Overview

Dataset statistics

Number of variables5
Number of observations92
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory44.4 B

Variable types

Numeric3
Text2

Dataset

Description인천광역시 미추홀구에 영업 신고된 방문판매업체 전체 현황에 대한 데이터로 상호명, 도로명주소, 위도, 경도 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15071224/fileData.do

Alerts

연번 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:09:21.573233
Analysis finished2023-12-12 07:09:23.195310
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.5
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-12T16:09:23.274412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.55
Q123.75
median46.5
Q369.25
95-th percentile87.45
Maximum92
Range91
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation26.70206
Coefficient of variation (CV)0.57423785
Kurtosis-1.2
Mean46.5
Median Absolute Deviation (MAD)23
Skewness0
Sum4278
Variance713
MonotonicityStrictly increasing
2023-12-12T16:09:23.439665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%

상호명
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-12T16:09:23.663798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length14
Mean length8.8804348
Min length3

Characters and Unicode

Total characters817
Distinct characters232
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)100.0%

Sample

1st row제이케이 바이민
2nd row인뱅크
3rd row홈앤쇼핑오투헬스케어
4th row네이처하이
5th row현대인주판매대리점
ValueCountFrequency (%)
주식회사 8
 
6.2%
에치와이 4
 
3.1%
기아 3
 
2.3%
연세우유 2
 
1.6%
엘리시움파트너스 1
 
0.8%
인하점 1
 
0.8%
에치와이(hy 1
 
0.8%
단디코리아 1
 
0.8%
관교점 1
 
0.8%
도시가스안전관리 1
 
0.8%
Other values (105) 105
82.0%
2023-12-12T16:09:24.078206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
4.4%
리 29
 
3.5%
이 26
 
3.2%
주 25
 
3.1%
점 24
 
2.9%
대 23
 
2.8%
사 22
 
2.7%
인 20
 
2.4%
천 16
 
2.0%
스 14
 
1.7%
Other values (222) 582
71.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 736
90.1%
Space Separator 36
 
4.4%
Open Punctuation 11
 
1.3%
Close Punctuation 11
 
1.3%
Decimal Number 8
 
1.0%
Lowercase Letter 7
 
0.9%
Uppercase Letter 6
 
0.7%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 29
 
3.9%
이 26
 
3.5%
주 25
 
3.4%
점 24
 
3.3%
대 23
 
3.1%
사 22
 
3.0%
인 20
 
2.7%
천 16
 
2.2%
스 14
 
1.9%
아 13
 
1.8%
Other values (202) 524
71.2%
Lowercase Letter
ValueCountFrequency (%)
y 2
28.6%
h 1
14.3%
r 1
14.3%
o 1
14.3%
t 1
14.3%
s 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
8 2
25.0%
4 1
 
12.5%
0 1
 
12.5%
2 1
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
G 3
50.0%
K 1
 
16.7%
S 1
 
16.7%
O 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 736
90.1%
Common 68
 
