

Length

2024-03-18T13:07:13.257494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 58
24.8%
건강식품 36
15.4%
화장품/미용용품 36
15.4%
가전 21
 
9.0%
자동차/자동차용품 19
 
8.1%
생활용품/세제류 18
 
7.7%
통신기기 15
 
6.4%
의류/패션 10
 
4.3%
교육/도서 9
 
3.8%
컴퓨터/사무용품 9
 
3.8%

Interactions

2024-03-18T13:07:10.447308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:07:13.334230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호소재지주소취급품목
번호1.0000.6000.532
소재지주소0.6001.0000.910
취급품목0.5320.9101.000
2024-03-18T13:07:13.425464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호취급품목
번호1.0000.182
취급품목0.1821.000

Missing values

2024-03-18T13:07:10.560760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:07:10.658603image/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

번호관리번호대표자명법인또는상호소재지주소취급품목
012023-인천서구-0013서충렬리앙빈 강북인천광역시 서구 고래울로건강식품 화장품/미용용품 생활용품/세제류 가전 의류/패션
122023-인천서구-0012김유경거꾸로 가는 시간인천광역시 서구 가경주로40번길건강식품 화장품/미용용품 생활용품/세제류 가전 기타
232023-인천서구-0011이용권해인선원인천광역시 서구 심곡로생활용품/세제류 기타
342023-인천서구-0010전병옥유니베라 인천서구청점인천광역시 서구 서곶로301번길건강식품 화장품/미용용품
452023-인천서구-0008정한태티오피(TOP)인천광역시 서구 완정로통신기기
562023-인천서구-0007박경운인천검단뉴랜드올네이처인천광역시 서구 청마로167번길건강식품 화장품/미용용품
672023-인천서구-0006조석호르노코리아자동차 서인천대리점인천광역시 서구 서곶로자동차/자동차용품
782023-인천서구-0005장진혁드림마케팅인천광역시 서구 가람로기타
892023-인천서구-0003유소라에스알프레시인천광역시 서구 청라에메랄드로133번길건강식품
9102023-인천서구-0002권재희인천아트모마 서구지사인천광역시 서구 봉오재3로교육/도서
번호관리번호대표자명법인또는상호소재지주소취급품목
130131서구2008-8김문정쌍용자동차 서인천판매대리점인천광역시 서구 서곶로자동차/자동차용품
1311322017-인천서구-0036정민숙김정문알로에인천광역시 서구 원적로화장품/미용용품 건강식품
1321332007-00003모석민현대건설장비인천지점인천광역시 서구 북항로31번길기타
1331342007-00001김성태백옥생검단지사인천광역시 서구 원당동 75블럭화장품/미용용품
1341352005-00025박종회기아가정대리점인천광역시 서구 가정로자동차/자동차용품
1351362005-00021강미영주식회사 한통인천광역시 서구 검단로기타
1361372005-00010김성기케이지모빌리티 인천검단판매대리점인천광역시 서구 서곶로자동차/자동차용품
1371382004-00023강희대현대지게차인천북부판매인천광역시 서구 경서동기타
1381391998-00038신용윤현대거북판매대리점인천광역시 서구 석남2동자동차/자동차용품
1391401998-00036심재환현대북인천판매대리점인천광역시 서구 서곶로자동차/자동차용품