8.3%
Latin 13
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 29
 
3.9%
이 26
 
3.5%
주 25
 
3.4%
점 24
 
3.3%
대 23
 
3.1%
사 22
 
3.0%
인 20
 
2.7%
천 16
 
2.2%
스 14
 
1.9%
아 13
 
1.8%
Other values (202) 524
71.2%
Common
ValueCountFrequency (%)
36
52.9%
( 11
 
16.2%
) 11
 
16.2%
1 3
 
4.4%
8 2
 
2.9%
/ 1
 
1.5%
4 1
 
1.5%
& 1
 
1.5%
0 1
 
1.5%
2 1
 
1.5%
Latin
ValueCountFrequency (%)
G 3
23.1%
y 2
15.4%
h 1
 
7.7%
K 1
 
7.7%
r 1
 
7.7%
o 1
 
7.7%
t 1
 
7.7%
s 1
 
7.7%
S 1
 
7.7%
O 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 736
90.1%
ASCII 81
 
9.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
44.4%
( 11
 
13.6%
) 11
 
13.6%
1 3
 
3.7%
G 3
 
3.7%
8 2
 
2.5%
y 2
 
2.5%
h 1
 
1.2%
/ 1
 
1.2%
4 1
 
1.2%
Other values (10) 10
 
12.3%
Hangul
ValueCountFrequency (%)
리 29
 
3.9%
이 26
 
3.5%
주 25
 
3.4%
점 24
 
3.3%
대 23
 
3.1%
사 22
 
3.0%
인 20
 
2.7%
천 16
 
2.2%
스 14
 
1.9%
아 13
 
1.8%
Other values (202) 524
71.2%

도로명주소
Text

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-12T16:09:24.417925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length41
Mean length34.141304
Min length24

Characters and Unicode

Total characters3141
Distinct characters160
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

Unique90 ?
Unique (%)97.8%

Sample

1st row인천광역시 미추홀구 경인로162번길 29， 701호 (도화동， 더블유하우스)
2nd row인천광역시 미추홀구 인주대로11번길 49， 2층 (숭의동)
3rd row인천광역시 미추홀구 아암대로29번길 48， 백운프라자 4층 402호 (용현동)
4th row인천광역시 미추홀구 인주대로132번길 12， 5층 (용현동)
5th row인천광역시 미추홀구 인주대로 438， 1층，2층 (주안동)
ValueCountFrequency (%)
인천광역시 92
 
15.3%
미추홀구 92
 
15.3%
주안동 47
 
7.8%
1층 15
 
2.5%
2층 14
 
2.3%
용현동 11
 
1.8%
경인로 10
 
1.7%
도화동 8
 
1.3%
경원대로 8
 
1.3%
4층 6
 
1.0%
Other values (236) 298
49.6%
2023-12-12T16:09:24.903856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
509
 
16.2%
인 120
 
3.8%
1 107
 
3.4%
동 102
 
3.2%
홀 100
 
3.2%
미 99
 
3.2%
추 98
 
3.1%
천 94
 
3.0%
， 93
 
3.0%
( 92
 
2.9%
Other values (150) 1727
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1803
57.4%
Decimal Number 528
 
16.8%
Space Separator 509
 
16.2%
Other Punctuation 93
 
3.0%
Open Punctuation 92
 
2.9%
Close Punctuation 92
 
2.9%
Dash Punctuation 13
 
0.4%
Uppercase Letter 7
 
0.2%
Lowercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 120
 
6.7%
동 102
 
5.7%
홀 100
 
5.5%
미 99
 
5.5%
추 98
 
5.4%
천 94
 
5.2%
구 92
 
5.1%
시 92
 
5.1%
역 92
 
5.1%
광 92
 
5.1%
Other values (125) 822
45.6%
Decimal Number
ValueCountFrequency (%)
1 107
20.3%
2 85
16.1%
0 66
12.5%
4 57
10.8%
3 57
10.8%
5 39
 
7.4%
8 34
 
6.4%
6 30
 
5.7%
9 28
 
5.3%
7 25
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
28.6%
K 1
14.3%
T 1
14.3%
D 1
14.3%
H 1
14.3%
B 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
v 1
33.3%
g 1
33.3%
c 1
33.3%
Space Separator
ValueCountFrequency (%)
509
100.0%
Other Punctuation
ValueCountFrequency (%)
， 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1803
57.4%
Common 1328
42.3%
Latin 10
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 120
 
6.7%
동 102
 
5.7%
홀 100
 
5.5%
미 99
 
5.5%
추 98
 
5.4%
천 94
 
5.2%
구 92
 
5.1%
시 92
 
5.1%
역 92
 
5.1%
광 92
 
5.1%
Other values (125) 822
45.6%
Common
ValueCountFrequency (%)
509
38.3%
1 107
 
8.1%
， 93
 
7.0%
( 92
 
6.9%
) 92
 
6.9%
2 85
 
6.4%
0 66
 
5.0%
4 57
 
4.3%
3 57
 
4.3%
5 39
 
2.9%
Other values (6) 131
 
9.9%
Latin
ValueCountFrequency (%)
S 2
20.0%
K 1
10.0%
T 1
10.0%
v 1
10.0%
g 1
10.0%
c 1
10.0%
D 1
10.0%
H 1
10.0%
B 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1803
57.4%
ASCII 1245
39.6%
None 93
 
3.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
509
40.9%
1 107
 
8.6%
( 92
 
7.4%
) 92
 
7.4%
2 85
 
6.8%
0 66
 
5.3%
4 57
 
4.6%
3 57
 
4.6%
5 39
 
3.1%
8 34
 
2.7%
Other values (14) 107
 
8.6%
Hangul
ValueCountFrequency (%)
인 120
 
6.7%
동 102
 
5.7%
홀 100
 
5.5%
미 99
 
5.5%
추 98
 
5.4%
천 94
 
5.2%
구 92
 
5.1%
시 92
 
5.1%
역 92
 
5.1%
광 92
 
5.1%
Other values (125) 822
45.6%
None
ValueCountFrequency (%)
， 93
100.0%

위도
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.456745
Minimum37.438291
Maximum37.475312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-12T16:09:25.033745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.438291
5-th percentile37.442221
Q137.451765
median37.45808
Q337.462134
95-th percentile37.467288
Maximum37.475312
Range0.037020445
Interquartile range (IQR)0.010368508

Descriptive statistics

Standard deviation0.0076627821
Coefficient of variation (CV)0.00020457683
Kurtosis-0.14911873
Mean37.456745
Median Absolute Deviation (MAD)0.0053176242
Skewness-0.3799932
Sum3446.0205
Variance5.8718229 × 10-5
MonotonicityNot monotonic
2023-12-12T16:09:25.160419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4603920721703 2
 
2.2%
37.4582296731188 2
 
2.2%
37.4621075886681 2
 
2.2%
37.4601989604346 2
 
2.2%
37.4647989570222 1
 
1.1%
37.4538921084761 1
 
1.1%
37.462458465181 1
 
1.1%
37.4495670390282 1
 
1.1%
37.4641821707021 1
 
1.1%
37.4591391479023 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
37.4382914292228 1
1.1%
37.4401610364653 1
1.1%
37.4402765945481 1
1.1%
37.4416232223269 1
1.1%
37.4418149443926 1
1.1%
37.4425537278074 1
1.1%
37.4433905505743 1
1.1%
37.4436587259104 1
1.1%
37.4444197485576 1
1.1%
37.4458744368792 1
1.1%
ValueCountFrequency (%)
37.4753118746295 1
1.1%
37.4721160366582 1
1.1%
37.4697614303099 1
1.1%
37.4687066080924 1
1.1%
37.4674174170863 1
1.1%
37.4671827155724 1
1.1%
37.4665746194362 1
1.1%
37.4657359183131 1
1.1%
37.4655418072149 1
1.1%
37.4647989570222 1
1.1%

경도
Real number (ℝ)

Distinct88
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.67285
Minimum126.63226
Maximum126.6961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-12T16:09:25.305227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63226
5-th percentile126.64036
Q1126.66158
median126.67797
Q3126.68784
95-th percentile126.69306
Maximum126.6961
Range0.06383668
Interquartile range (IQR)0.026256414

Descriptive statistics

Standard deviation0.016761296
Coefficient of variation (CV)0.00013231956
Kurtosis-0.55771709
Mean126.67285
Median Absolute Deviation (MAD)0.011241463
Skewness-0.69173556
Sum11653.902
Variance0.00028094104
MonotonicityNot monotonic
2023-12-12T16:09:25.421310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.689137871359 2
 
2.2%
126.690450693426 2
 
2.2%
126.68937627505 2
 
2.2%
126.679880900748 2
 
2.2%
126.661009356297 1
 
1.1%
126.64065018412 1
 
1.1%
126.678139834869 1
 
1.1%
126.692673198051 1
 
1.1%
126.670743901943 1
 
1.1%
126.682871381691 1
 
1.1%
Other values (78) 78
84.8%
ValueCountFrequency (%)
126.63226354014 1
1.1%
126.63517969026 1
1.1%
126.638015239648 1
1.1%
126.639054580774 1
1.1%
126.640003912281 1
1.1%
126.64065018412 1
1.1%
126.640682262109 1
1.1%
126.643138845579 1
1.1%
126.646962682962 1
1.1%
126.648036213764 1
1.1%
ValueCountFrequency (%)
126.696100219909 1
1.1%
126.694811300122 1
1.1%
126.694803570992 1
1.1%
126.693627998992 1
1.1%
126.693527779603 1
1.1%
126.692673198051 1
1.1%
126.691317945754 1
1.1%
126.690721967402 1
1.1%
126.690450693426 2
2.2%
126.690343071062 1
1.1%

Interactions

2023-12-12T16:09:22.597768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:21.970106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:22.248853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:22.699583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:22.044382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:22.374694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:22.860350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:22.138282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:09:22.488000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:09:25.511236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명도로명주소위도경도
연번1.0001.0000.9360.5150.338
상호명1.0001.0001.0001.0001.000
도로명주소0.9361.0001.0001.0001.000
위도0.5151.0001.0001.0000.619
경도0.3381.0001.0000.6191.000
2023-12-12T16:09:25.987535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.1450.119
위도-0.1451.000-0.037
경도0.119-0.0371.000

Missing values

2023-12-12T16:09:23.033798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:09:23.152538image/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

연번상호명도로명주소위도경도
01제이케이 바이민인천광역시 미추홀구 경인로162번길 29， 701호 (도화동， 더블유하우스)37.464799126.661009
12인뱅크인천광역시 미추홀구 인주대로11번길 49， 2층 (숭의동)37.46266126.640682
23홈앤쇼핑오투헬스케어인천광역시 미추홀구 아암대로29번길 48， 백운프라자 4층 402호 (용현동)37.457113126.639055
34네이처하이인천광역시 미추홀구 인주대로132번길 12， 5층 (용현동)37.455833126.651707
45현대인주판매대리점인천광역시 미추홀구 인주대로 438， 1층，2층 (주안동)37.450745126.685384
56글로벌코리아무역인천광역시 미추홀구 인주대로 131， 2층 (용현동)37.456623126.651736
67또또점 이오스타인천광역시 미추홀구 아암대로29번길 16， 104동 28층 02호 (용현동， 인천 용현 엑슬루타워)37.456661126.638015
78종근당건강헬스벨스토리 인천주안점인천광역시 미추홀구 미추홀대로 589， 상가 나동 1층107-2호 (주안동)37.449941126.679525
89편백세상인천광역시 미추홀구 낙섬중로 80， 2층 (용현동)37.454699126.640004
910케이티엠에스인천광역시 미추홀구 주안중로 25， 신성쇼핑 1102-1호 (주안동)37.460579126.682251
연번상호명도로명주소위도경도
8283키토라이프 인천남부지사인천광역시 미추홀구 주승로96번길 10， 2층 (주안동)37.44442126.680877
8384기아법원대리점인천광역시 미추홀구 한나루로 436， 두원계전빌딩 1층 (학익동)37.445874126.666871
8485현대신인천판매대리점인천광역시 미추홀구 경인로 191 (도화동)37.465736126.663913
8586쉐보레북주안판매대리점인천광역시 미추홀구 염전로397번길 3 (주안동)37.469761126.684296
8687현대신기판매대리점인천광역시 미추홀구 인주대로470번길 12-14， 이츠 1층 101호 (주안동)37.450445126.688389
8788현대자동차제물포판매대리점인천광역시 미추홀구 인주대로 323 (주안동)37.45212126.672418
8889현대자동차남구영업소인천광역시 미추홀구 한나루로 387 (학익동)37.442554126.663361
8990기아 용현대리점인천광역시 미추홀구 인주대로 124 (용현동)37.456159126.650959
9091쉐보레인천남구영업소주식회사인천광역시 미추홀구 주승로 223， 103동 403호 (관교동， 삼환1차아파트)37.443391126.6961
9192인천프뢰벨(주)인천광역시 미추홀구 경원대로 887 (주안동)37.462108126.689376